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Business AI Document

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Business AI Services Agreement

Effective Date:

Client Name:    Provider Name:

Recitals

WHEREAS, Client seeks to obtain artificial intelligence services, deliverables and related consulting services as set forth in this Agreement from Provider; and

WHEREAS, Provider represents that it has experience, personnel and technical capacity to design, develop, deploy and integrate AI models, software, and deliverables described herein in accordance with the terms of this Agreement; and

NOW, THEREFORE, in consideration of the mutual promises contained herein, the parties agree as follows:

1. Scope of Work

Provider shall perform the services and deliver the deliverables described in this Section 1 and any attachments or statements of work incorporated by reference. The scope shall include model development, integration, testing and delivery of outputs as specified below.

2. Payment Terms

Client shall pay Provider the fees set forth in this Section. Fees are due as invoiced and payment is a prerequisite to delivery of final deliverables where specified. Unless otherwise agreed in writing, all amounts are payable in U.S. dollars and exclusive of applicable taxes for which Client is responsible.

3. Term and Termination

This Agreement commences on the Effective Date and continues until completion of the Scope of Work or the End Date set forth below, unless earlier terminated in accordance with this Section.

Start Date:    End Date:

Either party may terminate this Agreement for material breach by the other party if the breaching party fails to cure such breach within the notice period specified above following written notice. Termination will not relieve Client of payment obligations for services performed and deliverables delivered through the effective date of termination.

4. Confidentiality

Each party (the Disclosing Party) may disclose Confidential Information to the other (the Receiving Party). Confidential Information includes nonpublic business information, technical data, algorithms, model architectures, training data, pricing and other information reasonably designated as confidential.

The Receiving Party shall (a) hold Confidential Information in strict confidence using at least the same degree of care it uses to protect its own confidential information but no less than a reasonable standard of care; (b) use Confidential Information solely to perform its obligations under this Agreement; and (c) not disclose Confidential Information to third parties except to its employees, contractors or agents who have a need to know and are bound by confidentiality obligations no less protective than those herein.

Confidentiality obligations do not apply to information that: (i) is or becomes publicly available through no breach by the Receiving Party; (ii) is rightfully received from a third party without restriction; (iii) is independently developed by the Receiving Party without reference to Confidential Information; or (iv) is required to be disclosed by law, provided notice is given when permissible and disclosure is limited to the extent required.

5. Data Use and Model Training

Client retains ownership of Client Data provided to Provider. Provider will process Client Data only as necessary to perform the services. Provider shall not use Client Data to identify individuals or disclose Confidential Information.

Provider may use de-identified or aggregated outputs derived from Client Data to improve Provider's models or services only with Client's prior written consent. Please indicate selection below:

6. Intellectual Property

Subject to Client's payment in full of all fees due, Provider assigns to Client all right, title and interest in the deliverables specifically and exclusively produced for Client under this Agreement, excluding Provider's pre-existing materials, models, tools, libraries, model weights, training data and know-how, which remain Provider's sole property.

Provider grants Client a non-exclusive, worldwide, royalty-free license to Provider's pre-existing materials only to the extent reasonably necessary to use the deliverables as intended under this Agreement.

7. Warranties; Limitation of Liability; Indemnity

Provider warrants that services will be performed in a professional and workmanlike manner consistent with industry standards. EXCEPT AS EXPRESSLY PROVIDED IN THIS AGREEMENT, PROVIDER DISCLAIMS ALL OTHER WARRANTIES, EXPRESS OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.

Except for liability arising from gross negligence, willful misconduct, or breach of confidentiality or intellectual property indemnities, neither party's aggregate liability for claims arising out of this Agreement will exceed the total fees paid by Client to Provider under this Agreement in the twelve months preceding the claim.

Each party shall indemnify the other against third-party claims arising from the indemnifying party's breach of this Agreement, negligence, or willful misconduct.

8. Governing Law

This Agreement will be governed by and construed in accordance with the laws of the state identified below, without regard to conflict of laws principles.

9. Entire Agreement; Amendment

This Agreement, including any appendices, statements of work and written amendments signed by both parties, constitutes the entire agreement between the parties with respect to the subject matter hereof and supersedes all prior and contemporaneous agreements, proposals and communications, whether oral or written. No amendment will be binding unless in writing and signed by authorized representatives of both parties.

10. Notices

Notices will be in writing and delivered to the addresses set forth above or to such other address as either party designates by written notice. Notices are effective upon receipt.

11. Miscellaneous

If any provision of this Agreement is held unenforceable, the remainder of the Agreement will continue in full force and effect. No waiver of any breach will be deemed a waiver of any other or subsequent breach. The parties are independent contractors and not partners or agents.

Client Name:

By:

Date:

Provider Name:

By:

Date:

Enter text✕

What the Business AI Document Is and Who It Serves

The Business AI Document is a standardized record that captures an organization's use, governance, and risk assessment of artificial intelligence systems in commercial operations. It documents system purpose, data sources, model versioning, performance metrics, access controls, and approval authorities, and includes operational safeguards, monitoring plans, and compliance checklists. The document supports procurement reviews, internal audits, regulatory disclosures, and vendor management by creating a consistent, auditable trail. It is intended to assist legal, IT, and compliance teams with transparency, accountability, and repeatable decision-making when deploying or managing AI tools across business processes.

Why a Formal Business AI Document Matters

A Business AI Document reduces ambiguity by recording system intent, data provenance, testing results, and governance decisions. It helps meet regulatory expectations under ESIGN-consistent recordkeeping, supports audits, clarifies responsibilities, and provides a defensible record for operational and compliance reviews.

