// AI COST MANAGEMENT HEALTHCHECK
You can see the AI bill. You can't see what is driving it.
AI spend is scaling faster than the controls around it. A fast, independent review of where your AI spend actually goes and how well it is governed.
// WHY AI COSTS ESCALATE FASTER THAN GOVERNANCE
The problem is not the technology. It's that spend is outrunning governance.
The cost of AI goes beyond traditional per-seat software licensing into usage-based accounting. Finance may agree budgets or set caps, but teams can burn through them in days, with every agent run, every chat and every change made.
The providers built the model that way: cheap to trial, easy to embed, and difficult to walk back once it is an integral part of how your teams work.
The AI cost management healthcheck gives you the picture your bill does not: where the money goes, what is driving it, and what to do first.
// WHY YOU SHOULD ACT NOW
Most AI budgets are wrong before the year starts.
Uber burned through its entire 2026 AI budget in under four months, with token spend on agentic coding tools smashing through provisioned budgets before spend controls were established. Uber is not an outlier. Across 396 organisations, only 11% can forecast their AI costs to within 10% of actual spend, down from 15% the year before.
Over 80% of UK IT leaders saw unplanned AI cost rises in 12 months.
Only 45% of engineers understand the cost of what they build.
Say an unexpected AI cost materially altered a business decision in the past year. 40% needed board-level escalation.
Sources: Mavvrik and Benchmarkit, 2026 State of AI Cost Governance Report (396 organisations, April to May 2026) · Asana 2026 · Harness 2026
// WHAT WE ASSESS
Six dimensions of AI FinOps maturity.
Built on our AI FinOps Framework, we assess your AI usage across six core dimensions, pinpoint the key spend drivers and set out a roadmap to optimise your investment.
Visibility
What AI is costing you, by whom, and for what.
Risk and compliance
What lock-in, model failure or non-compliance will cost.
Governance
How AI spend is authorised, allocated and accounted for.
Optimisation
Cost per unit of AI value, without degrading quality.
Value measurement
AI spend tied to outcomes, not just tokens consumed.
Enablers
The tooling, ownership and rituals that make it stick.
// WHAT YOU GET
Three outputs you can act on.
Your maturity score
Where you sit across all six domains, benchmarked against organisations like yours.
Your cost-risk hotspots
The few exposures driving most of your spend and most of your risk.
A sequenced improvement plan
Prioritised actions to move up the maturity curve, spend wisely and get more value from every pound.
// WHY AXIOLOGIK
The people selling you AI will not tell you to spend less on it.
Unlike cloud vendors, model providers and tooling platforms, we are not incentivised by your AI consumption.
Independent of the platforms
Cloud providers and tooling vendors profit from the spend they are helping you measure. Their advice stops at the dashboard.
We ask the harder questions
Who owns the AI budget, which tools to consolidate, and where higher spend genuinely delivers more value.
Able to deliver, not just diagnose
A multi-award-winning, B Corp-certified engineering consultancy that turns findings into governance, controls and outcomes your teams can run.
// LET'S TALK
Optimise and govern your AI spend.
Start with what is actually driving your AI spend, then prioritise the investment that delivers.