Who checks
Every output has a named checker with the expertise to sign it off, and the checks are written down.
Take one agreed workflow, build it with the people who do the work, and leave it running with owners, checks and a way to measure it.
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Construction-services firm · one workflow
Five example runs
Check
The totals are compared with the order. Matches go through. Anything else stops here.
Select a step to see who owns it and what is logged.
For firms ready to put an agreed AI use case into daily use. We can work from your existing plan or help define the first workflow.
From our strategy plan or your own. One process with a clear start and finish that people run every week.
Someone who runs the workflow today and will own the system and its review after we leave.
Approved access to the relevant tools and data, and the people who will use the system.
Time from the people who do the work to try the workflow on real tasks before it goes into use.

Agree the inputs, outputs, access permissions and checks required before the system can be used. Confirm which parts AI handles by default, which an expert verifies and which stay with a person.
Connect the agreed tools and test the workflow with your team, including errors and unusual cases. Sometimes we build it. Sometimes a build partner does. It depends on the work, and we tell you which before we start.
Roll out the agreed workflow, document how to run it and hand it over to its owners. Train the people who run it and the people who check it.
Track who uses it, how often outputs are redone and what happens when AI is wrong. Ongoing support is available by agreement.
A workflow stays in use when the people around it know what is expected of them. We agree these four things with the team before anything goes live.
Every output has a named checker with the expertise to sign it off, and the checks are written down.
Cases the system cannot handle go to a person the same way every time, with the history attached.
People say when AI drafted the work. Nobody has to hide it, so mistakes are found early.
Leaders recognise the people who report what went wrong, not only the people who move fastest.
An implemented workflow within the agreed project scope.
Checks for AI outputs and a route for cases that need a person.
Operating instructions and named owners for the system and its review.
A short set of measures the owner can read each month: use, redo rate and cases sent to a person.
Where we’ve run this
A follow-on build after their roadmap: one document workflow from capture through a check to the CRM, with an exception queue for cases that need a person. Tested to agreed acceptance criteria and handed over with a runbook and ongoing support.
Weekly Claude sessions on live cases. One recommendation process went from three days to about half an hour.
We have advised teams inside global banks and consultancies.
Tell us the process, who owns it today and which tools your team is allowed to use. If you already have a plan, send that too.
Meet the people you could work with ↗