A fixed-fee Growth AI Governance Pack for teams running Microsoft 365 Copilot, Azure OpenAI, Databricks, vendor AI, or internal copilots before the oversight model catches up. We inventory your AI, classify risk, build the policy and owner matrix, review vendor controls, and produce an evidence pack with a 90-day roadmap.
For regulated teams, we layer the work onto the supervisory or procurement frameworks you already answer to. For growth and mid-market teams, we keep it practical enough to operate before AI use spreads across functions.
Governance readiness assumes your AI is actually secure. Most deployments have never been tested for prompt injection, data leakage, or agent abuse. Start with an AI Security X-Ray.
Every Growth Pack ships the same core artifacts: a defensible inventory, a risk read, a policy and owner model, vendor-control review, a gap assessment against the one framework that matters to you, a control crosswalk so one control set covers multiple frameworks, and a roadmap with a board / proposal-ready readout. Document once, tag twice.
An AI system inventory and use-case register covering up to five in-scope systems — the models, the data they touch, the people who own them, and the business purpose each one serves.
Each system classified and tiered against the obligations of your chosen framework, so high-risk and general-purpose AI gets the scrutiny it warrants and low-risk systems are not over-governed.
A gap assessment against one primary framework — NIST AI RMF, the EU AI Act, or ISO/IEC 42001 — that shows exactly where you stand today and what is missing to reach readiness.
A crosswalk from framework clauses to NIST AI RMF functions to your existing controls. Document once, tag twice — one control set evidenced once, mapped across the frameworks you answer to.
A 90-day remediation roadmap your team can act on, plus a board / proposal-ready executive readout you can hand a board, a buyer, or cite in a federal proposal.
The Growth Pack runs in four phases over four to six weeks. You know what is happening each week and what lands at the end.
Agree the in-scope AI systems (up to five priority systems), the primary framework that matters to your auditors or buyers, and the existing controls we will map onto. Rules of engagement in writing.
Build the AI system inventory and use-case register, interview owners, and classify and tier each system against the obligations of your chosen framework.
Assess the gaps against the primary framework and build the control crosswalk that ties framework clauses to NIST AI RMF functions to the controls you already run.
Deliver the 90-day remediation roadmap and the board / proposal-ready executive readout, and walk your team and leadership through it.
Frameworks, layered not duplicated. We anchor the assessment to one primary AI framework — NIST AI RMF, the EU AI Act, or ISO/IEC 42001 — and layer it onto the SOC 2 / ISO 27001 controls you already evidence, so a single control set answers multiple frameworks instead of standing up a parallel compliance program.
Managed AI Governance is the owner lane. It keeps the AI inventory, risk register, policies, framework interpretation, and evidence current. Managed AI Operations, on the Private AI page, is the runtime lane for private AI systems: monitoring, maintenance, re-testing, model/vendor change review, and infrastructure evidence upkeep.
If you need to show what that runtime lane actually includes after launch, read the Managed AI Operations Runbook sample: weekly and monthly operating cadence, evidence-refresh artifacts, escalation rules, and the client-versus-DSE ownership boundary.
Start with the Growth AI Governance Pack, the fixed-fee readiness package for multi-team companies. Keep governance current with a Managed AI Governance retainer, give it a named accountable owner with a Fractional AI Governance Officer, or — for federal pursuits — buy the focused B&P add-on that produces the AI governance narrative for a specific solicitation.
Final scope and fee are set in a 30-minute discovery call. The Growth Pack covers up to five priority AI systems; additional systems, frameworks, or environments are scoped separately. The Snapshot sample remains the easiest way to preview the evidence package. The B&P add-on is often billable as bid-and-proposal cost — confirm treatment with your contracts team.
US bank examiners supervise AI through their existing prudential tools — not a single AI standard. We anchor the audit-readiness work to those supervisory expectations, and we use the voluntary AI frameworks where they actually carry weight: procurement, board assurance, and enterprise-customer due diligence. We never imply your examiners require ISO 42001.
| Examiner / supervisory anchor | What we map to it |
|---|---|
| SR 26-2 (model risk) | Model development, validation, governance, and ongoing monitoring expectations applied to your AI and ML models — inventory, tiering, and the controls examiners expect to see. |
| Third-party / vendor risk | Interagency third-party risk management guidance applied to your AI vendors and model providers — due diligence, monitoring, and contract controls for critical AI dependencies. |
| Fair lending (ECOA / Reg B) | Where AI touches credit decisions, the fair-lending exposure and the documentation, testing, and adverse-action evidence supervisors look for. |
| UDAP / UDAAP | Unfair, deceptive, or abusive acts and practices exposure from AI-driven customer interactions, disclosures, and automated decisions. |
For procurement, board assurance, and enterprise-customer due diligence — where the question is "can you show a recognized AI management standard" rather than "what does the examiner require":
| Procurement / board / enterprise anchor | What we map to it |
|---|---|
| ISO/IEC 42001 | AI management system clauses — the structure enterprise customers and procurement teams increasingly ask for, mapped to the controls you can actually evidence. A procurement and board-assurance instrument, not an examiner mandate. |
| NIST AI RMF | Govern / Map / Measure / Manage functions — a board-assurance and procurement vocabulary for your AI systems and gaps, and the common pick for federal-facing pursuits. |
| EU AI Act | Risk-tier obligations and the testing, documentation, and robustness expectations — only relevant if you place AI on the EU market (see the dated status block below). |
| SOC 2 / ISO 27001 | The security program you already run. The crosswalk layers AI governance on top so one control set covers multiple frameworks — document once, tag twice. |
The European Parliament approved the Digital Omnibus on 16 June 2026; Council formal adoption and Official Journal publication are expected late July. This defers Annex III high-risk obligations to 2 December 2027 and Annex I product-embedded obligations to 2 August 2028.
