Cost management / FinOps
What are we spending, where is it going, and how can we optimize it?
WHY CONSUMPTIONIQ
AI cost visibility is
only the beginning.
Most platforms answer one part of the AI management problem. ConsumptionIQ is designed for the CFO's full mandate: understand consumption, preserve financial control, produce audit-ready evidence, and prove the return.
We complement the technical stack by connecting how AI operates to how the enterprise governs money, authority, and value.
THE MARKET TODAY
Four useful categories.
One finance gap.
Each category solves a legitimate problem. The gap appears when finance needs a single view of cost, control, evidence, and ROI across AI-enabled workflows.
AI observability
Is the application reliable, performant, and producing useful outputs?
AI governance
Are AI systems documented and aligned with policy, risk, and regulatory expectations?
Consulting and assurance
What control framework, testing, and remediation program should we establish?
HIGH-LEVEL COMPARISON
Different lenses on
the same AI estate.
This is a category comparison, not a claim that every vendor has identical capabilities. Product scope varies and is evolving quickly.
| Capability | Cost management | AI observability | AI governance | ConsumptionIQ |
|---|---|---|---|---|
| Token, vendor, and workload spend | Core | Supporting | Supporting | Core |
| Application quality and model performance | Limited | Core | Supporting | Via integrations |
| Enterprise AI inventory and ownership | Partial | Partial | Core | Core |
| Finance workflow and access risk | Limited | Limited | Broad policy | Core |
| Financial control matrix and testing | Limited | Limited | Broad policy | Core |
| Audit evidence and exception tracking | Limited | Technical logs | Broad evidence | Core |
| Cost-to-outcome and realized ROI | Cost focus | Performance focus | Limited | Core |
| CFO, audit committee, and board reporting | Spend focus | Technical focus | Risk focus | Integrated |
Where ConsumptionIQ is different
Other categories help teams optimize infrastructure, inspect applications, or manage enterprise AI policy. ConsumptionIQ focuses on the financial control environment around AI: who owns it, what it can access, what it costs, which controls are operating, what evidence exists, and whether the business case is being realized.
THE CONSUMPTIONIQ LENS
The financial control layer
for enterprise AI.
Consumption
Unify spend, forecasts, budgets, anomalies, owners, and unit economics.
Controls
Map access, approvals, human authority, output validation, and change management.
Evidence
Retain approvals, test results, exceptions, overrides, and remediation history.
Return
Compare realized outcomes with baseline cost, productivity, quality, and risk assumptions.
AVAILABLE NOW
Advisory services
Our AI Controls Assessment and Managed AI Controls services help finance leaders inventory AI, risk-tier use cases, test critical workflows, build the control matrix, quantify economics, and establish an operating cadence.
Explore advisory services →PLANNED PLATFORM
Continuous intelligence
The ConsumptionIQ SaaS platform is being built to make those disciplines continuous: a unified AI inventory, spend intelligence, anomaly monitoring, control evidence, exceptions, and ROI reporting in one finance-oriented command center.
Join the platform waitlist →FREE CFO FIELD GUIDEBuild a stronger AI
Build a stronger AI
control environment.
Get the 12-page CFO's Guide to AI Financial Controls, including a six-domain framework, sample control matrix, scored checklist, and 90-day action plan.
- Identify material AI risks in finance
- Assess 24 practical control practices
- Build a prioritized 90-day action plan