Workflow opportunity map
Compare frequency, impact, data readiness, variation and consequence of error.
AI strategy consulting
Turn AI ambition into a sequenced business plan
Find high-value AI opportunities, assess business readiness, choose an implementation path and measure outcomes.
Start with work and evidence
We map a small number of real jobs, estimate volume and effort with the people doing them, review information access and systems, and select a testable first opportunity.
What the strategy covers
Build, buy or connect
Select models, clients, integrations, MCP tools and human review based on the job.
Investment and sequence
Separate a first pilot from later data, system and operating-model work.
Outcome measures
Agree how to compare time, rework, response speed or service quality before and after.
A roadmap your team can own
The result is a prioritised plan with an accountable sponsor, pilot scope, dependencies, staff learning, operating controls and next decision. Strategy should lead to a small experiment instead of an open-ended AI programme.
Local intelligence. Ready to build.
Start with the work you want to improve.
Talk through the workflow, desired result and people who need to own it.