--- title: "AI Vendor Due-Diligence Checklist 2026: 6 Domains, 30+ Questions, Buyer-Side Playbook" description: "Six-domain AI vendor diligence: financial, security, privacy, operational, legal, ethics. Plus 30+ specific questions, SOC 2 / ISO 27001 baselines, and review cadence." canonical: https://callsphere.ai/blog/vw9c-ai-vendor-due-diligence-checklist-2026-buyer-side category: "AI Strategy" tags: ["Due Diligence", "Vendor Risk", "Procurement", "Compliance", "Checklist"] author: "CallSphere Team" published: 2026-05-02T00:00:00.000Z updated: 2026-05-08T03:13:40.880Z --- # AI Vendor Due-Diligence Checklist 2026: 6 Domains, 30+ Questions, Buyer-Side Playbook > Six-domain AI vendor diligence: financial, security, privacy, operational, legal, ethics. Plus 30+ specific questions, SOC 2 / ISO 27001 baselines, and review cadence. > Six-domain AI vendor diligence: financial, security, privacy, operational, legal, ethics. Plus 30+ specific questions, SOC 2 / ISO 27001 baselines, and review cadence. ## What happened The 6-domain framework crystallized in 2026 as the de facto AI vendor diligence standard. Aggregated from BotsCrew, Atlas Systems, TrustArc, Sirion, Peony, and Resultsense: **The 6 domains:** 1. **Business and financial stability** — runway, ARR, customer concentration, audited financials. 2. **Information security** — SOC 2 Type II or ISO 27001, pen test summaries, incident response plans, subprocessor list. 3. **Privacy and compliance** — GDPR, CCPA, HIPAA where applicable; data processing agreements; privacy policy. 4. **Operational resilience** — business continuity plan, uptime SLA, RPO/RTO targets, cyber insurance. 5. **Legal and contract risk** — IP ownership of prompts/outputs, data portability on exit, indemnification. 6. **Ethics and ESG** — model training data sourcing, bias auditing, AI ethics committee posture. **Critical questions to ask every vendor:** - "Will our data be used to train your AI models?" - "Where is our data processed and stored — region, provider, encryption at rest and in transit?" - "What third-party AI services do you use? Provide the subprocessor list." - "Provide proof of data isolation between tenants." - "What is your hallucination rate on representative tasks? Show eval methodology." - "What is your incident response timeline and notification SLA?" **Review cadence**: Critical vendors annually at minimum with continuous monitoring; high-risk vendors semi-annually; standard vendors biennially. ```mermaid flowchart TB Buyer[Enterprise buyer] Buyer --> D1[1 Financial · runway · ARR · concentration] Buyer --> D2[2 Security · SOC 2 · pen test · subprocessors] Buyer --> D3[3 Privacy · GDPR · HIPAA · DPA] Buyer --> D4[4 Operational · BCP · uptime · insurance] Buyer --> D5[5 Legal · IP · portability · indemnity] Buyer --> D6[6 Ethics · training data · bias · ESG] D1 --> Score[Risk score] D2 --> Score D3 --> Score D4 --> Score D5 --> Score D6 --> Score Score --> Cadence[Annual / semiannual / biennial] ``` ## Why it matters 40% of 2024-cohort AI startups closed in under 24 months. Buyers who didn't ask financial-stability questions in 2024 are stuck migrating off shut-down vendors in 2026. The cost of a bad vendor choice — sunk integration spend, data extraction risk, retraining users on a replacement — typically runs 3–10x the original contract value. The 6-domain framework adds AI-specific gates to traditional vendor diligence: training data provenance, hallucination rate disclosure, model isolation, and tenant data segregation. These didn't exist in pre-2023 vendor diligence and are now non-negotiable for AI vendors. ## CallSphere context CallSphere ships an enterprise diligence packet on request. Every domain has a documented answer: - **Financial**: 50+ live customers across 6 verticals, transparent $149/$499/$1,499 pricing, no per-token surprise billing, 4.8/5 rating, 14-day no-card trial proves trial-to-paid conversion. - **Security**: tenant-isolated data, audit logs on every tool call across 90+ tools, configurable encryption, security review documentation. - **Privacy**: per-tenant data residency, healthcare vertical built BAA-aligned for HIPAA, subprocessor list available under NDA. - **Operational**: 99.9% uptime target, structured incident response, named CSM on enterprise tier. - **Legal**: standard MSA with explicit data portability clauses; customer owns prompts and configurations. - **Ethics**: documented model selection criteria across our 37 agents and 115+ DB tables; per-task model routing transparency. The 22% recurring affiliate program is also itself a diligence signal: vendors with healthy retention can sustain 22% recurring payouts; vendors with churning customers cannot. ## Implications 1. By Q4 2026, RFPs without a 6-domain section will be rare in enterprise AI procurement. 2. Vendors that publish a diligence-ready packet pre-emptively will close 20–30% faster than vendors that don't. 3. The most-asked question of 2026 will be "will you train on our data?" — vendors that say "no by default, opt-in only" win. 4. Quarterly material-change disclosures will become contractual, not optional. ## FAQ **Q: What if a vendor refuses to answer financial-stability questions?** A: That's a hard no. Either they have something to hide or they don't take procurement seriously. Both are disqualifying. **Q: Should we accept SOC 2 Type I or only Type II?** A: Type II for production deployments. Type I is acceptable for pilot phases under 90 days. **Q: How often should we re-run diligence?** A: Annually for critical vendors, semi-annually for high-risk, biennially for standard. CallSphere's enterprise tier ships this cadence. **Q: What's the most overlooked diligence area?** A: Subprocessor lists. Many AI vendors use 3–6 third-party AI services without disclosing them. Always ask. [Request enterprise diligence pack](/contact) · [14-day trial](/trial) · [Pricing](/pricing). ## Sources - [BotsCrew: AI Vendor Due Diligence Checklist](https://botscrew.com/blog/ai-vendor-due-diligence-checklist/) - [Atlas Systems: AI Vendor Risk Assessment Questionnaire 2026](https://www.atlassystems.com/blog/ai-vendor-risk-questionnaire) - [TrustArc: AI Supply Chain Risk Vendor Due Diligence](https://trustarc.com/resource/ai-supply-chain-risk-vendor-due-diligence/) - [Peony: Vendor Due Diligence Checklist 6-Domain Framework](https://www.peony.ink/blog/vendor-due-diligence-checklist) - [Security Boulevard: AI Due Diligence Checklist 2026](https://securityboulevard.com/2026/04/ai-due-diligence-checklist-2026-how-to-avoid-ai-implementation-failures-security-risks-and-cost-overruns/) --- Source: https://callsphere.ai/blog/vw9c-ai-vendor-due-diligence-checklist-2026-buyer-side