Scale
The number moved and the workflow held. Extend it to the rest of the function.
Start with one workflow and the people who run it. We map the real work, agree the controls and build a measured pilot before deciding what deserves to scale.
One accountable team. A measured baseline. A documented decision at day 90.

Choose a phase to see the work, a sample deliverable and the approval needed to move forward.
We sit with the people doing the job, follow the real handovers and find the exceptions. Together, we choose one workflow worth improving.
Channel, context and source record
Rules, judgement and missing information
Next action and accountable owner
Agree the opportunity and baseline before committing to a build.
Discovery authorises a decision. Design requires a signed boundary. Production access and wider rollout need their own approvals; completing one phase never silently authorises the next.
Each phase has defined work and tangible outputs. Open a phase for the detailed scope; timing and dependencies are agreed in your project plan.
You leave with a roadmap you could hand to any vendor. If nothing here clears the bar, we say so in writing and you owe us nothing further.
Nothing gets built until the boundary matrix is signed. If your process owner will not sign it, the process is not ready and we say so.
At day 90 there are four honest outcomes: scale it, pause it, redesign it, or stop. Stop is a real option and we will recommend it if the number did not move.
You own the outputs, documentation and configuration. We do not hold deliverables hostage; continued operation depends on the third-party accounts, licences, hosting and source systems named in the project documents.
Model and telephony costs are passed through at cost, on your accounts where possible. We do not mark up inference.
Before the build, we agree the measure, its baseline and the threshold for success. The review ends in a written recommendation your team can act on.
The number moved and the workflow held. Extend it to the rest of the function.
It works, but something upstream — data, a system, a team change — has to land first.
The approach was wrong but the opportunity is real. We rebuild it once, at our cost.
The number did not move. We say so, we write down why, and you stop spending on it.

There is no need to arrive with an AI specification. The most useful starting point is a repeated task and someone who knows how it really runs.