Why a Formal Business AI Document Matters

Teams and Roles That Commonly Complete This Document

Typical teams that complete or review a Business AI Document include legal, compliance, privacy, IT, and business unit owners.

  • Legal and contract teams: verify clauses, liability, and vendor contract alignment.
  • IT and security teams: assess data flows, access controls, and update processes.
  • Business owners and product managers: define purpose, KPIs, and acceptable risk.

External reviewers may include auditors, regulators, and procurement when vendor or compliance considerations are material.

Primary Organizational Profiles Involved

CISO

Responsible for validating security controls, data handling, and access management for AI systems. The CISO documents encryption, retention, incident response plans, and coordinates technical attestations to support audit findings and compliance reporting under HIPAA, SOC 2, and applicable state laws.

General Counsel

Oversees legal risk, contract language, and regulatory obligations. The General Counsel reviews liability clauses, ensures consumer disclosures meet ESIGN requirements, advises on state-specific exceptions, and documents approvals needed for deployment or public disclosures.

Essential Sections to Include in a Professional Document

A professional Business AI Document should include governance, technical, legal, and operational sections that enable consistent assessment and regulatory readiness.

Executive Summary

Summarize the AI system purpose, business benefits, known limitations, primary data sources, and a concise statement of risk level and required approvals to provide context for nontechnical reviewers.

Data Provenance

Document origin of training and inference data, transformation steps, labeling methods, third-party data provider contracts, and metadata including timestamps and sample sizes to support reproducibility and regulatory auditability.

Model Performance

Include evaluation metrics across representative test sets, performance over time, calibration reports, fairness and bias assessments, and thresholds for acceptable degradation requiring retraining or deployment rollback procedures.

Security Controls

List access controls, encryption standards for data at rest and in transit, logging and monitoring practices, incident response procedures, and vendor security attestations such as SOC 2 or ISO 27001 where available.

Compliance Mapping

Map applicable legal and regulatory obligations, including ESIGN, UETA, HIPAA, and sector-specific rules; identify required disclosures, consent processes, and retention obligations tied to each requirement.

Change Log

Record model updates, data changes, reviewer names, approval timestamps, effective dates, and rationale for modifications to maintain traceability and support post-deployment validation, audits, and compliance reporting.

Step-by-Step: Preparing and Approving the Document

Follow these steps to complete a Business AI Document that is thorough, auditable, and aligned with compliance and procurement needs.

  • 01
    Scope: Define system purpose, users, and business impact.
  • 02
    Data: List data sources, quality checks, and retention policy.
  • 03
    Testing: Record evaluation metrics, bias assessments, and thresholds.
  • 04
    Approvals: Capture sign-off names, roles, and effective dates.

Configuring a Digital Review and Approval Workflow

Configure a digital workflow for the Business AI Document to ensure consistent routing, authentication, and auditable records across teams and vendors.

Field Configuration
Routing Sequential approval by role-based reviewers
Authentication Email, SMS code, or stronger MFA
Templates Reusable template with conditional fields
Audit Trail Immutable log with timestamps and IP addresses

Typical Workflow from Draft to Archived Record

Typical workflow for creating, reviewing, and approving a Business AI Document across teams and vendors.

  • Draft: Author compiles system description and metrics.
  • Review: Technical and legal teams validate content and controls.
  • Sign: Authorized signers execute the document with dates.
  • Store: Retain records per legal retention schedule.

Platform Capabilities to Support Business AI Documents

Practical platform requirements for eSigning, storage, and integrations when managing Business AI Documents across teams and external vendors.

  • File Formats: PDF, DOCX, HTML supported
  • Integrations: Salesforce, NetSuite, Google Workspace, Microsoft 365
  • Authentication: Email, SMS, KBA, SSO options

Key Security and Compliance Attributes to Record

Encryption: TLS 1.2/1.3 in transit; AES-256 at rest
Certifications: SOC 2 Type II, ISO 27001, PCI DSS
HIPAA: BAA required for protected health data
21 CFR: Compliant for FDA records when enabled
ESIGN/UETA: Legal e-signature framework compliance
Accessibility: WCAG 2.0 Level AA support

Common Preparation Pitfalls to Avoid

  • Incomplete data provenance entries make it difficult to trace training data sources and justify model decisions during audits or vendor assessments.
  • Failing to version models and record performance benchmarks can undermine repeatability and make regression analysis impossible after updates.
  • Using vague governance language without defined approval thresholds often delays deployment and obscures who can authorize production changes.
  • Neglecting to define retention periods for datasets and logs increases legal risk and may violate regulatory requirements such as HIPAA or IRS rules.

Potential Penalties and Risks from Errors

Tax Filing Penalties: 1099 late penalties $60–$330 per form
Intentional Disregard: Penalties $660+ per form, no cap
I-9 Violations: Paperwork fines $281–$2,789 per violation
Contract Risk: Ambiguous AI outputs can create liability
Data Privacy: CCPA/GDPR exposures for personal data
Operational Risk: Model drift leads to incorrect decisions

Baseline Pricing and Capability Comparison for eSignature Providers

The table compares baseline pricing and core capabilities across common eSignature providers to inform platform selection for Business AI Document workflows.

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 trial Varies Varies Varies Varies
Bulk Send Yes Yes Yes Yes No
Audit Trail Yes Yes Yes Yes Yes
HIPAA Compliant Yes Yes Yes No No
Envelope Cap No cap 100 envelopes/user/year Varies Varies Varies

Frequently Asked Questions and Practical Answers

Answers to common questions about preparing, signing, and managing Business AI Documents, including eSignature, notarization, and compliance considerations.


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