Research

Procurement Contracting

9 documents

AI Governance Committees: The Approval Bottleneck Nobody Budgeted For

The fundamental problem is a cadence mismatch. AI vendors release capability updates on 6–12 week cycles. Foundation models turn over every 12–18 months.

AI Indemnity Ceilings: What Your Vendor Actually Covers When AI Gets It Wrong

The indemnification programs published by major AI vendors differ in scope, conditions, and exclusions more than their marketing suggests.

AI Vendor Insurance Certification: The Coverage Gap Your Procurement Team Hasn't Priced

Enterprise procurement has a standard playbook: before a vendor touches production data, collect a certificate of insurance showing general liability, professional E&O, and cyber coverage at the limit

AI-Specific Vendor Security Questionnaires: The New Gate That Stalls Every AI Procurement

The SIG is the dominant third-party risk management questionnaire across financial services, healthcare, and large enterprise.

The DPA Problem: Why AI Vendor Data Processing Addendums Are the New Procurement Bottleneck

Enterprise legal teams have converged on six DPA provisions that generate the most friction in AI vendor negotiations.

Evaluating AI Model "Openness": A Procurement Framework for GCs and CTOs

The AI model market has developed a binary vocabulary — open versus closed, open source versus proprietary — that does not map to enterprise procurement reality.

Model Risk Questionnaires: The Paperwork Layer That Stalls Every AI Vendor Deal at Banks and Insurers

SR 11-7 does not prescribe a standard questionnaire.

Open-Source AI Licensing: The Hidden Contract Risk in "Free" Models

The term "open source" has become marketing language in the AI model ecosystem.

Sandbox to Production: Why Your AI Pilot Takes 8 Months to Ship (and What Actually Gates It)

The enterprise AI conversation in 2025–2026 has shifted from "are you experimenting?" to "have you shipped?" The answer, for most organizations, remains no.