In-depth, independent market analyses, pricing indices, autonomy benchmarks, and strategic frameworks for CPOs, sourcing directors, and AP leaders. No pay-to-play. Updated continuously.
Original test methodology + headline stats.
Original survey: adoption rates, barriers, budget plans. Companion data to our State of Procurement AI 2026 report — link it prominently.
Payback periods, savings ranges by category.
Savings % by category from real events.
Clause/obligation extraction accuracy by tool.
UNSPSC mapping accuracy across tools.
Days-to-value by tool type and size.
Lead time on disruptions, false-positive rates.
Touchless % by platform, real data.
Original data on discounts off list price by tier/category. Companion to our existing Pricing & TCO Index — link, don't duplicate it.
Data on how much human oversight each tool needs. Companion to our existing Autonomy Index — link, don't duplicate it.
Touchless rates, exception causes, trends.
Go-live timelines by tool and scope.
Answer accuracy across copilots, test set.
Sizing model, CAGR, segment breakdown.
Which procurement AI capabilities are table stakes, which still differentiate, and how far agentic AI has really spread — capability prevalence across all 41 reviewed platforms, with a feature matrix and agentic-adoption table.
How procurement AI platforms connect to SAP, Oracle, Workday, Dynamics and NetSuite in 2026 — connector-coverage matrix, integration-factor scores, native vs iPaaS vs custom patterns, and why integration depth is the decisive selection factor.
All 41 procurement AI tools sorted into 10 segments across three macro-zones — enterprise source-to-pay suites, best-of-breed specialists and the operational financial edge — with a full vendor matrix, the pricing architecture of the market, segment leaders and white-space analysis.
How the supplier risk AI market is structured in 2026 — Resilinc, Interos, Certa and EcoVadis compared on multi-tier mapping, continuous monitoring, ESG ratings, third-party-risk orchestration, pricing and total cost of ownership.
The data foundation procurement AI runs on — a five-dimension readiness scorecard, spend taxonomy strategy (UNSPSC vs eCl@ss), supplier master harmonisation, a four-layer reference architecture and ERP integration patterns, grounded in 41 independent tool scores.
How the invoice and AP automation AI market is structured in 2026 — Tipalti, Stampli, Vic.ai and Basware compared on touchless processing, ERP coverage, global payments, pricing and total cost of ownership.
How the intake-to-procure and orchestration AI market is structured in 2026 — Zip, Tonkean, ORO Labs and Tropic compared on scores, adoption dynamics, pricing and total cost of ownership for procurement teams.
How the spend analytics AI market is structured in 2026 — Sievo and SpendHQ positioning, classification accuracy, embedded Coupa and SAP Ariba analytics, plus pricing and total cost of ownership for procurement teams.
How the negotiation and sourcing AI market is organised by autonomy and use case in 2026 — Pactum, Keelvar, Arkestro and Fairmarkit compared on scores, pricing, autonomy depth and total cost of ownership.
The chief procurement officer's agenda for AI in 2026 — the operating model (centre of excel