AI FinOps Foundation

The era of flat-rate AI is ending. A structured engagement to bring your AI consumption under control — inventory, tiering strategy, chargeback model, and operating model to keep spend defensible.

Starting from £28,000
Foundation Service

Service Details

AI FinOps Readiness
New Service

AI FinOps Readiness

Control your AI costs before they control you. From AI inventory and tiering strategy to operating model and compliance overlay — build the financial discipline your AI estate needs.


Service Options Kickstart or Deepdive
Audience CIO, CFO & IT Leadership
Outcome AI Inventory, Tiering Strategy & Roadmap
Focus Defensible AI Spend & Governance

The $750 Wake-Up Call: Are You Ready?

When GitHub Copilot moved from a flat monthly subscription to token-based billing, developers saw projected costs jump from $29/month to $750/month overnight. It wasn't an anomaly — it was a preview. Cursor, Claude, ChatGPT Enterprise, Microsoft 365 Copilot, Gemini for Workspace, AWS Q: every major AI product is moving onto the same curve.

This is cloud all over again. In the 2010s, the average enterprise was wasting 30–35% of cloud spend because finance teams treated it like old capex. Most still haven't implemented proper cloud FinOps. Now layer on five to fifteen AI vendors, each with their own metering model, token pricing that varies 8x between model tiers, and agentic workflows consuming tokens for tasks users never see — and you have a far faster, far less visible version of the same problem.

NeuraSec's AI FinOps Readiness engagement gives you what most organisations are missing: complete inventory of what you're running, a tiering strategy that routes workloads to the right model at the right cost, a clear operating model with ownership and accountability, and a 12-month roadmap with quick wins first.

What Your Organisation Gets

AI Inventory & Cost Visibility

A complete picture of every AI tool, vendor, user, and data touchpoint — with real spend mapped to teams and workloads.

Tiering & Routing Strategy

Map workloads to the right model tier — flat-rate, metered cloud, or local inference — so you only pay frontier model prices when the value justifies it.

Target Operating Model

Clear ownership of AI spend, forecasting discipline, showback/chargeback design, and sign-off governance for new agentic deployments.

EU AI Act & Governance Overlay

Cost discipline paired with compliance — because ungoverned spend is also ungoverned risk. We ensure your FinOps model aligns with regulatory obligations.

Why Act Now

Costs Are Already Escalating

Token-based billing has arrived. Every week without visibility is a week of untracked spend, shadow AI, and budget surprises.

The Window Is Short

The organisations that get ahead of this in 2026 will have defensible AI economics by 2027. The rest will spend the same period explaining to their boards why costs tripled.

Shadow AI Is Shadow Spend

When every team can spin up an AI agent that bills by the token, ungoverned experimentation becomes an untracked liability — and a potential data breach.

Regulation Demands Justification

The EU AI Act and ICO guidance may require you to justify not just what AI you use, but how much, and for what. Inventory and governance are no longer optional.

Kickstart Process

1
AI Inventory & Discovery

Map all AI tools, vendors, users, and data touchpoints across the organisation — including shadow AI.

2
Cost Analysis & Benchmarking

Baseline current spend, model consumption trends, and quantify the risk of inaction.

3
Tiering Strategy Design

Define which workloads run on which model tier — flat-rate, metered, or local inference — for optimal cost-value balance.

4
Operating Model & Governance

Establish ownership, forecasting, chargeback design, policy guardrails, and EU AI Act alignment.

5
Roadmap & Delivery

A 12-month sequenced roadmap with quick wins prioritised, costs estimated, and next-step options (including Deepdive if required).

Need deeper analysis, multi-vendor renegotiation support, or local inference architecture design? Ask about our Deepdive option.

Read the Full Guide

Our article — The $750 Wake-Up Call: Why You Need an AI FinOps Strategy Right Now — covers the full picture: the GitHub Copilot billing shift, the cloud FinOps parallel, what good looks like, and how to act before the window closes.

Read the full article
"The organisations that took cloud FinOps seriously before their bills got out of control are the ones with predictable unit economics today. In 2026, the same window is open for AI — and it will close faster. Act now, before the next billing cycle does it for you."
Gary Willock
Gary Willock Founder, NeuraSec

What this doesn't include

General Azure landing-zone design, infrastructure build, or Azure OpenAI deployment plumbing. This is purely an AI FinOps engagement — we focus on the cost layer, not the deployment layer.