<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>predictes — Blog</title><description>predictes is an AI transformation partner: strategy, engineering and managed services that take AI from a slide to something running in your business.</description><link>https://predictes.com</link><language>en</language><item><title>The vendor retired your model. What happens to your system</title><link>https://predictes.com/blog/the-vendor-retired-your-model-what-happens-to-your-system</link><guid isPermaLink="true">https://predictes.com/blog/the-vendor-retired-your-model-what-happens-to-your-system</guid><description>A model version is deprecated with a few months&apos; notice. Nothing is broken yet, but your prompts and thresholds were tuned to it. How a managed service plans for the swap.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>model migration</category><category>deprecation</category><category>evaluation</category><category>operations</category><category>fallback</category></item><item><title>Year two of an AI transformation: what usually comes apart</title><link>https://predictes.com/blog/year-two-of-an-ai-transformation-what-usually-comes-apart</link><guid isPermaLink="true">https://predictes.com/blog/year-two-of-an-ai-transformation-what-usually-comes-apart</guid><description>Year one ships pilots and energy. Year two is when sponsors move, models change, the partner is still on site and the cost has no owner. What to set up before it starts.</description><pubDate>Tue, 20 Oct 2026 00:00:00 GMT</pubDate><category>transformation</category><category>sponsorship</category><category>operating model</category><category>cost ownership</category><category>supplier management</category></item><item><title>An agent on Android XR glasses is a four-part system</title><link>https://predictes.com/blog/an-agent-on-android-xr-glasses-is-a-four-part-system</link><guid isPermaLink="true">https://predictes.com/blog/an-agent-on-android-xr-glasses-is-a-four-part-system</guid><description>An on-device agent on Android XR spans the glasses, a host phone, the cloud and your own systems. Permissions, observability and upkeep have to cover all four.</description><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate><category>Android XR</category><category>on-device agents</category><category>agent permissions</category><category>observability</category></item><item><title>AI glasses: from a demo to a pilot that proves something</title><link>https://predictes.com/blog/from-ai-glasses-demo-to-a-pilot-that-proves-something</link><guid isPermaLink="true">https://predictes.com/blog/from-ai-glasses-demo-to-a-pilot-that-proves-something</guid><description>Glasses with an AI agent demo beautifully. A pilot worth funding names one task, the data it will touch, how it is measured, what it costs and what stops it.</description><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate><category>XR glasses</category><category>on-device agents</category><category>pilot</category><category>field deployment</category></item><item><title>The device estate is the line missing from the business case</title><link>https://predictes.com/blog/the-device-estate-is-missing-from-the-business-case</link><guid isPermaLink="true">https://predictes.com/blog/the-device-estate-is-missing-from-the-business-case</guid><description>Field AI business cases count the model and the software and forget the devices. Who enrols, updates and replaces them decides the real cost of owning the system.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>field deployment</category><category>device management</category><category>business case</category><category>edge AI</category></item><item><title>Support contracts grow by default. Write one that shrinks</title><link>https://predictes.com/blog/support-contracts-grow-by-default-write-one-that-shrinks</link><guid isPermaLink="true">https://predictes.com/blog/support-contracts-grow-by-default-write-one-that-shrinks</guid><description>Knowledge drifts to the supplier and the support contract grows. For an AI system the opposite works better: a handover schedule and a declining support tier.</description><pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate><category>operations</category><category>handover</category><category>contracts</category><category>knowledge transfer</category></item><item><title>How to judge a supplier who promises a lights-out plant</title><link>https://predictes.com/blog/how-to-judge-a-supplier-who-promises-a-lights-out-plant</link><guid isPermaLink="true">https://predictes.com/blog/how-to-judge-a-supplier-who-promises-a-lights-out-plant</guid><description>Lights-out proposals tend to lead with machines and models. The ones worth trusting lead with exceptions, read-only access and what should stay staffed.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>dark factory</category><category>supplier selection</category><category>unattended operation</category><category>decision records</category></item><item><title>AI training converts weeks after the workshop, not during it</title><link>https://predictes.com/blog/ai-training-converts-weeks-after-the-workshop</link><guid isPermaLink="true">https://predictes.com/blog/ai-training-converts-weeks-after-the-workshop</guid><description>The workshop shows people what is possible. The weeks after show them what is in the way, and that is where training is won or lost.