It worked in the office. The site has no signal, and the operator is wearing gloves
Field deployment is where AI projects meet reality: patchy connectivity, hardware that has to survive dust and temperature, devices used one-handed, and people who will abandon anything that takes longer than the old way. The engineering is different, and so is the definition of done.
- Something that works where the work is. On the floor, in the cab or on site, in the conditions that actually exist rather than the ones assumed.
- Offline tolerance. Degrading sensibly without a connection and reconciling cleanly when one returns, because intermittent is the normal state and not the exception.
- Interfaces for the environment. Usable with gloves, in glare, one-handed, in noise. Adoption is decided here more often than by the model.
- A supportable estate. Devices enrolled, updatable, monitorable and replaceable without a visit for every fault.
What is delivered
Site assessment
Connectivity, power, mounting, lighting, noise, temperature and who actually holds the device. Done on site, because none of this survives being assumed from a meeting room.
Edge and cloud split
What runs on the device, what runs centrally and what happens when the link is gone. The decision that determines whether the system is usable at all.
Offline-first data flow
Local queueing, conflict handling and reconciliation, so a shift can complete without a connection and nothing is silently lost when it returns.
Field interface
Large targets, high contrast, minimal typing, voice or scan where hands are busy, and an obvious state so nobody wonders whether it saved.
Device management
Enrolment, updates, remote wipe and health monitoring. An estate of unmanaged devices becomes unsupportable within a year.
Pilot and rollout plan
One crew or one line first, with the failures collected, before anything is rolled out to everybody.
How it runs
- 01
Go and look
A shift on site with the people who will use it. Every field project that skipped this rediscovers why it should not have.
- 02
Prototype in the environment
Tested in the actual conditions, not on a desk. Glare, gloves and dropped connections are requirements, not edge cases.
- 03
Pilot with one crew
Small, watched closely, with a route back. The complaints from this group are the specification for the rollout.
- 04
Roll out and support
Staged, with device management and a support path that does not require a site visit for every fault.
A good fit when
- The work happens away from a desk: production, logistics, service, construction, utilities, agriculture.
- An office-built system has been rejected by the people who were supposed to use it.
- Connectivity is unreliable and the current answer is paper.
- Inference has to happen locally for latency, cost or data reasons.
Not the right service when
- Everything is in an office with reliable connectivity. Then this is ordinary application engineering.
- You need certified safety-critical or explosion-proof equipment. That is a specialist supplier and we will say so rather than take the work.
- The process itself is undefined. In the field this is worse than in an office, because there is no time to work it out during a shift.
Frequently asked questions
Which hardware do you use?
Can models run on the device?
What about safety-critical systems?
How do you handle patchy connectivity?
How long does a first deployment take?
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