Turn complex business problems into decisions you can act on

Absolutely. For the board, I'd frame this as an AI governance gap that needs a lightweight policy now, rather than trying to build a huge compliance program.

I can draft a board-ready AI Usage & Governance Policy covering:

• approved vs. prohibited AI use
• confidential/customer data rules
• employee use of ChatGPT, Copilot, Claude, etc.
• human review and accountability
• IP, copyright, and ownership
• security/vendor approval
• customer-facing AI and disclosure
• legal/compliance escalation
• approved-tool inventory and ownership
• training and enforcement
• a simple governance/RACI model
• a 90-day implementation plan and board-level risk summary

Given that you already bought tools but don't know where/how they're being used, I'd also include a one-page AI inventory questionnaire for employees and a decision matrix for Legal/IT/Security.

If you have any existing contracts, procurement records, security policies, or the names of the AI tools you purchased, sharing those would let me make the policy specific rather than generic.

I can also produce it as a board-ready policy + executive summary + implementation checklist even if you don't have those materials.

AI Usage Compliance Pack (Board-Ready)

Headline (what the board needs to approve)

Adopt an immediate, company-wide AI Usage Policy + governance controls to prevent confidentiality, privacy, IP, security, and regulatory breaches arising from undocumented AI tool use, and run a 30-day AI tool inventory + risk classification to bring existing usage under control.

Context (as provided)

• AI tools were purchased last year.
• Usage is not understood internally (“nobody knows what they are”).
• No documentation exists.
• Legal needs an AI usage policy now; you need something board-ready.

Regulatory Compliance Assessment Report

Executive summary

Overall status: Not compliant-by-design today (documentation, oversight, and control gaps). This does *not* mean you are in violation already, but it means you cannot demonstrate compliance if questioned by customers, auditors, regulators, or in litigation.

Critical issues requiring immediate attention (board-level):

1. Unknown AI tool inventory (what is used, by whom, what data goes into it).
2. No written rules for employees/contractors (confidentiality, personal data, IP, security).
3. No vendor governance (data processing terms, retention, training-on-your-data posture, cross-border transfer terms).
4. No audit trail (decisions, approvals, usage logs, incident handling).

Applicable regulatory/oversight frameworks (high-level; counsel to confirm jurisdictional applicability):

• Data protection & privacy: GDPR/UK GDPR, CCPA/CPRA (if handling EU/UK/California personal data), plus sector/state privacy laws depending on footprint.
• Security & confidentiality obligations: contractual confidentiality, trade secret protection, security frameworks customers may require (e.g., SOC 2/ISO 27001 expectations if you sell B2B).
• IP & licensing: copyright, trade secrets, open-source/license contamination risk, ownership of outputs, and training-data restrictions in vendor terms.
• AI-specific regulation: EU AI Act and similar emerging regimes (scope depends on where you operate and whether you develop/deploy AI systems vs only use third-party tools). Specific obligations must be verified by counsel because they depend on system classification and geography.
• Employment & workplace: acceptable use, monitoring/notice, anti-discrimination and HR decision controls if AI is used in hiring/performance.

Last audit date: Not available → treat as not audited.

Risk assessment summary (what can go wrong)

High-risk issues (act in 7 days):

• Confidential or regulated data leakage into third-party AI tools (customer data, source code, financials, credentials).
• Personal data processing without a clear legal basis / notice / vendor DPA (and without a documented retention/deletion stance).
• IP exposure: employees paste proprietary code or content into tools; uncertain rights in outputs; inadvertent third-party IP ingestion.
• Security exposure: AI tools integrated into workflows without SSO/MFA, admin controls, logging, or vendor security review.

Medium-risk issues (act in 30 days):

• Incorrect or hallucinated outputs used in customer-facing materials, finance, legal, or HR decisions without review.
• Bias/discrimination risk if AI influences hiring, promotion, or performance decisions.
• Records and eDiscovery risk: inability to produce records of what was input/output in a dispute.

Compliance gaps (root cause pattern):

• No ownership, no inventory, no classification of use-cases, no contractual guardrails, no training, no enforcement.

Recent regulatory changes requiring adaptation:

• AI-specific laws are evolving quickly; you need a governance mechanism that can be updated quarterly. (Counsel should confirm which jurisdictions are in scope for your company.)

