AI tools are already being used without a shared operating frame.
AI for SMEs
AI audit for SMEs
Independent review of AI use cases for SMEs: value hypotheses to measure, data questions and practical prioritisation before buying tools or launching experiments.
Decision path
1
Situation shared
Proposal, vendor, budget or technical choice.
2
Independent read
Risks, blind spots, dependencies and options.
3
Clear decision
Continue, correct, reframe or stop.
Risk signals
BudgetExposure
DependencyVendor
ScopeUnclear
ReversibilityTo verify
The objective is not to dramatize the risk, but to make the decision readable.
For whom
Leadership situations where an independent senior view changes the decision.
Use this page to decide which AI use cases deserve investigation, what data and access questions must be framed, and which pilot conditions should be measured before investment.
SME leaders receiving multiple AI ideas without a clear priority.
CFOs connecting AI expenditure to value assumptions that still need testing.
Business teams exploring reporting, document search or customer-service uses.
CTOs or CIOs who want an outside view while retaining technical ownership.
Timing
When to ask for SME AI audit / workshop
A use case sounds useful but available data and recipients are unclear.
Human approval, error handling or action rights have not been defined.
Pilot costs, maintenance and exit conditions need comparison.
Cybersecurity, personal data or legal questions require the relevant specialists.
If this looks close to your situation, you can describe it now. The form is short and focused on qualification.
What is reviewed
A decision-oriented review, not another vague technical discussion.
The work focuses on the choices, dependencies and risks leadership must understand before committing further.
Business use
Clarification of the task, user and value hypothesis to measure.
Data and access
Review of relevant data, recipients, read or action rights and questions for specialist validation.
Pilot reliability
Definition of human checks, error handling and success criteria before wider use.
Costs and dependency
Review of usage costs, maintenance, hosting choices and practical exit conditions.
Deliverables
A concrete output for leadership.
- Clear decision note.
- Prioritised risks and open questions.
- Vendor or stakeholder questions to clarify before commitment.
- Recommended next decision for leadership.
Intervention format
SME AI audit / workshop
Quoted after scoping.
Additional perspective
Match the contribution to data, access, cost and governance questions
A targeted question about data, access, costs or governance may require specialist expertise. Mahthildis defines the expected contribution; the senior mission lead brings the findings together and integrates them into the recommendation after scope and fees have been agreed.
Positioning
What Mahthildis does not do.
No development is included in a Mahthildis advisory engagement.
No vendor resale and no referral commission.
No low-cost bidding exercise used to force an artificial price.
No recommendation biased by a stack or delivery capacity to place.
FAQ
Common questions.
When should leadership ask for an independent review?
When a technical choice creates budget, vendor or trajectory exposure that cannot be challenged comfortably in-house.
Is this a delivery engagement?
No. Mahthildis advises and arbitrates on the leadership side without selling development capacity.
Can the current vendor be involved?
Yes, when it helps clarify facts and assumptions. The recommendation remains independent.
What is the expected outcome?
A clearer decision: continue, correct, reframe, renegotiate or stop.
Start by clarifying the decision before committing further.
Describe the situation briefly. Mahthildis will confirm whether a short diagnostic is the right entry point or whether another frame is more suitable.
