<?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 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>