Founder-led
Service offering
AI Governance Assessment
Translate an AI use case into concrete ownership, evaluation, privacy, monitoring, and approval controls.
MBounded delivery
01InputsStructured and visible
02EvidenceStructured and visible
03DecisionReady for accountable action
1–2 weeks
Fixed scope per defined use case
Engagement architecture
From bounded inputs to an accountable decision.
01Define the evidence→
02Perform focused work→
03Review the decision
What you provide
01Use-case description
02Users and affected parties
03Data categories
04Current policies and controls
What you receive
01Risk tier and rationale
02Control requirements
03Evaluation plan
04Ownership and incident matrix
What is not included
01Legal opinion
02Regulatory certification
03Generic policy generation without a real use case
Representative findings
What a useful result can look like.
These examples illustrate the format of a finding. They are not customer results or promises.
Human review is needed only for one consequence tier
Evaluation lacks an unauthorized-access test
A model inventory owner must be named before launch
Proof before purchase
Inspect the work, boundaries, and decision standard.
Mainspring does not present representative material as customer evidence. Review the sample deliverables, scenario limitations, and delivery controls before deciding whether this engagement fits.
Response commitment
Know what happens after qualification.
You receive an initial response within one business day. If the fit is unclear, Mainspring will say so before recommending a meeting or paid scope.