Action Items (prioritized plan the board can track)

Immediate (next 7 days) — “Stop the bleeding” controls

1. Adopt the AI Usage Policy (below) as interim binding policy — Owner: General Counsel (GC) + CISO/Head of IT — Consequence of delay: continued uncontrolled data entry into tools; higher likelihood of reportable incident and contractual breach.
2. Freeze new AI tool purchases and integrations until intake is in place — Owner: CFO/Procurement + IT — Consequence: tool sprawl increases; you lose negotiating and security leverage.
3. Issue a 1-page staff directive (same-day comms) — Owner: GC + HR — Content: “Do not input confidential/personal data into AI tools unless approved; approved tools list forthcoming; violations handled as security incident.” — Consequence: continued inconsistent behavior and weak enforceability.
4. Name accountable owners (RACI) and escalation path — Owner: CEO to assign: GC (policy), CISO/IT (technical controls), Procurement (vendor terms), HR (training/enforcement), Product/Operations (use-case intake) — Consequence: policy exists on paper but is not operationalized.

Short-term (next 30 days) — “Know what you have” + vendor/legal foundations

1. AI Tool Inventory & Data Mapping (minimum viable) — Owner: IT + Security with department heads — Deliverable: list of tools, users, business purpose, data types entered, integrations, admin controls, spend. — Consequence: you cannot credibly represent risk posture to board/customers.
2. Vendor review pack for each AI tool (contract + security + privacy) — Owner: Legal + Security + Procurement — Minimum checks: DPA, sub-processors, retention/deletion, training on customer data opt-out, breach notice, audit rights, data residency/cross-border, SSO/MFA/logging, permitted uses. — Consequence: silent unfavorable terms (e.g., retention/training) become a litigable issue.
3. Use-case classification (Allowed / Restricted / Prohibited) with approvals — Owner: GC + Security + business owner — Consequence: inconsistent decisions and unfairness across teams.
4. Training + acknowledgment (mandatory) — Owner: HR + GC — Consequence: policy unenforceable in practice; higher insider-risk.

Strategic (90+ days) — “Sustainable governance”

1. AI Governance Committee + quarterly reporting to the board — Owner: CEO/GC — Metrics: tool inventory completeness, % staff trained, incidents, exceptions granted, vendor review completion, high-risk use-cases.
2. Implement technical guardrails (as appropriate to your stack) — Owner: CISO/IT — Examples: SSO enforcement, blocking unapproved tools, DLP rules, logging/retention, approved “safe” enterprise AI environment.
3. Documented AI risk management lifecycle — Owner: GC + CISO + Product/Operations — Deliverable: intake → assessment → approval → monitoring → re-review cadence.

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AI Usage Policy (Interim) — Board-Ready Draft

*Status: Interim policy for immediate adoption; to be finalized after 30-day inventory and counsel review.*

1) Purpose

Enable productivity gains from AI tools while protecting the company, customers, and employees by preventing unauthorized disclosure of confidential information, unlawful processing of personal data, IP loss, security incidents, and regulatory exposure.

2) Scope

Applies to all employees, contractors, interns, and third parties acting on the company’s behalf, across all AI-enabled tools (including chat assistants, code assistants, document summarizers, image generators, meeting assistants, and embedded AI features in SaaS products).

3) Definitions (plain language)

• AI Tool: software functionality that generates or transforms text, code, images, audio, video, or decisions using statistical/ML techniques.
• Confidential Information: any non-public company/customer/vendor information (includes source code, financials, strategy, credentials, pricing, contracts).
• Personal Data: information relating to an identified/identifiable person (customers, employees, prospects).

4) Policy Principles (non-negotiables)

1. Minimum necessary: share the least information needed.
2. Human accountability: a person is always responsible for final decisions and outputs.
3. No secrets in public tools: do not input confidential/personal data into unapproved tools.
4. Document decisions: approvals, exceptions, and high-risk uses must be recorded.

5) Allowed, Restricted, and Prohibited Uses

Allowed (no approval required) — ONLY with non-sensitive inputs

• Drafting generic internal content using public/non-confidential prompts.
• Brainstorming, outlining, rewriting text that contains no confidential or personal data.
• Summarizing documents *only* when the tool is approved and the document is permitted data (see Restricted).

Restricted (approval required: Legal + Security + business owner)

• Processing any personal data (customer/employee/prospect) in an AI tool.
• Processing confidential company or customer data (including source code, contracts, incident data).
• Using AI outputs in customer-facing materials, legal communications, pricing, financial reporting, or HR decisions.
• Integrating AI tools with company systems (APIs, plugins, email, ticketing, CRM, code repositories).

