AI Governance & Cost Control

AI governance and cost control as one system.

Cyryx Labs designs governance and cost control as the same layer: policy gates, evaluator coverage, mission ledgers, and per-outcome cost tracking. The result is an AI footprint you can explain to a board, an auditor, and a finance team — and tune deliberately instead of reactively.

What this is

A combined governance and FinOps engagement for AI workloads. We instrument the systems you already run, surface where governance is thin and where spend escapes, and ship the gates, dashboards, and policies to close the gap.

Who it's for

  • Leaders whose AI spend is growing faster than their understanding of where it goes.
  • Teams in regulated industries needing real governance evidence, not screenshots.
  • Companies preparing for a security review, audit, or board scrutiny of AI usage.

What we build

  • An AI usage inventory and policy baseline.
  • Command gates and approval workflows for sensitive actions.
  • Cost-per-outcome tracking, not just cost-per-call.
  • Mission ledgers with retention policies for audit.
  • Quarterly governance and cost review packages owned by your team.

How we work

  1. Map AI surfaces, owners, models, and current controls.
  2. Identify the highest governance and cost risks.
  3. Implement gates, dashboards, and policies prioritized by risk.
  4. Hand off operating model, alerts, and review cadence.

Outcomes we optimize for

  • A defensible answer to 'how is AI governed here?'
  • Visibility into the unit economics of each AI workflow.
  • Lower likelihood of an AI-driven incident.
  • A predictable, reviewable AI cost profile.

Built on Cyryx infrastructure

Every Cyryx Solutions engagement is built on the same primitives as our flagship MAAX Studio and informed by ongoing work in the Cyryx Applied AI Lab: command gates, goal-grounded generation, mission ledgers, and explicit human review checkpoints.

Related answers