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Donnerstag, 15. Januar 2026

AI Vendor Due Diligence Checklist

Component: [Component name from framework]

Vendor: [Vendor name]

Due Diligence Lead: [Name]

Date Started: [Date]

Target Completion: [Date]


Instructions

This checklist is designed to be used after you have shortlisted 1-2 vendors and need to conduct deep-dive due diligence before making a final selection.

The checklist is organized by due diligence type and mapped to the Periodic Cube of AI framework dimensions.

Status Key:

  • ✅ Complete
  • 🔄 In Progress
  • ⏸️ Blocked/Waiting
  • ❌ Not Started
  • N/A – Not Applicable

Part 1: Technical Due Diligence

Primary Framework Dimensions: TRL, Build vs Buy, Human Intensity

Responsible Team: [e.g., ML/AI Engineering, Platform Engineering]

#ActivityStatusOwnerDue DateNotes / Evidence
1.1Review technical architecture documentation
1.2Conduct Proof of Concept (PoC) with real data
1.3Test API performance and latency
1.4Evaluate integration complexity with existing systems
1.5Assess scalability through load testing
1.6Review data model and schema compatibility
1.7Test disaster recovery and backup/restore procedures
1.8Evaluate monitoring and observability capabilities
1.9Review technical roadmap alignment with our needs
1.10Assess vendor’s technology stack and dependencies

Technical Due Diligence Summary

Key Findings:

Technical Risks Identified:

Mitigation Strategies:


Part 2: Security Due Diligence

Primary Framework Dimensions: Criticality, SFIA Category (Strategy and Governance)

Responsible Team: [e.g., Security/Compliance, InfoSec]

#ActivityStatusOwnerDue DateNotes / Evidence
2.1Review SOC 2 Type II report (or equivalent)
2.2Verify ISO 27001 or other security certifications
2.3Conduct security questionnaire assessment
2.4Review data encryption standards (at rest and in transit)
2.5Evaluate access control and authentication mechanisms
2.6Review incident response and breach notification procedures
2.7Assess vulnerability management and patching process
2.8Review third-party security audit results
2.9Conduct penetration testing (if applicable)
2.10Evaluate data residency and sovereignty compliance
2.11Review vendor’s security training for employees
2.12Assess supply chain security risks

Security Due Diligence Summary

Key Findings:

Security Risks Identified:

Mitigation Strategies:

Required Contract Clauses:


Part 3: Compliance & Legal Due Diligence

Primary Framework Dimensions: Criticality, SFIA Category (Strategy and Governance)

Responsible Team: [e.g., Legal, Compliance, Privacy]

#ActivityStatusOwnerDue DateNotes / Evidence
3.1Review Data Processing Agreement (DPA)
3.2Verify GDPR compliance (if applicable)
3.3Verify CCPA compliance (if applicable)
3.4Review industry-specific compliance (HIPAA, SOX, etc.)
3.5Assess data retention and deletion policies
3.6Review subprocessor list and data flow
3.7Evaluate intellectual property rights and ownership
3.8Review contract terms and conditions
3.9Assess liability and indemnification clauses
3.10Review termination and data portability terms
3.11Verify insurance coverage (E&O, cyber liability)
3.12Review SLA terms and remedies

Compliance & Legal Due Diligence Summary

Key Findings:

Compliance Gaps Identified:

Required Contract Modifications:

Legal Risks:


Part 4: Financial Due Diligence

Primary Framework Dimensions: Cost Structure, TRL

Responsible Team: [e.g., Finance, Procurement]

#ActivityStatusOwnerDue DateNotes / Evidence
4.1Review vendor’s financial statements (if available)
4.2Assess vendor’s funding and runway (for startups)
4.3Verify pricing model and calculate 3-year TCO
4.4Identify all potential hidden costs
4.5Negotiate volume discounts and enterprise pricing
4.6Review payment terms and conditions
4.7Assess price escalation clauses
4.8Evaluate cost predictability and optimization tools
4.9Compare pricing against competitors
4.10Review audit rights for usage-based pricing

Financial Due Diligence Summary

Key Findings:

Financial Risks Identified:

Negotiation Priorities:

Budget Impact:


Part 5: Operational Due Diligence

Primary Framework Dimensions: Human Intensity, Org. Ownership, SFIA Category

Responsible Team: [e.g., Operations, Platform Engineering]

