AIDM - The deep dive
01 / INVISIBLE
Spend hides everywhere
AI cost is spread across dozens of tools, licences and teams. There is no single view, and usually no single owner. What you cannot see, you cannot govern.
02 / UNPREDICTABLE
Costs move with usage
Token and consumption pricing means spend follows activity, not budgets. A successful pilot can become an unbudgeted line on the P&L overnight.
03 / UNACCOUNTABLE
The bill, not the value
You can see the invoice. You cannot see whether the spend created value, or which business unit, application or outcome it belongs to.
AI Demand & Cost Management (AIDM) provides the visibility and control needed to forecast demand, govern and manage consumption and allocate AI costs across users, business units, applications and AI agents, and importantly, help organisations move beyond tracking spend to understanding the business value AI can and should deliver.
WHY NOW
FinOps looks back. AIDM looks forward.
Traditional FinOps was built to explain cloud bills after the money was spent. AI does not give you that luxury.
Traditional FinOps
Explains the past
Reports historical cloud expenditure. Useful for reconciliation, but reactive. By the time the report lands, the spend has already happened.
AI Demand & Cost Management
Governs the future
Models future demand, tests investment scenarios and optimises consumption before costs are incurred, so you scale AI with control rather than surprise.
THE METHODOLOGY
One Control Layer Across AI Demand, Consumption, Platforms and Governance
AIDM brings four disciplines together in a single platform, so finance and technology lead from the same numbers.
FRAMEWORK
Build the foundation
Create a complete AI cost model that captures platforms, use cases, consumption, infrastructure, people, governance and support to establish a single source of truth.
DRIVERS
Understand what drives cost
Identify the factors influencing AI spend, including demand growth, user adoption, application rollout and ongoing consumption.
ADOPTION
Plan for growth
Model how AI adoption will evolve from pilot to enterprise scale, enabling accurate forecasting and investment planning.
INFRASTRUCTURE
Forecast the platform
Estimate future infrastructure and managed service requirements across AI platforms, compute, storage, networking, monitoring and data services.
RESOURCES
Plan your workforce
Forecast the AI skills and resource capacity needed as adoption grows, from engineers and architects to governance specialists.
GOVERNANCE
Stay in control
Account for the ongoing costs of security, compliance, responsible AI, model monitoring and governance throughout the AI lifecycle.
FORECASTING
Measure what matters
Continuously forecast AI demand, approvals, project delivery, consumption and realised business value through the AIDM platform.
THE OUTCOME
From tracking spend to proving value
AIDM brings four disciplines together in a single platform, so finance and technology lead from the same numbers.
Scale AI with confidence, not caution
Move forward on Copilot, GenAI and agents knowing what each will cost and return.
Turn an unpredictable cost into a governed line
Give the CFO a forecastable, allocatable AI line on the P&L, not a monthly surprise.
Show the board the return, not just the bill
Connect AI consumption to business outcomes, and defend the investment with evidence.
HOW CLIENTS USE US
Wherever AI scales, AIDM keeps it governed
The same platform, applied across the moments where enterprise AI spend runs ahead of control.
COPILOT ROLLOUT
Deploy Microsoft Copilot without licence sprawl
Forecast seat and usage costs, then govern them as adoption grows.
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Model seat and consumption cost before rollout
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Identify low-value or dormant licences
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Allocate spend by department and role
GENERATIVE AI APPS
Scale GenAI applications and protect margin
Understand unit economics before launch, not after the bill.
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Model demand and cost per feature or customer
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Set consumption guardrails and thresholds
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Protect gross margin as usage climbs
ENTERPRISE AI AGENTS
Govern autonomous consumption in real time
Keep agentic AI inside financial and policy limits as it acts.
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Govern spend before an agent fleet runs it up
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Attribute agent cost to task and outcome
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Alert and cap before thresholds are breached
WHY ASV PLATFORMS
Purpose-built for AI, not retrofitted cloud FinOps
The disciplines that governed cloud were built for a slower, more predictable world. AI needs a platform designed for it.
Built for AI from the ground up
Designed around token, consumption and agent economics, not adapted from legacy cloud cost tooling.
Forward-looking by design
Forecasting and scenario modelling at the core, so you decide before you spend, not explain after.
Finance-grade, IT-ready
Governance the CFO can trust and the CIO can act on, from one shared source of truth.
We're good with numbers
50,000
This is a space to share more
3.4 Million
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100,000
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LET'S DISCUSS
See what your AI will cost, before it costs you.
Book a confidential AI cost exposure review. In one session, with former CIOs and board advisors, we map your current and projected AI spend, show where it is unmanaged, and quantify the value at stake. No obligation.
THE CHALLENGE
Three blind spots in enterprise AI
As adoption accelerates, most organisations are scaling AI faster than they can see, govern or account for what it costs.