A process no product covers
Where the workflow is specific to your industry or organisation and a package would need more configuration than construction.
AI Capabilities & Services
Customized & Tailored AI (pilot → full deployment)
Bespoke AI built for your use case, from proof-of-concept pilot to full production deployment.
The problem
Most AI pilots do not fail — they simply never end. Nobody agreed in advance what result would justify going further, so a promising demonstration becomes a second pilot, then a third, and the budget is spent proving feasibility rather than getting value. The projects that reach production are usually the ones that decided, before the work began, what number would count as success and who would own the answer.
Who this is for
- Transformation and innovation leadsA pilot that produces a decision rather than another pilot
- Business owners with a specific problemSomething built for their process, not a product bent to fit it
- CIOs and technology leadersClarity on ownership, support and what happens when we leave
What people use it for
Combining models into one decision
Vision, text and tabular signals brought together, which is common in claims, inspection and compliance work.
Proving feasibility before committing
A scoped pilot against your real data, with an agreed threshold that decides whether it proceeds.
Taking an internal prototype to production
Where your team built something that works on a laptop and needs to survive real data, real users and being on call.
What it needs to work
- A specific problem with a measurable current cost
- Access to representative data — not a cleaned sample
- A named business owner who can decide, and subject-matter time
- Agreement on the threshold that decides whether the pilot proceeds
How it works
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Frame the problem
What decision or task, at what volume, costing what today. Where AI is not the right answer, this is where we say so.
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Feasibility on your data
A short assessment against real data, because whether it is possible is a data question and cannot be answered from a brief.
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Pilot with a gate
Built, measured against the agreed threshold, and reported honestly — including when it does not clear it.
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Harden for production
Error handling, monitoring, retraining, access control and the operational reality a prototype never meets.
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Deploy and hand over
Into your environment, with your team trained and documentation that assumes we are not available.
How we deliver it
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Discovery
Problem, process, data and the cost of the status quo, with the success threshold written down before anything is built.
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Feasibility
A short, fixed-scope look at whether your data can support it. A negative answer here is the cheapest useful outcome available.
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Pilot
Built against real data with the agreed measure, and a decision at the end rather than a demonstration.
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Production and support
Hardening, deployment, monitoring and a support arrangement that states who is responsible for what.
Where it runs
- Your cloud tenancy, your on-premises estate, or hybrid
- Integrated into the systems your users already work in
- Air-gapped where policy requires it, using open-weight models
Security and governance
- IP and ownership stated in the contract before work starts — you own what we build for you
- Model behaviour documented, including known failure modes
- Human review defined for any decision affecting a person
- Monitoring and a retraining trigger agreed before go-live
Timeline
Feasibility is short and fixed. The pilot is scoped so that it ends in a decision rather than running until the budget does. Production hardening is usually longer than clients expect, because error handling, monitoring and integration are most of the real work — and skipping them is how a successful pilot becomes an unsupportable system.
What you receive
- A written feasibility finding, including when the answer is no
- A pilot measured against the agreed threshold, reported either way
- Production code, in your repository, with tests and documentation
- Monitoring, retraining procedure and a defined support boundary
- Handover to your team, assuming we are not there next quarter
Related work
Published projects where we did this.
What this does not do
We will not run a pilot without an agreed success threshold, because a pilot with no threshold cannot fail and therefore cannot inform a decision. We also will not promise feasibility from a brief — until we have seen representative data, nobody can honestly say whether it will work, and a supplier who says otherwise is guessing on your budget.
Questions we are asked
Who owns the model and the code?
You do, for work built specifically for you, and it is written into the contract before we start. Where a component is our pre-existing product, that is stated separately and licensed rather than quietly bundled.
What if the pilot does not work?
Then it reports that, with what was learned and what would have to change. That is a legitimate result and considerably cheaper than discovering it in production.
Can you work with our internal team?
Preferably. The projects that survive handover are the ones where your engineers built part of it, and the aim is that the system does not need us to stay alive.
About the figures on this page
This page describes capability and method. It does not publish accuracy figures, throughput numbers or delivery dates, because those depend on your data, your systems and your scope — and a number published here would be wrong for most readers. You get them, in writing and against your own data, at scoping.
A first call is a technical conversation, not a pitch: what you have, what you need, and whether this is the right approach at all.
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Every InsAI product runs on the same four-stage backbone.
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Forecasting, detection, optimization
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From the floor to the boardroom
Customized & Tailored AI (pilot → full deployment)
Bespoke AI built for your use case, from proof-of-concept pilot to full production deployment.