Is a written AI policy required by law?

There is no single federal mandate requiring an AI policy for all businesses, but sector regulations and state laws may impose documentation, transparency, or risk-mitigation requirements. Use the policy to demonstrate reasoned governance and readiness for regulatory inquiries.

Can the policy be executed electronically?

Yes. Policy documents and signatures executed electronically are generally enforceable under the ESIGN Act and UETA when intent, consent, attribution, and retention are satisfied. Use an eSignature platform that preserves audit trails and supports record reproduction.

How often should the policy be updated?

Update the policy at least annually, or sooner after material changes to systems, law, or business processes. Frequent model changes or new vendor integrations warrant more frequent review cycles.

What privacy safeguards are necessary?

Include controls for data minimization, de-identification, purpose limitation, and access restrictions. In healthcare contexts, include HIPAA protections and ensure Business Associate Agreements where vendors handle PHI.

Who enforces the policy day to day?

Assign operational enforcement to a governance committee or appointed data steward, with escalation to legal and security for incidents. Clear ownership ensures monitoring, remediation, and continuous improvement.

How should vendor models be handled?

Require vendor risk assessments, contractual security and audit rights, transparency about training data and limitations, and periodic reassessment to ensure third-party models meet your policy controls.

Business AI Policy

This template is fully customizable. Edit the text, fill out the fields, and send it for signature. Give it a try!

BUSINESS AI POLICY

Company Name: Policy Adopter Name:

Effective Date: Policy Owner / Contact:

WHEREAS

WHEREAS, Company Name: develops, procures, or utilizes artificial intelligence systems and related services to support business operations, and

WHEREAS, Policy Adopter Name: will access, use, or implement AI systems on behalf of or within the operations of the Company and requires documented policy, governance, and accountability measures, and

WHEREAS the Parties desire to set forth the permitted uses, control measures, reporting obligations, and accountability standards applicable to AI systems operated, procured, or used in connection with the Company's business activities.

SCOPE OF WORK

This Business AI Policy governs the design, procurement, deployment, operation, monitoring, maintenance, and decommissioning of artificial intelligence systems used by or on behalf of the Company. It applies to models, training data, inference services, human review processes, and any outputs that inform or automate business decisions.

Detailed Scope / Activities

AI USE CATEGORIES AND RESTRICTIONS

The following categories describe authorized uses and explicit prohibitions. Use of AI outside authorized categories requires prior written approval by the Policy Owner and compliance with additional safeguards.

Authorized Uses (check all that apply)

Decision support and data analysis Process automation for internal operations Customer service augmentation

Prohibited Uses

The following uses are prohibited unless an exception is granted in writing: (a) autonomous decision-making in high-risk regulated contexts without human review; (b) creation of deepfakes or synthetic media intended to deceive; (c) uses that materially discriminate against protected classes or violate privacy laws.

PAYMENT TERMS

If this Policy accompanies procurement of AI services or licensing, the following payment terms apply to the services described in the Scope of Work.

Payment Amount Payment Schedule / Milestones Late Payment Fee

TERM AND TERMINATION

This Policy commences on Start Date: and remains in effect until End Date: unless earlier terminated in accordance with this section.

Either Party may terminate this Policy for convenience upon prior written notice of days to the other Party. The Company may immediately suspend or terminate AI access where continued use would present an imminent risk to safety, security, or legal compliance.

Termination shall not relieve either Party of obligations accrued prior to termination, including payment obligations and confidentiality duties.

CONFIDENTIALITY

All non-public information exchanged in connection with AI development, datasets, model parameters, training methodologies, performance metrics, security measures, and related documentation is Confidential Information. The receiving Party shall: (a) use Confidential Information solely to perform obligations under this Policy; (b) restrict access to personnel with a need to know and who are bound by confidentiality obligations; and (c) implement reasonable technical and organizational safeguards to prevent unauthorized disclosure.

Confidentiality obligations survive termination of this Policy for a period of five (5) years, except as required by applicable law for a longer period or as otherwise agreed in writing.

COMPLIANCE, AUDIT, AND RISK MANAGEMENT

The Adopter shall maintain records sufficient to demonstrate compliance with this Policy and shall permit the Company to audit such records upon reasonable notice to verify adherence to the controls described herein. The Adopter shall promptly notify the Company of any material incidents, model failures, significant bias findings, or regulatory inquiries related to AI systems covered by this Policy.

Audit Frequency

GOVERNING LAW

This Policy shall be governed by and construed in accordance with the laws of the jurisdiction indicated below, without regard to conflict-of-law principles.

