AI adoption consulting
AI adoption consulting — Decide what to hand to AI first
We map the work and decide which steps AI runs and which people keep.
- Format
- On-site assessment · interviews
- You receive
- Assessment report · roadmap
- Cost
- Free through the report
What we do
What consulting covers
Workflow diagnosis
We meet the people doing the work, lay it out step by step and separate the steps AI takes from the steps people keep.
Priorities and adoption plan
Candidate tasks are ranked by impact and difficulty, and we plan what to adopt first and in what order.
Security and internal review
We document which data leaves and how far, and prepare the papers your review committee needs.
Free up to the diagnosis report
No cost from the first call to the report. If you don't need a build, we say so.
The report
The assessment report
Workflow map, priorities and adoption plan in one document
- 01
Workflow map
The work laid out step by step, marking what AI takes and what people keep.
- 02
Automation priorities
Impact, difficulty and a verdict for each candidate task, including what training alone can solve.
- 03
Phased adoption plan
What to do, in what order, from diagnosis to operation, ready for internal review.
| Candidate | Impact | Difficulty | Verdict |
|---|---|---|---|
| Auto-generate export documents | High | Medium | Build first |
| Reconcile supplier settlements | High | Low | Build first |
| Weekly management report draft | Medium | Low | Training is enough |
| Direct ERP screen integration | Medium | High | Review in phase 2 |
Security and governance
Internal security review
We answer first whether internal data may go to an external AI.
Closed network or on-premises
Built without external models, with the import and export steps in the schedule.
Internal review support
We prepare the submission material and the decision criteria.
API and LLM cost
Who pays is in the contract up front.
Data egress boundary
What leaves and what stays, written down.
Verification gate
AI output never goes straight out.
Response history and logs
What happened when stays traceable.
Adopted but not used
It usually comes down to one of three reasons
We find the reason before building anything new — starting from the systems you already run.
It doesn't fit the workflow
Work only finishes outside the system
Workflow redesign
Nobody was shown how
The people trained are not the daily users
User training · in-house guide
People can't trust the results
Every AI result is rechecked from scratch
Verification rules · operations
Where assessments led
What runs today after an assessment
FAQ
Questions about this service
An assessment report: a workflow map showing which steps AI takes and which stay with people, candidate automations ranked by impact and effort, and a phased adoption plan — ready to use for internal review.
Yes. Contracts come in three forms: per project, monthly operations, or assessment/training only. If existing tools or training fit better than development, we recommend that.
What matters is not size but whether work repeats the same way — reading documents and re-typing values, checking several sites and systems, or writing similar answers again and again.
That is where adoption stalls most. We document which data leaves and how far, closed-network or on-premise options, answer logs and retention, and who pays external API/LLM costs — packaged for your review board.
Start by telling us what you do today
You do not need to decide what to build. One task that gets in the way is enough to begin.