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>training</category><category>capability</category><category>adoption</category><category>measurement</category></item><item><title>Govern the AI portfolio, not each project separately</title><link>https://predictes.com/blog/govern-the-ai-portfolio-not-each-project-separately</link><guid isPermaLink="true">https://predictes.com/blog/govern-the-ai-portfolio-not-each-project-separately</guid><description>Per-project approval gates slow delivery and still miss the real risks. Governance that keeps pace uses proportionate lanes and evidence teams already produce.</description><pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate><category>AI governance</category><category>portfolio</category><category>risk</category><category>ISO/IEC 42001</category></item><item><title>Before anyone builds your AI application, agree whose it will be</title><link>https://predictes.com/blog/before-anyone-builds-your-ai-application-agree-whose-it-will-be</link><guid isPermaLink="true">https://predictes.com/blog/before-anyone-builds-your-ai-application-agree-whose-it-will-be</guid><description>Ownership of an AI application is decided in the first week, not at handover. What to agree before the work starts, and the questions that reveal a hidden dependency.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate><category>ownership</category><category>handover</category><category>vendor lock-in</category><category>contracts</category></item><item><title>What a good ontology project leaves behind</title><link>https://predictes.com/blog/what-a-good-ontology-project-leaves-behind</link><guid isPermaLink="true">https://predictes.com/blog/what-a-good-ontology-project-leaves-behind</guid><description>An ontology project is easy to sign off as a careful diagram. What should remain for the model to outlive a quarter, and how to spot it in the proposal.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate><category>ontology</category><category>acceptance</category><category>vendor selection</category></item><item><title>How much really goes through untouched</title><link>https://predictes.com/blog/how-much-really-goes-through-untouched</link><guid isPermaLink="true">https://predictes.com/blog/how-much-really-goes-through-untouched</guid><description>Straight-through processing is the headline number of every automation programme and the easiest one to flatter. Four definitions decide whether it means anything.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>straight-through processing</category><category>metrics</category><category>hyperautomation</category><category>operations</category></item><item><title>Write down what would make you stop before the pilot starts</title><link>https://predictes.com/blog/write-down-what-would-make-you-stop-before-the-pilot-starts</link><guid isPermaLink="true">https://predictes.com/blog/write-down-what-would-make-you-stop-before-the-pilot-starts</guid><description>A spec-driven pilot without a stopping rule never fails, it just gets extended. Agree what evidence means widen and what means stop before the first spec is written.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate><category>spec-driven</category><category>pilots</category><category>decision making</category><category>AI coding</category></item><item><title>A good transformation partner should be getting smaller</title><link>https://predictes.com/blog/a-good-transformation-partner-gets-smaller</link><guid isPermaLink="true">https://predictes.com/blog/a-good-transformation-partner-gets-smaller</guid><description>If a transformation partner is as involved in month nine as in month two, something has gone wrong. How to write the decline into the contract, and check it.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>knowledge transfer</category><category>supplier management</category><category>contracts</category><category>transformation</category></item><item><title>The first hour of an agent incident</title><link>https://predictes.com/blog/the-first-hour-of-an-agent-incident</link><guid isPermaLink="true">https://predictes.com/blog/the-first-hour-of-an-agent-incident</guid><description>When an agent does something nobody intended, the first hour depends on decisions made months earlier: its identity, its logs and who can switch it off.</description><pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>incident response</category><category>audit trail</category><category>logging</category></item><item><title>A process that works for one team erodes at twenty</title><link>https://predictes.com/blog/a-process-that-works-for-one-team-erodes-at-twenty</link><guid isPermaLink="true">https://predictes.com/blog/a-process-that-works-for-one-team-erodes-at-twenty</guid><description>Spec-driven delivery works in the pilot. Rolled out to twenty teams, gates get bypassed, reviews thin out and the dashboards stay green. How to keep it honest.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><category>engineering leadership</category><category>spec-driven</category><category>code review</category><category>process</category></item><item><title>Your AI use-case list has thirty items and no owner</title><link>https://predictes.com/blog/ai-use-case-list-with-no-owner</link><guid isPermaLink="true">https://predictes.com/blog/ai-use-case-list-with-no-owner</guid><description>Long use-case lists feel like progress and function as a way of avoiding a decision. What replaces them is shorter, harder to write and actually gets built.