AI adoption strategy
What first, how far
What to change first, how far to go.
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
Scanning
What we do
We decide what to change first and how far to hand it to AI.
Security · governance
What leaves the building, first
Free through the report
First call · flow assessment · report
“No build needed” is a valid answer
Sometimes training is enough
Scan
Scroll and each step gets its verdict
Which steps AI runs, which people keep.
Scanning
Assessment first
The assessment decides how far to go
Four paths
- 01
Digital first
Paper, spreadsheets, manual
- 02
+ AI adoption
Data exists, people do all the judging
- 03
+ AI training
Tools bought but unused
- 04
+ Managed ops
Needs tuning after launch
The report
The assessment report
Flow map · priorities · roadmap, in one document.
AX assessment report
Workflow — example: export paperwork
- Register offer
- Quote
- Cross-check
- Invoice · packing list
- Approve · send
AISteps the AI takes overPersonSteps a person keeps
Phased rollout plan
- 01Assess · scope
- 02Design · quote
- 03One pilot
- 04Expand
- 05Adopt · train
- 06Operate · improve
Automation candidates, ranked
| 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 |
Where adoption stalls
Nine places AI adoption stalls
We fill this in for your company during consulting.
No usage record
Full logging
Data leakage
Input screening
Personal accounts
One company gateway
No cost control
Per-team caps
Rogue agent access
Allow-list control
Wrong answers
Evidence check
Policy violations
Output screening
Vendor lock-in · outages
Model routing
Bought, then abandoned
Usage monitoring · training
Security and governance
So review does not stop you
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.
Contract forms
Three ways to contract
Per project
Fixed scope · staged payments
Monthly retainer
Dedicated team · build and run
Assessment or training only
No build
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.