01
Written AI use policy
The one-page document the team reads, signs, and references when they hit an edge case. Approved tool list, data classification rules, review requirements, escalation path, quarterly review cadence.
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AI governance - Stan Consulting
AI Governance for Data, Access, Approval, and Review Rules
$10M+Paid media. Managed.
200+Shopify stores. Built.
300+Websites. Shipped.
+703%One campaign. Public.
9Case files. Documented.
Updated June 2026 · written diagnostic
Use this when teams are already using AI but no one has written who can use which tool, with what data, under whose review, and where the record lives. SC turns the risk into rules an operator can enforce.
Reviewed by Stan Tscherenkow Last Reviewed June 7, 2026
Founded 2019
Roseville, California
Principal-led scope
buyer decision
Use governance when AI is already inside the workflow.
Use this when the business needs written AI rules before tool use, data access, approvals, and review gates spread across the team.
Key takeaways
What this page settles in one read.
- Five documents, two systems, one operating cadence.
- Written policy, access framework, data-exposure rules, contract clauses, audit trail.
- Coordinates with your legal counsel; does not replace them.
- Incident response template included for AI-related events.
- Engagement runs 4-8 weeks. From $8,000. Multi-jurisdiction scoped after intake.
Offer clarity
What you can buy here.
AI Governance for Data, Access, Approval, and Review Rules is for teams using AI without written data rules, access limits, review gates, approval steps, or an audit trail.
The page does not ask you to study a framework first. It gives you the commercial decision, what is included, and the next action.
- Decision rules
- Review gates
- Risk controls
- Owner handoff
The framework
The 5-Layer AI Governance Framework.
02
Access framework
Role-based access matrix mapping tools to roles to data classifications. SSO integration, account ownership, offboarding, enterprise plan rationale where data sensitivity requires it.
03
Data-exposure rules
Data classification (public, internal, confidential, regulated), approved tools per classification, retention settings, consumer-tier carve-outs, structured prompt templates that anonymise.
04
Contract clauses (MSA, DPA, SOW)
AI-use clause for client MSAs, AI-vendor data processing addenda, subprocessor disclosure, insurance and indemnification review with counsel, client questionnaire response template.
05
Audit trail and incident response
Audit-log architecture, quarterly review cadence, incident response template, client notification timeline, named owner for AI-related incidents, tabletop exercise schedule.
The method behind every engagement
The SC Method™ · how this works
Stan Consulting reads a business situation across five layers. Every engagement starts here. The number anchors. The method extends.
- 01
Site
The page the buyer lands on, hierarchy and trust.
- 02
Account
Paid surface, funnel mechanics, structure, spend.
- 03
Numbers
Tracking, attribution, the actual revenue trail.
- 04
Offer
What is being sold, the price, the proof.
- 05
Follow-up
What happens after the click, the form, the call.
Step 01Send the URLs and the account access.
Step 02Stan Consulting reads the five layers.
Step 03You get the three things to fix first.
Visual diagnostic
AI governance needs a visible path for rules, review, and accountability.
AI work needs data boundaries, access rules, review gates, incident response, and human accountability. Stan Consulting checks what can move, what needs approval, and what must stay controlled.
01Visibility signalHow the business appears in ChatGPT, Google AI, and AI search.
02Workflow signalWhere AI removes repeated work without creating risk.
03Governance signalWho reviews outputs, data, and commercial decisions.
Simple process
No maze. Three moves.
Use the intake path
Share the URL, campaign, store, page, or decision that should be producing calls, quote requests, purchases, booked work, or cleaner owner decisions.
Get the diagnostic
Stan Consulting reviews the situation and points the request to the right paid scope: review, repair, consulting, build, or advisory.
Move on the fix
You get the next action, owner decision, and implementation sequence without a vague exploratory call.
Decision lens
AI Governance vs. AI Strategy vs. legal counsel.
| Axis | AI Governance | AI Strategy | Legal counsel |
|---|---|---|---|
| Layer covered | Policy, access, audit (3) | Posture, boundaries (1-2) | Legal interpretation, contracts |
| Output | Operational policy + audit framework | Strategy document + 12-month plan | Legal opinion + reviewed contracts |
| Cost | From $8,000 | Scoped after diagnostic | $300-$800 per hour |
| Best when | Operating policy is missing | Strategic position is missing | Legal interpretation needed |
| Coordinates with | Counsel + operations + finance | Board + leadership | Operations + governance work |
| Vendor commissions | None | None | None |
| Deliverable timeline | 4 to 8 weeks | 2 to 4 weeks | Per engagement |
Why buyers trust the page
Clear scope before more spend.
A policy that sits in a PDF nobody reads is paperwork. A policy that runs as the operating system with named owners, scheduled reviews, and live audit trail is resilience. The deliverable is the second.
Governance written after an incident is reaction. Governance written before is structure. The engagement produces the structure.
Stan Consulting writes the operational policy; your legal counsel reviews the final document. We work with counsel, not in place of them.
Questions before contact
What buyers usually need to know.
Who should use this AI governance step?
Use it when staff already use AI tools, client or customer data may be involved, approval rules are unclear, or the business needs written review gates before AI spreads further.
What do we get?
You get decision rules, review gates, risk controls, owner handoff, plus the next action that should happen first.
How much does it cost?
From $8,000 is the visible starting point or pricing band for this service. Variable work is priced after the asset, account, timeline, and owner involvement are clear.
How fast can this start?
4-8 week governance package. Response comes through the intake path after the context is submitted.
Do we need a call first?
Not as the first move. Submit the situation first so the conversation starts with the real page, campaign, store, or decision instead of a blank sales call.
What if we already have an agency or internal team?
That is common. The work can review the current setup, direct the internal team, or define what the outside vendor should fix first.
Why does my business need an AI governance policy now?
Three pressures converge: clients increasingly require it in MSAs and DPAs, regulators are landing rules across jurisdictions (EU AI Act, NYC bias audit, California ADMT), and insurance carriers are starting to ask. Businesses that pre-decide governance respond faster and cleaner.
Is this legal advice?
No. Stan Consulting writes the policy structure and the operational framework; your legal counsel reviews the final document. We coordinate with counsel, not in place of them.
Do you cover regulated industries?
Yes for healthcare, financial services, legal, and education adjacent to standard compliance frameworks (HIPAA, SOC 2, ISO 27001, FINRA). Highly regulated work steps to specialised counsel for the legal layer; Stan Consulting writes the operational policy that sits beneath.
What happens after the engagement?
The policy is handed to your operations lead with a quarterly review cadence and an incident response template. Stan Consulting is available on a retainer or per-call basis for incident triage and policy revisions if you want.
Can the policy be customised by region?
Yes. EU AI Act, California ADMT, Colorado AI Act, and other emerging jurisdictional rules can be layered into the policy document. Multi-jurisdiction work is scoped after intake.
External references
What the research says.
- Effective AI governance requires written policy, documented decision boundaries, and named accountability before deployment scales. NIST AI Risk Management Framework
- Risk-tiered AI deployment in the EU now requires documented governance frameworks proportional to risk classification. EU AI Act · Official Text
- The first international standard for AI management systems formalises the policy, access, and audit framework approach. ISO/IEC 42001:2023 · AI Management System
- Auditors increasingly request documented AI use policy and access controls as part of standard SOC 2 review. SOC 2 Trust Services Criteria · AI Addenda
This service answers these pains
If this sounds like the read, these pages are why.
Write the AI rules before the next tool spreads.
Use the intake path when AI use is active but data rules, access, approvals, review gates, and audit trail are not written clearly enough to operate.
Start AI governance review