</description><pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate><category>AI strategy</category><category>prioritisation</category><category>use cases</category><category>decision making</category></item><item><title>In an AI design proposal, read the prototype plan first</title><link>https://predictes.com/blog/in-an-ai-design-proposal-read-the-prototype-plan-first</link><guid isPermaLink="true">https://predictes.com/blog/in-an-ai-design-proposal-read-the-prototype-plan-first</guid><description>Design proposals for AI products usually look like any other. A few details show whether the author has ever designed for a system that is sometimes wrong.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate><category>vendor selection</category><category>product design</category><category>prototyping</category><category>AI interfaces</category></item><item><title>Adoption is a budget line, not a hope</title><link>https://predictes.com/blog/adoption-is-a-budget-line</link><guid isPermaLink="true">https://predictes.com/blog/adoption-is-a-budget-line</guid><description>Every transformation plan has a technology budget and an adoption paragraph. That imbalance predicts the outcome more reliably than anything about the technology.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate><category>change management</category><category>adoption</category><category>programmes</category><category>budgeting</category></item><item><title>The data decisions an engineer should not make for you</title><link>https://predictes.com/blog/data-decisions-an-engineer-should-not-make-for-you</link><guid isPermaLink="true">https://predictes.com/blog/data-decisions-an-engineer-should-not-make-for-you</guid><description>AI data work often stalls on business decisions rather than on technology. Which decisions those are, how much time they take, and what happens when nobody makes them.</description><pubDate>Tue, 25 Aug 2026 00:00:00 GMT</pubDate><category>data quality</category><category>data ownership</category><category>personal data</category><category>documents</category></item><item><title>Ask an agent supplier for the decision log, not the demo</title><link>https://predictes.com/blog/ask-an-agent-supplier-for-the-decision-log-not-the-demo</link><guid isPermaLink="true">https://predictes.com/blog/ask-an-agent-supplier-for-the-decision-log-not-the-demo</guid><description>A demonstration shows an agent on its best day. The questions that separate a production supplier from a demo supplier are about bad days, logs and limits.</description><pubDate>Sat, 22 Aug 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>supplier selection</category><category>procurement</category><category>decision logs</category></item><item><title>An agent is only as safe as the tools you gave it</title><link>https://predictes.com/blog/an-agent-is-as-safe-as-its-tools</link><guid isPermaLink="true">https://predictes.com/blog/an-agent-is-as-safe-as-its-tools</guid><description>Most attempts to make agents safe happen in the prompt. Almost all of the real safety comes from the tool layer, which is an engineering decision.</description><pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>security</category><category>tool design</category><category>prompt injection</category></item><item><title>An AI business case should be argued with, not admired</title><link>https://predictes.com/blog/an-ai-business-case-should-be-argued-with</link><guid isPermaLink="true">https://predictes.com/blog/an-ai-business-case-should-be-argued-with</guid><description>AI business cases fail less often because the number is wrong than because nobody can see what the number rests on. Write the assumptions down first.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate><category>business case</category><category>AI strategy</category><category>costs</category><category>measurement</category></item><item><title>Design for the review, not for the answer</title><link>https://predictes.com/blog/design-for-the-review-not-the-answer</link><guid isPermaLink="true">https://predictes.com/blog/design-for-the-review-not-the-answer</guid><description>The metric that decides whether an AI feature saves anybody time is not accuracy. It is how long it takes a person to confirm or correct what it produced.</description><pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate><category>UX</category><category>AI interfaces</category><category>review</category><category>trust</category></item><item><title>On an AI product team, the domain expert is not a stakeholder</title><link>https://predictes.com/blog/on-an-ai-product-team-the-domain-expert-is-not-a-stakeholder</link><guid isPermaLink="true">https://predictes.com/blog/on-an-ai-product-team-the-domain-expert-is-not-a-stakeholder</guid><description>Software teams consult the people who know the work. AI product teams need them inside, with time set aside, because the product is measured against their judgement.</description><pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate><category>team design</category><category>domain experts</category><category>operating model</category><category>product management</category></item><item><title>A pilot with one crew is a specification, not a demonstration</title><link>https://predictes.com/blog/a-pilot-with-one-crew-is-a-specification</link><guid isPermaLink="true">https://predictes.com/blog/a-pilot-with-one-crew-is-a-specification</guid><description>Field pilots are often run to prove that a system works. The useful ones are run to find out how it fails, and they need a different crew, scope and exit criteria.</description><pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate><category>field deployment</category><category>pilots</category><category>rollout</category><category>adoption</category></item><item><title>Retry the model, never the payment</title><link>https://predictes.com/blog/retry-the-model-never-the-payment</link><guid isPermaLink="true">https://predictes.com/blog/retry-the-model-never-the-payment</guid><description>Pipelines that mix models with ordinary systems retry constantly. Unless every step that changes state is idempotent and recorded, a retry becomes a duplicate.