Cost Governance defines how TealTiger ensures agentic AI systems operate within explicit, enforceable financial boundaries.
The Cost Governance Hub defines normative controls for budget enforcement, usage predictability, rate limiting, and cost accountability in AI systems.
In agentic systems, cost is not a passive billing outcome. Autonomous retries, branching plans, tool fan‑out, and model escalation can cause spend to grow non‑linearly at runtime. This hub focuses on deterministic cost enforcement, not post‑hoc spend analysis.
What This Hub Covers
- Cost as a first‑class governance control
- Runtime budget enforcement and ceilings
- Prevention of runaway execution and cost explosions
- Model‑to‑budget binding and retry limits
- Audit‑ready cost evidence for finance and risk teams
Why Cost Governance Matters
Without enforceable cost controls:
- Spend escalates faster than humans can react
- Alerts arrive after damage is done
- Cost overruns appear accidental or ungoverned
- Finance and audit teams lack decision evidence
- Trust in agentic systems erodes quickly
TealTiger treats cost as an execution‑time control surface, not a reporting artifact.
Core Articles
- Cost Governance for Agentic AI
- The primary cost governance model for enforcing budgets, limits, and evidence at runtime.
Additional Articles
- Cost Is a Governance Control, Not a Billing Metric
- Preventing Cost Explosions in Agentic Systems
- Audit‑Ready Cost Evidence for AI Systems
These articles expand cost governance by showing how runtime enforcement, fail‑closed execution, and evidence‑first design prevent unbounded spend in agentic AI systems.
Related Insights
These Insights connect cost governance controls to evidence-backed operational outcomes: