AI compliance readiness
Outputs you keep
Prioritized gap assessment
Evidence index
Remediation roadmap
What you get
Working outputs, not a presentation about them
Know what is missing for a named AI framework or review, what to fix first, and which evidence supports each control.
Scope and applicability record
Prioritized gap assessment
Evidence index
Remediation roadmap
Evidence request and exception log
Readiness reporting pack
Handover guide
Outcomes
What will we have at the end?
The gaps are visible
Remediation has an order
Evidence is ready to review
Examples
What could this look like in our business?
These are examples of suitable work, not claims about past client engagements.
Example: an insurer must answer a state AI bulletin
Example: a healthcare team is preparing a HIPAA risk analysis
Example: a law firm is reviewing generative AI duties
Example: a company is preparing for ISO/IEC 42001
Example: leadership adopts the NIST AI Risk Management Framework
Success measures
How do we know it worked?
We agree the measures at kickoff and use them in the final decision.
Measures agreed at kickoff
- Every in-scope requirement has a documented status and an evidence reference or recorded gap.
- Every prioritized gap has an owner and a defined next action.
- The client team can retrieve the indexed evidence for a sample of requirements during a review exercise.
- Open exceptions and missing evidence are visible in one tracker rather than held in email or individual notes.
- The sponsor can use the reporting pack to decide whether to remediate, narrow scope, or proceed to formal review.
Your team
What does our team need to give?
For a gap assessment, plan for about 8 to 14 hours across the client team in a typical week. Full readiness varies with the remediation the assessment identifies.
Executive sponsor
Compliance coordinator
Control and system owners
Legal or framework adviser
Duration
A build path your team can see
3 to 4 weeks gap assessment · 3 to 6 months full readiness
Set the target framework, scope the systems, and collect current evidence.
Assess gaps, prioritize remediation, and deliver the gap report.
For full readiness, close gaps, assemble evidence, and prepare for review.
Data and security
Is our data safe?
How the engagement handles data
- The client controls the evidence source and access. We agree which documents and systems are needed before collection starts.
- We request the minimum access needed and use redacted or representative evidence when it can support the assessment.
- Credentials remain individual and client-managed; they are not placed in the evidence package or shared through general project documents.
- Sentinel records metadata, not prompt or response content, for supported AI activity. Its coverage limits must be reflected in any evidence claim.
- The SUPERWISE platform is not covered by a BAA, so protected health information must be kept out of it.
Ownership
What do we own when it is over?
You own the gap assessment, evidence index, remediation plan, reporting pack, handover guide, and the decisions your team records. If you stop working with us, the files remain yours and your control owners can continue remediation and maintain the evidence structure.
After the engagement
What happens after?
A gap assessment ends with a decision to remediate, narrow the review scope, or proceed. Full readiness continues through the agreed remediation window and handover. Teams that need continuing evidence coordination, control reporting, and operational support can scope managed AI operations separately.
Draft pricing for review
Know the range before the first call
We confirm a fixed scope and price after a scoping call.
| Tier | Price range | Duration | Included in a line |
|---|---|---|---|
| Gap assessment | $12,500 | 3 to 4 weeks | One target framework |
| Full readiness | $75,000 | 3 to 6 months | Prioritized gap assessment |
Not included
- External audit, certification-body, regulator, or assessor fees
- Certification, attestation, or a guarantee that a formal review will succeed
- Legal advice or a determination of which requirements apply
- Software and product subscriptions
- Remediation work outside the agreed full-readiness scope
- Additional frameworks, business units, or systems beyond the agreed scope
- Ongoing evidence operation after handover unless managed AI operations is separately contracted
Fit
Know whether this is the right starting point
Teams of 100 to 500 people preparing for a named framework or review
Good fit if
- For teams that need to find the gaps, organize evidence, and prepare for a formal assessment.
- Teams of 100 to 500 people preparing for a named framework or review
- You want a defined handover your team keeps.
Start somewhere else if
Who delivers and proof
Delivered by the SUPERWISE services team
We do not yet publish a case study for this exact compliance-readiness engagement. The nearest published example is Renova Health, where SUPERWISE supports managed AI operations; the services team also runs managed AI operations for Boca Raton Regional Hospital. Those examples show ongoing operational work, not a claim that either organization bought this compliance package.
Related published work
AI compliance readiness questions
What to expect before you start
The service path
Where this fits
Learn about the decisions
Can one AI system comply with several regulatory regimes at once?
Which AI systems can have their logic audited, and which cannot?
Can you prove afterwards who did what with AI?
Kits for this work
Score one workflow on evidence
Products this service puts to work
Accelerate this engagement with Council
SUPERWISE Sentinel
The SUPERWISE platform
Talk to us
Tell us about AI compliance readiness
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