</description><pubDate>Sat, 08 Aug 2026 00:00:00 GMT</pubDate><category>idempotency</category><category>retries</category><category>audit trail</category><category>orchestration</category></item><item><title>Build the evaluation harness before the feature</title><link>https://predictes.com/blog/build-the-evaluation-harness-first</link><guid isPermaLink="true">https://predictes.com/blog/build-the-evaluation-harness-first</guid><description>Without a way to score changes, an AI codebase gets slower every month. Teams feel it around month three and usually blame the wrong thing.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>evaluation</category><category>testing</category><category>LLM</category><category>regression</category></item><item><title>An SLA for an AI system: what can be promised and what cannot</title><link>https://predictes.com/blog/an-sla-for-an-ai-system-what-can-be-promised</link><guid isPermaLink="true">https://predictes.com/blog/an-sla-for-an-ai-system-what-can-be-promised</guid><description>A conventional SLA measures uptime, and an AI system rarely goes down. What belongs in a contract for running one, and which promises should worry you.</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><category>SLA</category><category>contracts</category><category>operations</category><category>procurement</category></item><item><title>An agent sandbox is mostly about what can leave it</title><link>https://predictes.com/blog/an-agent-sandbox-is-mostly-about-what-can-leave-it</link><guid isPermaLink="true">https://predictes.com/blog/an-agent-sandbox-is-mostly-about-what-can-leave-it</guid><description>Once an agent writes and runs code, typed tools no longer bound it; the environment does. Isolating the process is the easy half. The rest is what can leave.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>sandboxing</category><category>egress control</category><category>isolation</category></item><item><title>Night-shift knowledge belongs on the risk register</title><link>https://predictes.com/blog/night-shift-knowledge-belongs-on-the-risk-register</link><guid isPermaLink="true">https://predictes.com/blog/night-shift-knowledge-belongs-on-the-risk-register</guid><description>In many plants the judgement that keeps production running sits with a few experienced people. Capturing it pays off whether or not the lights ever go out.</description><pubDate>Sun, 02 Aug 2026 00:00:00 GMT</pubDate><category>dark factory</category><category>tacit knowledge</category><category>risk</category><category>succession</category></item><item><title>Your board does not need a prompting course</title><link>https://predictes.com/blog/your-board-does-not-need-a-prompting-course</link><guid isPermaLink="true">https://predictes.com/blog/your-board-does-not-need-a-prompting-course</guid><description>Executives rarely need to use AI tools better. They need to judge proposals, costs and risks well enough to decide, and that calls for a different half-day.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><category>executives</category><category>training</category><category>proposal review</category><category>risk</category></item><item><title>Most retrieval failures are definition failures</title><link>https://predictes.com/blog/most-retrieval-failures-are-definition-failures</link><guid isPermaLink="true">https://predictes.com/blog/most-retrieval-failures-are-definition-failures</guid><description>When search returns something technically related and practically wrong, the usual response is to tune the retriever. The usual cause is elsewhere.</description><pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate><category>ontology</category><category>retrieval</category><category>master data</category><category>definitions</category></item><item><title>A release is the code, the prompt, the model and the index</title><link>https://predictes.com/blog/a-release-is-the-code-the-prompt-the-model-and-the-index</link><guid isPermaLink="true">https://predictes.com/blog/a-release-is-the-code-the-prompt-the-model-and-the-index</guid><description>In an AI system, behaviour changes when the prompt, the model version or the retrieval index changes. Release and rollback have to treat them as one versioned unit.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><category>release management</category><category>rollback</category><category>LLM</category><category>deployment</category></item><item><title>The answer was not wrong. The document was three months old</title><link>https://predictes.com/blog/the-answer-was-wrong-because-the-document-was-old</link><guid isPermaLink="true">https://predictes.com/blog/the-answer-was-wrong-because-the-document-was-old</guid><description>Freshness is the quietest failure in an AI system. Nothing errors, nothing alerts, and the answers are perfectly consistent with a version of reality that has moved on.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><category>data quality</category><category>freshness</category><category>pipelines</category><category>monitoring</category></item><item><title>The AI feature nobody dares to change</title><link>https://predictes.com/blog/the-ai-feature-nobody-dares-to-change</link><guid isPermaLink="true">https://predictes.com/blog/the-ai-feature-nobody-dares-to-change</guid><description>A live AI feature with unmeasured quality becomes a liability the day its model is retired or its bill grows. What taking it over involves, and what to expect from it.