Governing Law (State / Jurisdiction)

ENTIRE AGREEMENT

This Policy, together with any attachments, schedules, and acknowledged amendments, constitutes the entire agreement between the Parties with respect to the subject matter herein and supersedes all prior or contemporaneous oral or written representations, negotiations, and agreements. No modification of this Policy shall be effective unless in writing and signed by authorized representatives of both Parties.

MISCELLANEOUS PROVISIONS

If any provision of this Policy is held invalid or unenforceable, the remaining provisions shall remain in full force and effect. Neither Party shall assign its rights or obligations under this Policy without the prior written consent of the other Party, except to a successor in interest in connection with a merger or sale of substantially all assets.

Special Provisions / Notes Adopter Acknowledgement

The Adopter acknowledges receipt of this Business AI Policy, agrees to comply with its terms, and certifies that individuals granted access to covered AI systems will be trained and bound by these policies.

Company Printed Name:

By:

Date:

Adopter Printed Name:

By:

Date:

What a Business AI Policy Is and What It Covers

A Business AI Policy is an internal governance document that defines how an organization approves, develops, deploys, monitors, and decommissions artificial intelligence systems. It sets roles and responsibilities, risk thresholds, data handling rules, model validation and testing requirements, privacy safeguards, and reporting channels. The policy aligns AI use with applicable U.S. laws and internal compliance programs, clarifies acceptable use, and creates repeatable processes for vendor oversight, change control, incident response, and documentation retention.

Why a Formal AI Policy Matters for Your Organization

A clear Business AI Policy reduces operational risk, supports regulatory compliance, and improves decision consistency. It helps allocate accountability, protects data subjects, and provides a framework for audit and oversight while enabling responsible innovation within legal boundaries.

Core Elements to Include in a Professional Business AI Policy

A robust policy groups requirements into modular sections so they can be enforced, audited, and updated as technology or law changes.

Scope

Define covered systems, business units, and exclusions so readers know which models and use cases the policy governs and which are out of scope.

Definitions

List precise definitions for terms such as model, training data, inference, PII, de-identification, and acceptable risk to avoid ambiguity in interpretation.

Data Governance

Require data provenance, purpose limitation, minimization, and retention rules; assign data owners and document permissible datasets and transformations.

Development Lifecycle

Specify design, testing, validation, fairness checks, performance metrics, and change-control steps from prototype to production deployment.

Monitoring and Audit

Establish continuous monitoring, logging, model drift detection, periodic audits, and incident escalation procedures with defined thresholds.

Vendor and Third-Party Controls

Mandate vendor due diligence, contractual protections, security assessments, and rights to audit for any third-party AI services or models.

Step-by-Step: Create, Review, and Approve Your AI Policy

Follow a structured workflow from initial draft to organization-wide publication to ensure stakeholder input and legal review.

01

Draft: Document scope, controls, and responsibilities in the template.
02

Assess: Conduct risk, privacy, and fairness evaluations for covered use cases.
03

Review: Obtain input from legal, compliance, security, and affected business units.
04

Approve: Secure executive sign-off and publish the finalized policy.

How to Configure an Online Policy Workflow

Set up the digital workflow so the policy routes automatically for review, signature, and archival.

Field	Configuration
Template Location	Store in a central, access-controlled repository.
Approver Sequence	Define ordered reviewers and final approver.
Authentication Method	Choose email, SMS code, or two-factor for signer verification.
Retention Setting	Configure automatic archival and retention labels.

Technical Considerations for Digital Policy Execution

Select tools that support secure signatures, audit logs, and integrations with your compliance systems.

Integrations: Salesforce, NetSuite, Microsoft 365, Google Workspace
Document Formats: PDF, DOCX, HTML compatible
Security: TLS, AES-256 at rest

Ensure the chosen platform offers audit trails, role-based access, and retention controls aligned with internal policy requirements.

Where to Send and Archive the Finalized Policy

Define submission points and archival locations to maintain a single source of truth and facilitate audits.

Legal Repository: Save final signed copy in the legal department archive.
Compliance Portal: Publish approved policy to the compliance management system.
HR Records: Add signed acknowledgement to employee records where applicable.
Document Management: Archive the master file with version control enabled.

