Enterprise AI spend has gone from rounding error to board-level line item in 24 months. We bring SAM discipline to the new generation of vendors.
Microsoft Copilot, ChatGPT Enterprise, Claude for Enterprise, Gemini, plus dozens of vendor-embedded AI features in Salesforce, ServiceNow, Adobe, Atlassian — each charges separately and the line items are not small. The challenge is not that AI is expensive. It's that AI spend is fragmented across procurement, IT, R&D, marketing, and shadow IT — accumulating faster than any procurement function was designed to track.
Pricing models don't look like software. Tokens, agents, tasks, monthly active users, workflow runs — comparing two AI vendors on cost is rarely like-for-like. Forecasting next quarter's bill requires usage visibility procurement doesn't have.
And the contracts contain risks legal teams haven't seen before — data retention, model training rights, output ownership, IP indemnification, regional data residency. These weren't standard concerns in a Microsoft EA. They're now central to every AI agreement.
From estate discovery to sustained governance — every action is sequenced, time-boxed, and data-driven. The spend gauge tracks reduction in real time.
Cross-references finance systems, SSO logs, expense reports, and SaaS platforms to surface every active AI tool — including the ones procurement doesn't know about yet.
Per-seat and per-token analytics identify dormant licences and over-provisioned tools — giving you the data to harvest licences without cutting access to genuine power users.
Procurement workflows, usage monitoring, and policy guardrails that prevent the next wave of fragmented buying — integrated with existing IT governance and renewed quarterly.
Every AI spend engagement covers these areas — adapted in scale and depth to your environment, contracts, and timeline.
AI Spend Management engagements typically run 8–14 weeks for an initial programme, with managed service options for ongoing governance.
Free no-obligation consultation. We agree which AI tools are in scope, which spend categories matter most, and what governance maturity you're aiming for.
Complete AI estate map built. Contract risks surfaced. Prioritised remediation list produced. By the end of this phase, you have a single source of truth for AI spend across the enterprise.
Execution. Licence harvesting, contract renegotiation, vendor consolidation, and consumption optimisation for usage-priced services. Each move quantified and tracked.
Hand-over of the AI procurement governance model. Optional managed service maintains visibility, monitors emerging tools, and reports monthly on AI spend and value capture.
AI Spend Management is the cost discipline. AI Adoption is the value discipline. Most enterprises need both — they answer different questions for the CFO.
Spend management answers "is this contract worth less?" — adoption answers "is this contract worth it?" Use-case prioritisation, value measurement frameworks, change management, governance.
Learn moreEmbedded AI inside ServiceNow, Salesforce, Microsoft 365, Adobe — every major SaaS vendor is now an AI vendor too. We manage the AI line items at renewal alongside the wider SaaS estate.
Learn moreMost CFOs we speak with can't name their top five AI vendors by spend. The free consultation is exactly that — 30 minutes with a senior consultant to understand your AI footprint, surface the contract risks worth knowing about, and indicate the savings range we typically capture.