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate><category>legacy systems</category><category>evaluation</category><category>model migration</category><category>risk</category></item><item><title>The AI policy people actually follow</title><link>https://predictes.com/blog/the-ai-policy-people-actually-follow</link><guid isPermaLink="true">https://predictes.com/blog/the-ai-policy-people-actually-follow</guid><description>Most AI policies are written to satisfy a risk register and are ignored within a month. The version that works is shorter, more permissive and considerably more useful.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate><category>AI policy</category><category>governance</category><category>training</category><category>shadow AI</category></item><item><title>An ontology needs a decision-maker more than a modeller</title><link>https://predictes.com/blog/an-ontology-needs-a-decision-maker-more-than-a-modeller</link><guid isPermaLink="true">https://predictes.com/blog/an-ontology-needs-a-decision-maker-more-than-a-modeller</guid><description>Interviews, modelling and implementation can be bought. Deciding which definition of customer each system means cannot, and that is the real cost of the project.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate><category>ontology</category><category>definitions</category><category>data governance</category><category>decision making</category></item><item><title>Spec-driven development does not buy a smaller team</title><link>https://predictes.com/blog/spec-driven-development-does-not-buy-a-smaller-team</link><guid isPermaLink="true">https://predictes.com/blog/spec-driven-development-does-not-buy-a-smaller-team</guid><description>The budget case for agent-written code is often a headcount case. What actually changes is where engineering time goes, and which skills become scarce.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate><category>spec-driven</category><category>engineering teams</category><category>business case</category><category>accountability</category></item><item><title>The system went live. Nobody changed who does what</title><link>https://predictes.com/blog/the-system-went-live-nobody-changed-who-does-what</link><guid isPermaLink="true">https://predictes.com/blog/the-system-went-live-nobody-changed-who-does-what</guid><description>An AI system changes the work around it: who checks, who takes the exceptions, who decides. If nobody redesigns that, the old process carries on beside it.</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate><category>operating model</category><category>roles</category><category>governance</category><category>change management</category></item><item><title>AI systems do not crash. They drift</title><link>https://predictes.com/blog/ai-systems-do-not-crash-they-drift</link><guid isPermaLink="true">https://predictes.com/blog/ai-systems-do-not-crash-they-drift</guid><description>Conventional monitoring watches for things that stop. The failure mode that matters here produces no error, no alert and perfectly formatted answers that are quietly worse.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><category>monitoring</category><category>drift</category><category>SLA</category><category>operations</category></item><item><title>Cost per task and response time are product decisions</title><link>https://predictes.com/blog/cost-per-task-and-response-time-are-product-decisions</link><guid isPermaLink="true">https://predictes.com/blog/cost-per-task-and-response-time-are-product-decisions</guid><description>Model choice, retrieval depth and extra checks each buy quality with money and seconds. Left to engineering, those trades still get made, just never on purpose.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><category>unit economics</category><category>latency</category><category>product management</category><category>LLM</category></item><item><title>Where the automation stops, somebody has to start</title><link>https://predictes.com/blog/where-the-automation-stops-somebody-has-to-start</link><guid isPermaLink="true">https://predictes.com/blog/where-the-automation-stops-somebody-has-to-start</guid><description>In an automated process the exception path decides the result: what reaches a person, who that is when nobody is on shift, and how the decision gets back in.</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate><category>exceptions</category><category>hand-off</category><category>hyperautomation</category><category>unattended operation</category></item><item><title>Go and watch a shift before you write a line of code</title><link>https://predictes.com/blog/go-and-watch-a-shift-first</link><guid isPermaLink="true">https://predictes.com/blog/go-and-watch-a-shift-first</guid><description>Field systems are rejected for reasons that never appear in a requirements document, and every one of them is visible within two hours of standing where the work happens.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>field deployment</category><category>requirements</category><category>adoption</category><category>operations</category></item><item><title>Your design team and its first AI product</title><link>https://predictes.com/blog/your-design-team-and-its-first-ai-product</link><guid isPermaLink="true">https://predictes.com/blog/your-design-team-and-its-first-ai-product</guid><description>An in-house design team knows your users and product. What it usually lacks is a language for software that is sometimes wrong, and that is quicker to add than to hire.