How to Evaluate an AI Vendor in 2026: A Real Procurement Framework
A practical buyer's framework for evaluating AI vendors: SOC 2, DPA, model swap risk, vendor lock-in, hidden token costs, and the contract clauses that matter.
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8 articles tagged enterprise-ai. Browse the full blog.
A practical buyer's framework for evaluating AI vendors: SOC 2, DPA, model swap risk, vendor lock-in, hidden token costs, and the contract clauses that matter.
How AI is changing eDiscovery in 2026: privilege review, document classification, real platforms like Reveal and DISCO, and what litigators need to know.
The real blockers that kill AI deployments after a successful POC: data quality gaps, ops readiness, eval infrastructure, and change management. With fixes.
The most common mistakes when buying AI in 2026: wrong pilot scope, ignoring TCO, no exit clause, and 7 more anti-patterns with real examples and fixes.
Planning AI budgets for 2026: per-team allocation, capex vs opex decisions, chargeback models, and how real organizations are structuring their AI spend.
How to run enterprise AI procurement properly. RFP structure, vendor scorecard, security checklist, pilot metrics, and the mistakes that kill production.
How to calculate real ROI on internal AI tools in 2026. Time-saved formulas, productivity measurement, vs replacement framing, and case studies with real.
Run a structured 90-day AI agent pilot. Includes baseline metrics, week-by-week milestones, success criteria, and kill conditions that actually protect your.