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AI adoption consultant for SMEs.

Turn one messy workflow into a governed 30-day AI pilot your team can keep or kill with evidence.

NAMED REVIEWER
APPROVED SOURCES
REVIEW TRAIL
PILOT MEASURED
30 days
first pilot plan
M365
controls included
1 reviewer
human approval

What you get in the first 30 days.

The first month should produce a decision, not theatre: choose one real workflow, map the source data and approval path, run a controlled pilot, then keep or kill it with evidence.

Workflow shortlist

Two or three live tasks scored by volume, risk, owner and decision value.

Risk and value check

Data handled, customer/staff/money impact, reviewer and failure mode checked before build.

Control baseline

Approved sources, blocked data, reviewer, escalation route and evidence to save.

Pilot brief

One use case, one source set, one reviewer, success metric and rollback/kill condition.

Next decision

Go, pause, clean tenant/data first, or reject the use case.

Proof works better when it looks like delivery.

Sector

Manufacturing and technology

Problem
Endpoint compliance was visible but not trusted. Devices, policy scope and Defender ownership did not line up cleanly.
Outputs
Endpoint remediation tracker, Policy decision log, Defender ownership notes
Outcome
The team left with clearer compliance signals, fewer unexplained exceptions and a repeatable internal review rhythm.

Sector

Professional services

Problem
Cyber Essentials Plus evidence was spread across portals, screenshots and supplier notes with no clear assessment story.
Outputs
Evidence pack index, Assessment risk register, Remediation notes
Outcome
Assessment preparation moved from scattered proof to a clear pack with named evidence owners and remaining risks.

Sector

Regulated SME

Problem
Conditional Access, admin roles and guest access had grown around urgency instead of a documented access model.
Outputs
Conditional Access policy map, Exception register, Privileged access review notes
Outcome
Identity controls became explainable, staged and owned instead of a pile of legacy exceptions.

FAQ

The questions teams ask before the first call.

The AI Rollout Diagnostic compares a few candidate workflows, checks the risk, and recommends one controlled pilot.

Day rate or fixed price for a defined scope. I will share an indicative price within a working day of the first call, alongside a rough plan.

You deal directly with me: the same person who scopes the work, changes the settings, writes the notes and answers for the result.

That is why the IT lane stays visible. Identity, device trust, DLP, SharePoint, Teams and audit controls support safer AI rollout.

Yes, if the pilot is narrow: approved sources, blocked data, human approval, saved review notes and a named reviewer.

Send the workflow you want to fix.

Send the department, current AI usage, workflow pain, source data and reviewer. I will reply with the likely route and whether it fits a scoped engagement.

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