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><category>design teams</category><category>AI interfaces</category><category>knowledge transfer</category><category>trust</category></item><item><title>Third-party connectors are your agent&apos;s supply chain</title><link>https://predictes.com/blog/third-party-connectors-are-your-agents-supply-chain</link><guid isPermaLink="true">https://predictes.com/blog/third-party-connectors-are-your-agents-supply-chain</guid><description>A ready-made connector brings code that runs with your credentials and tool descriptions your model reads as instructions. It deserves dependency discipline.</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>connectors</category><category>supply chain</category><category>MCP</category></item><item><title>What to ask a data engineering provider before you sign</title><link>https://predictes.com/blog/what-to-ask-a-data-engineering-provider</link><guid isPermaLink="true">https://predictes.com/blog/what-to-ask-a-data-engineering-provider</guid><description>Proposals for AI data work look alike until the first month. The questions that tell you, before signing, whether a provider builds trust in your data or a platform.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate><category>vendor selection</category><category>data quality</category><category>procurement</category></item><item><title>When agents write the code, review becomes the bottleneck</title><link>https://predictes.com/blog/when-agents-write-the-code-review-is-the-bottleneck</link><guid isPermaLink="true">https://predictes.com/blog/when-agents-write-the-code-review-is-the-bottleneck</guid><description>Generation got ten times faster and review did not. Teams that measure only the first half accumulate under-reviewed code, and the debt arrives all at once.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate><category>AI coding</category><category>code review</category><category>spec-driven</category><category>engineering practice</category></item><item><title>Delivery metrics that lie once agents write the code</title><link>https://predictes.com/blog/delivery-metrics-that-lie-once-agents-write-the-code</link><guid isPermaLink="true">https://predictes.com/blog/delivery-metrics-that-lie-once-agents-write-the-code</guid><description>Pull requests, velocity and lines of code all rise when agents write the code. None of them says whether delivery improved. A few measures still do.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate><category>metrics</category><category>DORA</category><category>AI coding</category><category>engineering leadership</category></item><item><title>An agent&apos;s business case is a cost per task, not an autonomy rate</title><link>https://predictes.com/blog/an-agents-business-case-is-a-cost-per-task-not-an-autonomy-rate</link><guid isPermaLink="true">https://predictes.com/blog/an-agents-business-case-is-a-cost-per-task-not-an-autonomy-rate</guid><description>Agent proposals tend to promise a share of work done without people. The number that decides the investment is the full cost of a finished task, people included.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>business case</category><category>costs</category><category>approvals</category></item><item><title>How to tell a useful AI strategy proposal from a sales document</title><link>https://predictes.com/blog/ai-strategy-proposal-or-sales-document</link><guid isPermaLink="true">https://predictes.com/blog/ai-strategy-proposal-or-sales-document</guid><description>Strategy proposals look alike on paper. A handful of questions about pricing, interviews and what the provider sells next separate the useful ones.</description><pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate><category>AI strategy</category><category>supplier selection</category><category>proposals</category><category>procurement</category></item><item><title>The night shift knows things nobody wrote down</title><link>https://predictes.com/blog/the-night-shift-knows-things-nobody-wrote-down</link><guid isPermaLink="true">https://predictes.com/blog/the-night-shift-knows-things-nobody-wrote-down</guid><description>Unattended production is rarely blocked by robotics. It is blocked by the judgement three experienced people carry, which exists nowhere a system can read.</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate><category>dark factory</category><category>tacit knowledge</category><category>context</category><category>unattended operation</category></item><item><title>Has your AI provider ever stood on a shop floor?</title><link>https://predictes.com/blog/has-your-ai-provider-ever-stood-on-a-shop-floor</link><guid isPermaLink="true">https://predictes.com/blog/has-your-ai-provider-ever-stood-on-a-shop-floor</guid><description>Field AI projects fail on connectivity, gloves and devices nobody manages. A handful of questions in the first meeting shows whether a provider knows that.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><category>field deployment</category><category>vendor selection</category><category>offline-first</category><category>operations</category></item><item><title>Who runs your AI system the day after go-live?</title><link>https://predictes.com/blog/who-runs-your-ai-system-the-day-after-go-live</link><guid isPermaLink="true">https://predictes.com/blog/who-runs-your-ai-system-the-day-after-go-live</guid><description>The project budget ends at go-live, which is exactly when the cost and the risk begin. How to decide who should run an AI system, and what each option asks of you.