#ActivityStatusOwnerDue DateNotes / Evidence
5.1Assess implementation timeline and effort
5.2Evaluate training requirements for our team
5.3Review ongoing operational burden (FTE hours/week)
5.4Test support responsiveness and quality
5.5Evaluate documentation quality and completeness
5.6Assess change management and release process
5.7Review customer success and account management model
5.8Evaluate professional services availability
5.9Test user experience and interface usability
5.10Assess automation capabilities vs. manual tasks

Operational Due Diligence Summary

Key Findings:

Operational Risks Identified:

Resource Requirements:

Training Plan:


Part 6: Reference Checks

Primary Framework Dimensions: TRL, Criticality

Responsible Team: [Cross-functional]

#Reference CustomerIndustryUse Case SimilarityStatusKey Takeaways
6.1(1-5)
6.2(1-5)
6.3(1-5)

Reference Check Questions Template

Use these questions during reference calls:

  1. How long have you been using this vendor’s solution?
  2. What was your primary use case and expected outcome?
  3. How long did implementation take? Was it on time and on budget?
  4. What challenges did you encounter during implementation?
  5. How would you rate the vendor’s support and responsiveness?
  6. Have you experienced any major outages or issues?
  7. How has the solution scaled as your usage has grown?
  8. What has been your experience with pricing and cost predictability?
  9. Would you choose this vendor again? Why or why not?
  10. What advice would you give to a new customer?

Reference Check Summary

Overall Sentiment:

Common Themes:

Red Flags:

Positive Highlights:


Part 7: Integration & Implementation Planning

Primary Framework Dimensions: Build vs Buy, Org. Ownership, Human Intensity

Responsible Team: [e.g., Platform Engineering, Application Development]

#ActivityStatusOwnerDue DateNotes / Evidence
7.1Map integration points with existing systems
7.2Identify custom development requirements
7.3Estimate integration effort (person-hours)
7.4Create high-level implementation timeline
7.5Identify dependencies and blockers
7.6Assess data migration requirements
7.7Plan user onboarding and training
7.8Define success metrics and KPIs
7.9Create rollback and contingency plan
7.10Assign roles and responsibilities

Integration & Implementation Summary

Implementation Timeline: [X weeks/months]

Critical Path Items:

Resource Requirements:

Key Dependencies:


Part 8: Risk Assessment & Mitigation

Primary Framework Dimensions: Criticality, TRL, Build vs Buy

Responsible Team: [Cross-functional]

#Risk DescriptionLikelihood (1-5)Impact (1-5)Risk ScoreMitigation StrategyOwner
8.1
8.2
8.3
8.4
8.5

Risk Score = Likelihood × Impact (1-25 scale)

Risk Levels:

  • 1-5: Low Risk (Green)
  • 6-12: Medium Risk (Yellow)
  • 13-25: High Risk (Red)

Risk Assessment Summary

High Risks (13-25):

Medium Risks (6-12):

Overall Risk Rating: [Low / Medium / High]

Go/No-Go Recommendation: [Proceed / Proceed with Conditions / Do Not Proceed]


Part 9: Final Decision Documentation

Executive Summary

Vendor: [Name]

Component: [Name]

Recommendation: [Select / Do Not Select]

Overall Assessment:

[2-3 paragraphs summarizing the due diligence findings and rationale for the recommendation]

Framework Alignment Analysis

Framework DimensionExpected ClassificationVendor AlignmentGap Analysis
Build vs Buy
TRL
Org. Ownership
Cost Structure
Criticality
Human Intensity
SFIA Category

Decision Criteria Met

CriterionWeightMet?Notes
Technical Capabilities☐ Yes ☐ No
Security & Compliance☐ Yes ☐ No
Cost & Pricing☐ Yes ☐ No
Vendor Stability☐ Yes ☐ No
Integration Feasibility☐ Yes ☐ No
Operational Fit☐ Yes ☐ No

Conditions for Approval

[List any conditions that must be met before final contract signing]

Next Steps


Approval Signatures

RoleNameSignatureDate
Due Diligence Lead
Technical Lead
Security Lead
Legal/Compliance
Finance/Procurement
Executive Sponsor

Document Version: 1.0

Last Updated: [Date]

Framework Reference: Periodic Cube of AI multi-dimensional framework