Know what AI really costs
Establish a consolidated baseline across agreed licences, consumption, infrastructure and operating cost — mapped to use cases and accountable owners where the data allows.
Executive Shield AI Value Control connects AI spend, consumption and adoption to accountable owners, measurable business outcomes and board-ready investment decisions.
Go beyond licences, tokens and native usage dashboards. Build a defensible view of what your AI estate costs, where value is emerging, and where budget is being consumed without sufficient evidence.
Most organisations can see invoices, licence counts and parts of their AI consumption. What leadership often cannot see is whether that spend is tied to real adoption, a named owner and a measurable business outcome.
Paid access remains assigned without clear evidence of role fit, adoption or business benefit.
Agents, APIs, credits and cloud resources scale faster than ownership, thresholds and review routines.
Projects continue because they are active — not because the value has been evidenced.
AI Value Control turns fragmented financial and usage signals into repeatable portfolio decisions.
Establish a consolidated baseline across agreed licences, consumption, infrastructure and operating cost — mapped to use cases and accountable owners where the data allows.
Define the baseline, intended outcome, measurement method and confidence level for priority AI use cases before relying on ROI claims.
Apply consistent criteria to scale, optimise, redesign, hold or retire use cases — with documented rationale and ownership.
Every priority use case should end in a decision — not another dashboard.
A controlled view of the agreed cost and consumption categories, including visible data gaps and exclusions.
Use cases connected to owner, provider, cost model, budget, status and evidence location.
Priority use cases measured against agreed outcomes, baselines, evidence sources and confidence levels.
Board-ready recommendations showing what to scale, optimise, redesign, hold or retire — and why.
A focused engagement designed to create decision-quality visibility without turning your organisation into a finance transformation programme.
Agree the AI services, reporting period, business units and priority use cases in scope.
Connect available spend and consumption data to systems, owners, environments and business areas.
Define business outcomes, baselines, value indicators, thresholds and confidence levels.
Validate findings with business, finance and technology owners and deliver the decision portfolio.
AI Value Control is designed around the environment your organisation already operates. Where appropriate, governance records can be maintained inside Microsoft 365 using Lists, SharePoint and Power BI, subject to licensing, access and architecture.
Book a 30-minute AI Value Control Call. We will review your current AI estate, reporting sources and the business questions leadership needs answered.