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Research report
AI Does Not Remove the Bottleneck
Find your real workflow constraints before buying AI tools.
Around 95% of organisations report no measurable P&L impact from their GenAI pilots. Five phases, each ending at an evaluation gate, exist to keep you out of that number.
Source: MIT NANDA, State of AI in Business, 2025
Clients we've worked with
Each ends with something you own, whether or not you continue with us.
1 to 2 weeks
The business outcome, the metric, and who owns the decision it supports.
You getA scoped problem statement and a success metric
1 to 2 weeks
Data readiness, permissions and the honest gap between them and the goal.
You getA data readiness report and a risk register
1 to 2 weeks
System design, model strategy and the evaluation approach.
You getArchitecture decision records and an evaluation plan
4 to 8 weeks, depending on scope
Implementation scored against the evaluation set at every change.
You getA working system with a full evaluation history
1 to 2 weeks to release, then an ongoing optimisation window
Production release, monitoring and the handover to your team.
You getA deployed system, monitoring and trained operators
AI systems in production, each with the number it moved and how that was measured.
Frame the business problem and the number it moves. Prove feasibility on your real data. Build the system around the model. Harden it for production — monitoring, failure paths, permissions. Then hand it over with the documentation and training your team needs to run it. Each ends with evidence before the next is funded.
We stop and tell you why, which is the gate doing its job. Sometimes the fix is more data or a different approach and the phase repeats; sometimes the honest finding is that the problem is not worth solving this way. Discovering that in phase two costs a fraction of discovering it in production.
Define and Audit typically run one to two weeks each. Architect runs one to two weeks. Build and evaluate is the longest at four to eight weeks depending on scope. Deploy and optimise runs one to two weeks to release, then continues as an optimisation window. We commit to your timeline after the Audit, because before it any number is a guess.
Yes, and some clients should. Framing produces the problem definition, the success measure and an honest read on feasibility, which is genuinely useful even if nothing else follows. Each phase is scoped so that stopping is a clean decision you can take at the end of it.
No, though the gates are the part we hold to. If you arrive with the problem already framed we start at feasibility; if you have a working prototype we start at production hardening. What we will not skip is agreeing what good looks like before building, because everything after that depends on it.
Then the work is the eighty per cent around it — evaluation you can trust, permissions, failure handling, monitoring and the interface people actually use. A model that performs well in a notebook and has none of that is the most common thing we are asked to rescue.
Every phase ends with evidence, so a decision to continue is made on what happened rather than on what was promised.
Products delivered
Years in business
Countries reached
Team members