Typical eSignature Vendor Comparison for Policy Execution

Core vendor choices vary by price, compliance support, and enterprise features. signNow appears first for clear comparison.

	signNow	DocuSign	Adobe Sign	PandaDoc	HelloSign
Starting Price	$8/user/mo	$15/user/mo	$14/user/mo	$19/user/mo	$15/user/mo
Free Trial	Yes, 7-day free trial	Varies by plan	Varies by plan	Varies by plan	Varies by plan
Bulk Send	Yes (Business Premium)	Varies by plan	Varies by plan	Varies by plan	Varies by plan
Audit Trail	Yes	Yes	Yes	Yes	Yes
HIPAA Compliant	Yes	Yes	Yes	No	No

Key Dates and Review Cadence to Keep the Policy Current

Set clear deadlines for adoption, review, training, and incident reporting to maintain currency and compliance.

Policy Effective Date:

Date when obligations and controls take effect for covered systems.

Annual Review Cycle:

Conduct a full policy review at least once per year or after major regulatory change.

Incident Reporting Deadline:

Define internal reporting timeframes for model failures or data incidents.

Employee Training:

Complete role-specific training within 90 days of policy adoption.

Retention Checkpoint:

Verify archival and purge actions against retention schedule annually.

Milestone Timeline from Draft to Policy Implementation

A concise milestone sequence clarifies ownership and keeps the project on schedule from inception to enforcement.

01

Drafting

Author initial policy draft with input from product, security, and legal teams.

02

Internal Review

Circulate for business unit and compliance feedback and reconcile comments.

03

Executive Approval

Secure sign-off from senior leadership or delegated authority.

04

Implementation

Publish policy, train staff, and enable technical controls and monitoring.

Common Pitfalls to Avoid When Preparing an AI Policy

Drafting overly vague controls that are hard to enforce leads to inconsistent implementation and weak auditability.
Failing to name accountable roles causes delays in approvals, gaps in monitoring, and unclear escalation paths.
Treating the policy as a one-time document rather than a living governance tool causes divergence from operational reality.
Neglecting vendor oversight risks exposure from third-party models that lack transparency or sufficient security controls.

Security and Compliance Data Points to Include

Encryption: TLS 1.2/1.3; AES-256 at rest

Access Control: Role-based access and least privilege

Audit Trail: Immutable logs for decisions and changes

HIPAA BAA: Required when handling PHI

Authentication: MFA for privileged access

Data Minimization: Limit training data to necessary elements

Principal Risks and Potential Consequences of Noncompliance

Regulatory Fines: Civil penalties and remediation costs

Data Breach: Notification duties and mitigation expenses

Reputational Harm: Loss of customer trust and market impact

Operational Disruption: Service outages or degraded performance

Contractual Liability: Breach of vendor or customer agreements

Legal Exposure: Private litigation and injunction risk

Who Should Sign and Own the Business AI Policy

Chief Legal Officer

The Chief Legal Officer or General Counsel typically reviews legal risk, approves policy language related to compliance, and maintains a record of organizational acceptance. Their signature signals formal legal acceptance and enables enforcement across business units.

Chief Information Officer

The CIO or equivalent technology leader validates technical feasibility, affirms security controls, and signs to confirm that infrastructure and operations can support mandated monitoring and retention requirements.

Frequently Asked Questions About a Business AI Policy

Answers to common questions help teams apply the policy consistently and avoid procedural errors.

Need help? Contact support

Is a written AI policy required by law?
There is no single federal mandate requiring an AI policy for all businesses, but sector regulations and state laws may impose documentation, transparency, or risk-mitigation requirements. Use the policy to demonstrate reasoned governance and readiness for regulatory inquiries.
Can the policy be executed electronically?
Yes. Policy documents and signatures executed electronically are generally enforceable under the ESIGN Act and UETA when intent, consent, attribution, and retention are satisfied. Use an eSignature platform that preserves audit trails and supports record reproduction.
How often should the policy be updated?
Update the policy at least annually, or sooner after material changes to systems, law, or business processes. Frequent model changes or new vendor integrations warrant more frequent review cycles.
What privacy safeguards are necessary?
Include controls for data minimization, de-identification, purpose limitation, and access restrictions. In healthcare contexts, include HIPAA protections and ensure Business Associate Agreements where vendors handle PHI.
Who enforces the policy day to day?
Assign operational enforcement to a governance committee or appointed data steward, with escalation to legal and security for incidents. Clear ownership ensures monitoring, remediation, and continuous improvement.
How should vendor models be handled?
Require vendor risk assessments, contractual security and audit rights, transparency about training data and limitations, and periodic reassessment to ensure third-party models meet your policy controls.

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