Until Official Journal publication, the 2 August 2026 milestone remains the operative statutory date. If you do not place AI on the EU market, none of this applies to you.
Microsoft 365 Copilot was recertified to ISO/IEC 42001:2023 in March 2026, but that certificate covers Microsoft's own AI management system for the service. It does not transfer to your deployment, prompts, data governance, or use-case risk.
It is an input to your third-party assessment, never a substitute. We treat vendor certificates as evidence to evaluate, not a control you can inherit.
No. DSE provides AI governance and compliance readiness consulting. We are not an accredited certification body and do not issue ISO/IEC 42001 certificates or certify EU AI Act or NIST AI RMF compliance — only accredited certification bodies or notified bodies do that. We get you ready and map the evidence; the certificate, where one exists, comes from the accredited body.
No, and we will not claim otherwise. We cannot guarantee passing an audit or avoiding enforcement. What the Growth Pack does is give you a defensible inventory, a gap assessment, policy and owner structure, vendor-control review, and a remediation roadmap so you go into an audit, buyer review, or regulator conversation with your work in order.
No. We do not provide legal advice. We work alongside your counsel — the readiness work and control-mapping are an engineering and governance exercise, and your attorneys own the legal interpretation of the EU AI Act, enforcement risk, and contractual obligations.
No. That is the point of the engagement. We layer AI governance onto the program you already run with a control crosswalk, so one control set covers multiple frameworks — document once, tag twice. You are not standing up a parallel compliance program.
We anchor to one primary framework in the scope call. Federal-facing teams usually pick NIST AI RMF; teams selling into the EU pick the EU AI Act; teams answering enterprise procurement increasingly pick ISO/IEC 42001. We crosswalk to the others regardless of which one is primary.
Up to five priority AI systems within the fixed fee. If you run more than five, we scope the most material systems first and price additional systems separately — the band above is for the core five-system engagement.
The roadmap is yours to run, or you can convert into Managed AI Governance — quarterly control testing, surveillance-audit prep, and registry upkeep — or stand up a Fractional AI Governance Officer (vCAIO) who owns AI governance over time, keeps policies current as the rules change, and maintains audit readiness. Ongoing accountability, not a report in a drawer. And when you need the platform layer, the workspace your team does its AI work in, we build on PrivateStack, our governed AI workspace platform.
Yes. The AI Risk & Compliance Plan for RFP / TO add-on (2 to 4 weeks, often billable as B&P) produces the AI governance narrative for a specific solicitation, a draft program AI governance plan, and a NIST AI RMF mapping. It is a secondary door for federal pursuits and can precede the Growth Pack. Fixed fee, scoped in a 30-minute discovery call.
The two most-requested cross-framework tools for financial institutions running multi-framework governance programs — free downloads, direct to your work email.
A single cross-framework control matrix that maps GLBA, NIST CSF 2.0, NYDFS Part 500, and CCPA/CPRA requirements side by side — document once, satisfy four frameworks.
Maps NIST AI RMF Govern/Map/Measure/Manage functions onto financial services model risk and AI governance obligations — practical, examiner-facing guidance for CROs and AI governance leads.
Browse all 12 tools in the Financial Services Compliance Resource Library →
A 14-item self-scored checklist across NIST AI RMF, mapped to ISO/IEC 42001 and US supervisory expectations. Know where you stand before an examiner asks.
Start with the free AI Governance Audit-Readiness Checklist to see where you stand, then tell us what you are shipping and which board, buyer, supervisory, or procurement pressure you are answering. We will scope a fixed-fee Growth Pack in a 30-minute call.
Get the AI Governance Audit-Readiness Checklist → Scope the Growth Pack →DSE provides AI governance and compliance readiness consulting. We are not an accredited certification body and do not issue ISO/IEC 42001 certificates or certify EU AI Act or NIST AI RMF compliance. Only accredited certification bodies or notified bodies do that.
We cannot guarantee passing an audit or avoiding enforcement. A readiness engagement is a point-in-time assessment of the systems as scoped; it gives you a defensible inventory, a gap assessment, and a roadmap to act on — not a warranty of an outcome we do not control.
We do not provide legal advice. We work alongside your counsel. The legal interpretation of the EU AI Act, enforcement exposure, and contractual obligations belongs to your attorneys; our work is the engineering and governance readiness underneath it.
Where we describe "mapping to" NIST AI RMF, the EU AI Act, ISO/IEC 42001, SOC 2, or ISO 27001, that means advisory alignment, not certification.
All engagements are governed by a signed SOW / MSA that includes a limitation of liability.