Prohibited (not allowed)

• Entering passwords, API keys, credentials, or security configurations into any AI tool.
• Using AI tools to make or recommend employment decisions (hire/fire/promotion/compensation) without a formal HR + Legal process designed to prevent discrimination and provide explainability.
• Using AI tools to bypass security controls, generate malware, or perform unauthorized testing.
• Using unapproved AI tools for regulated/high-stakes decisions (legal advice, medical, safety-critical).

6) Data Handling Rules (what you may input)

• Never input: credentials, customer secrets, unreleased financials, private M&A info, non-public source code, or any data classified as “restricted” by company policy.
• Personal data: only in approved tools with a documented legal basis, notice alignment, and a signed DPA (where required).
• Anonymization is not a free pass: removing names may still leave personal data if re-identification is possible.

7) Output Handling (what you may do with AI results)

• Treat AI output as unverified draft.
• Mandatory review before use in external communications, customer deliverables, contracts, or policy.
• Do not represent AI output as factual without verification and citations.
• For code: security review requirements still apply; AI-generated code must comply with licensing and secure coding standards.

8) IP, Copyright, and Licensing

• Do not request or use AI output that copies proprietary third-party material.
• Do not paste third-party licensed code into AI tools unless Legal/Security approves.
• Employees must assume AI output may have unclear IP status unless vendor terms and counsel confirm otherwise.

9) Vendor / Tool Approval Process (intake)

Before a tool is approved for Restricted use, Legal + Security + Procurement must confirm, at minimum:

• Data use (including whether the vendor trains on your inputs and how to opt out)
• Retention/deletion controls
• Sub-processor disclosures
• Security controls (SSO/MFA, logging, access controls)
• Breach notification commitments
• Cross-border transfer terms (if applicable)

10) Recordkeeping and Audit Trail

• Approved tools list maintained by IT/Security.
• Exceptions documented by Legal with business justification, duration, and controls.
• High-risk uses must have an owner and a review cadence.

11) Incident Reporting

Any suspected leakage of confidential/personal data into an AI tool, or any suspected misuse, must be reported immediately as a security incident via the established incident channel. Legal determines whether regulatory or contractual notification is required.

12) Training, Compliance, and Enforcement

• Mandatory annual training and policy acknowledgment for all staff; additional training for high-risk roles.
• Violations may result in access removal, disciplinary action, contract termination (for vendors/contractors), and reporting obligations.

13) Governance

• Policy owner: General Counsel.
• Operational owner: CISO/Head of IT.
• Review cadence: quarterly (or sooner if a major regulatory or incident trigger occurs).

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Data Protection Review (GDPR / CCPA) — Minimum Requirements to Operationalize the Policy

*(Informational; counsel to validate applicability and exact obligations.)*

Current status (based on your input)

• Privacy policy status: Unknown / not mapped to AI processing
• Data processing documentation (RoPA / data maps): Absent for AI tools
• Legal basis for processing (GDPR): Not documented
• Retention periods: Not documented per AI vendor/tool
• User rights handling (access/deletion/objection): Not mapped to AI tool flows
• Breach response (72-hour style obligations where applicable): likely exists generally, but not tested for AI vendor scenario
• Cross-border transfers: Unknown

Minimum actions to reduce privacy exposure

• Prohibit personal data in unapproved tools immediately.
• For any approved processing of personal data: document purpose, categories, retention, vendor role (processor/sub-processor), and user notice alignment.

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Contract Review — Clauses to Fix / Confirm for AI Vendors

*(This is a risk checklist; not legal advice.)*

High-risk clauses (prioritize)

• Vendor may retain or train on your data by default.
• No clear deletion SLA or customer-controlled retention.
• Weak breach notification or no timeline.
• No audit rights / limited security assurances.
• Broad vendor indemnity carve-outs leaving you exposed for IP/privacy claims.

Medium-risk clauses

• Ambiguity on IP ownership of outputs and rights to use outputs commercially.
• Termination/data return language missing or vague.
• Governing law/jurisdiction misaligned with your risk tolerance.

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What to show the board (one-page tracking dashboard)

Approve today:

1. Interim AI Usage Policy (this document)
2. Freeze on new AI tool purchases/integrations pending intake
3. 30-day inventory + vendor review program

Board oversight metrics (monthly for 90 days):

• % AI tools inventoried (target: 100%)
• % users trained/acknowledged (target: 95%+)
• # high-risk use-cases approved with controls (target: all documented)
• # incidents/exceptions (target: trending down; all investigated)

Next step (start today)

Publish the interim AI Usage Policy and the same-day employee directive, and assign owners for the 30-day inventory/vendor review so enforcement is real, not just documented.