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>operations</category><category>handover</category><category>ownership</category></item><item><title>The business case for unattended hours is written in stoppages</title><link>https://predictes.com/blog/the-business-case-for-unattended-hours-is-written-in-stoppages</link><guid isPermaLink="true">https://predictes.com/blog/the-business-case-for-unattended-hours-is-written-in-stoppages</guid><description>Lights-out cases are usually built on machine capacity times hours. What decides the return is how often the operation halts with nobody there to restart it.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>dark factory</category><category>business case</category><category>unattended operation</category><category>exceptions</category></item><item><title>How to buy AI training that changes something</title><link>https://predictes.com/blog/how-to-buy-ai-training-that-changes-something</link><guid isPermaLink="true">https://predictes.com/blog/how-to-buy-ai-training-that-changes-something</guid><description>Most AI training is judged by how much people enjoyed it. The questions worth asking a provider are about what exists the week after the session.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><category>training</category><category>workshops</category><category>procurement</category><category>capability</category></item><item><title>An AI roadmap should promise quality bars, not features</title><link>https://predictes.com/blog/an-ai-roadmap-should-promise-quality-bars-not-features</link><guid isPermaLink="true">https://predictes.com/blog/an-ai-roadmap-should-promise-quality-bars-not-features</guid><description>Feature roadmaps mislead in AI products, because every feature exists by week two. What is uncertain, and worth planning around, is when it becomes good enough.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>roadmaps</category><category>product management</category><category>evaluation</category><category>definition of done</category></item><item><title>A model that clicks is still a screen scraper</title><link>https://predictes.com/blog/a-model-that-clicks-is-still-a-screen-scraper</link><guid isPermaLink="true">https://predictes.com/blog/a-model-that-clicks-is-still-a-screen-scraper</guid><description>RPA bots break because they are bound to screens and templates. A model fixes the reading; driving the same screens with it keeps the brittle half and makes it quiet.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><category>RPA</category><category>integration</category><category>hyperautomation</category><category>documents</category></item><item><title>Whose credentials is your agent using?</title><link>https://predictes.com/blog/whose-credentials-is-your-agent-using</link><guid isPermaLink="true">https://predictes.com/blog/whose-credentials-is-your-agent-using</guid><description>Most agents run on a person&apos;s token or a shared service account. Both leave the agent&apos;s reach undesigned and make the access log say something untrue.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>identity</category><category>least privilege</category><category>access management</category></item><item><title>The demo is the cheap part. How to budget for the rest</title><link>https://predictes.com/blog/the-demo-is-the-cheap-part</link><guid isPermaLink="true">https://predictes.com/blog/the-demo-is-the-cheap-part</guid><description>An AI prototype is quick to build and slow to finish. What the remaining work consists of, how to fund it in stages, and what to ask before the budget is approved.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><category>prototypes</category><category>production</category><category>budgeting</category><category>AI applications</category></item><item><title>To a coding agent, CI is a target, not a check</title><link>https://predictes.com/blog/to-a-coding-agent-ci-is-a-target-not-a-check</link><guid isPermaLink="true">https://predictes.com/blog/to-a-coding-agent-ci-is-a-target-not-a-check</guid><description>An agent iterates until the pipeline turns green and finds the shortest way there. CI gates for generated changes have to be designed with that in mind.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><category>CI</category><category>AI coding</category><category>testing</category><category>spec-driven</category></item><item><title>When you need an ontology, and when it is just overhead</title><link>https://predictes.com/blog/when-you-need-an-ontology-and-when-it-is-overhead</link><guid isPermaLink="true">https://predictes.com/blog/when-you-need-an-ontology-and-when-it-is-overhead</guid><description>An ontology can be the most load-bearing part of an AI programme, or pure overhead. The signals that tell you which, before anybody draws a diagram.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>ontology</category><category>master data</category><category>system consolidation</category></item><item><title>Before funding spec-driven development, sort your backlog</title><link>https://predictes.com/blog/before-funding-spec-driven-development-sort-your-backlog</link><guid isPermaLink="true">https://predictes.com/blog/before-funding-spec-driven-development-sort-your-backlog</guid><description>Spec-driven development makes some work much cheaper and some work slower. Which of the two dominates your backlog decides the business case.