Growing complexity
Roughly 100–2,000 employees, multiple business systems, and AI adoption spreading across teams.
WHO WE SERVE
Enterprise-grade AI control.
Built for growing companies.
You should not need an enterprise governance department to deploy AI responsibly.
ConsumptionIQ gives growing companies the financial controls, auditability, cost visibility, and ROI discipline to scale AI—without building a large internal control infrastructure.
Discuss your AI environment →THE CUSTOMER SWEET SPOT
Complex enough to need control.
Lean enough to need a partner.
ConsumptionIQ is designed first for PE-backed, technology-enabled, and growth-oriented companies where AI is moving into meaningful workflows faster than governance infrastructure can keep up.
Finance-led accountability
A CFO, controller, CIO, or audit leader is accountable for cost, risk, controls, and business value.
AI inside real workflows
Copilots and agents are beginning to touch finance, revenue, customer, procurement, or operating processes.
Limited internal infrastructure
No dedicated AI governance team—and no appetite to assemble a heavyweight enterprise stack.
External expectations
Boards, sponsors, customers, auditors, insurers, or lenders are starting to ask how AI is controlled.
A mandate to prove value
Leadership wants AI adoption to scale, but needs credible cost allocation, operating metrics, and ROI.
WHEN TO CALL US
The control conversation should start before the agent reaches the ledger.
Most companies do not need more AI policy slides. They need a practical operating model before AI begins making—or materially influencing—financial and operational decisions.
- 1
Rolling out Microsoft Copilot, ChatGPT Enterprise, Gemini, or department-specific AI tools
- 2
Deploying an agent that can read from or act inside an ERP, CRM, billing, payroll, or banking workflow
- 3
Discovering unapproved AI tools, fragmented subscriptions, or unexpected consumption
- 4
Preparing for an audit, financing, acquisition, cyber-insurance review, or customer diligence request
- 5
Being asked by the board or sponsor to quantify AI investment and realized return
PLANNED MODULAR PLATFORM
Start with the control foundation.
Add what your environment needs.
A common control system creates consistency. Modular capabilities let each customer add depth as AI adoption, risk, and operating complexity grow.
CORE PLATFORM
AI Control Foundation
The system of record for enterprise AI use: inventory, ownership, use-case intake, risk tiering, control requirements, issues, and executive visibility.
- AI inventory and ownership
- Use-case intake and approvals
- Risk tiers and control library
- Issues and remediation
- Executive control dashboard
OPTIONAL MODULES
Consumption Intelligence
Connect vendor, subscription, API, token, and workload costs to budgets, owners, forecasts, anomalies, and unit economics.
Workflow & Access Controls
Map sensitive data, system permissions, agent authority, human approvals, validation steps, and segregation of duties.
Evidence & Audit Readiness
Collect approvals, reviews, test results, exceptions, overrides, changes, and remediation history in an audit-ready record.
ROI & Value Management
Establish baselines and compare projected benefits with realized capacity, cycle time, quality, savings, revenue, and risk outcomes.
Managed AI Controls
Add expert operating support for use-case reviews, inventory certification, exception monitoring, evidence collection, and executive reporting.
AVAILABLE NOW
Controls as a service
Start with an AI Controls Assessment, then retain ConsumptionIQ to operate the control cadence while your team scales adoption.
Explore advisory and managed controls →COMING NEXT
Software that makes it continuous
The planned ConsumptionIQ platform will automate inventory, evidence, monitoring, consumption intelligence, and ROI reporting—while preserving access to managed expertise.
Join the platform waitlist →ENTERPRISE-GRADE FOR ALLScale AI without having to build
Start a conversation →