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><category>spec-driven</category><category>AI coding</category><category>business case</category><category>backlog</category></item><item><title>The most valuable decision in a transformation is what to stop</title><link>https://predictes.com/blog/the-most-valuable-decision-is-what-to-stop</link><guid isPermaLink="true">https://predictes.com/blog/the-most-valuable-decision-is-what-to-stop</guid><description>AI programmes rarely fail on the build. They fail because they share six people with four other programmes, and nobody decided which ones would wait.</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>transformation</category><category>portfolio</category><category>change capacity</category><category>prioritisation</category></item><item><title>The AI feature works. Nobody uses it</title><link>https://predictes.com/blog/the-ai-feature-works-nobody-uses-it</link><guid isPermaLink="true">https://predictes.com/blog/the-ai-feature-works-nobody-uses-it</guid><description>When an AI feature is technically sound and usage is flat, the instinct is to buy a better model. The problem is usually the interaction, and it is cheaper to fix.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><category>adoption</category><category>AI interfaces</category><category>trust</category><category>product design</category></item><item><title>Data work gets funded for answers, not for platforms</title><link>https://predictes.com/blog/data-work-gets-funded-for-answers-not-platforms</link><guid isPermaLink="true">https://predictes.com/blog/data-work-gets-funded-for-answers-not-platforms</guid><description>A request for a data platform loses to every other line in the budget. A request to stop one AI system from being wrong usually wins, if it is costed honestly.</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate><category>business case</category><category>data quality</category><category>budgeting</category></item><item><title>In an AI product, feasibility belongs in discovery</title><link>https://predictes.com/blog/in-an-ai-product-feasibility-belongs-in-discovery</link><guid isPermaLink="true">https://predictes.com/blog/in-an-ai-product-feasibility-belongs-in-discovery</guid><description>Classic product discovery asks whether people want something and assumes it can be built. With AI, whether it works well enough on your data is the open question.</description><pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate><category>product discovery</category><category>product management</category><category>prototyping</category><category>feasibility</category></item><item><title>Your first agent should do the boring job</title><link>https://predictes.com/blog/your-first-agent-should-do-the-boring-job</link><guid isPermaLink="true">https://predictes.com/blog/your-first-agent-should-do-the-boring-job</guid><description>The first agent most companies want is the impressive one. The one that reaches production is narrow, frequent, checkable and dull, and it earns the right to grow.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>use cases</category><category>prioritisation</category><category>business case</category></item><item><title>Before you buy an AI strategy, check which problem you have</title><link>https://predictes.com/blog/before-you-buy-an-ai-strategy</link><guid isPermaLink="true">https://predictes.com/blog/before-you-buy-an-ai-strategy</guid><description>An AI strategy solves one kind of problem well and three others badly. Which one you have decides whether to buy it, and what it should cost you.</description><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate><category>AI strategy</category><category>procurement</category><category>change capacity</category><category>decision making</category></item><item><title>The model proposes, the code decides</title><link>https://predictes.com/blog/the-model-proposes-the-code-decides</link><guid isPermaLink="true">https://predictes.com/blog/the-model-proposes-the-code-decides</guid><description>Hyperautomation works when each step goes to the right worker: the model reads and drafts, deterministic code checks and commits, and people take what is left.</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate><category>hyperautomation</category><category>validation</category><category>process design</category><category>AI agents</category></item><item><title>Everything your agent reads can give it orders</title><link>https://predictes.com/blog/everything-your-agent-reads-can-give-it-orders</link><guid isPermaLink="true">https://predictes.com/blog/everything-your-agent-reads-can-give-it-orders</guid><description>Prompt injection rarely arrives through the chat box. It arrives in the email, ticket or web page the agent was asked to read, and the defence is structural.</description><pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate><category>AI agents</category><category>prompt injection</category><category>data exfiltration</category><category>architecture</category></item><item><title>If the spec is the source of truth, it needs a lifecycle</title><link>https://predictes.com/blog/if-the-spec-is-the-source-of-truth-it-needs-a-lifecycle</link><guid isPermaLink="true">https://predictes.com/blog/if-the-spec-is-the-source-of-truth-it-needs-a-lifecycle</guid><description>Within a quarter the code and the specs disagree. A specification stays the source of truth only if every change, hotfixes included, goes through it first.</description><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate><category>spec-driven</category><category>specifications</category><category>AI coding</category><category>engineering practice</category></item></channel></rss>