Agent Cost & Budget Governance
73% of organisations exceeded their AI cost projections in 2026. Agentic tools burn tokens in loops, across tool calls, unattended, roughly 50x a single-turn chatbot on equivalent tasks. Five gates for actually controlling it, not just watching it happen.
Who this pack is for
Whoever is accountable when the AI spend line comes in over budget: a platform engineering lead, a FinOps practitioner, or an engineering director who has just been asked by finance why last month's AI bill doesn't match what was planned. This isn't a compliance buyer — it's someone who has already felt this pain, or is trying to get ahead of it.
Unlike most of this library, this pack isn't built around a regulated use case. It's built around a documented 2026 operational failure mode: named enterprises have already blown through annual AI budgets within months of an agentic rollout. This is the pack for closing that gap before it happens to you.
What's in the pack
All five gates are built so missing or unclear information blocks the result rather than quietly passing it, each tested against every possible input combination and against an independent third-party decision engine. Every worked example follows the same autonomous code-review agent through a realistic cost-governance failure and recovery arc, from an undocumented budget spreadsheet to a properly enforced, owned, and reconciled cost-control system.
Confirms a documented fleet-level spend ceiling exists and that crossing it actually halts or throttles new spend automatically, not just triggers an alert someone might not read in time.
Confirms a specific expensive action actually gets sign-off before it executes, not requested as a formality after the money is already spent.
Confirms a named, currently active individual is accountable for an agent’s spend, and that spend is tracked separately enough to actually be attributed to them.
Confirms actual spend gets reconciled against forecast on a fixed schedule, and that a material divergence actually triggers a review rather than just getting logged.
Per-agent behavioural baseline and drift detection, catching an agent that has become unusual compared to its own history, not just against a fleet-wide average.
Does not replace Agent 365's own Cost Management dashboard, which remains the right tool for aggregate spend, budgets, and invoice-time reporting — every pattern here sits alongside that dashboard, not on top of it. Does not provide security controls against a malicious actor causing a cost anomaly, that is a security incident-response question. Does not decide what your ceiling, threshold, or cadence should actually be set to, that is your own risk-appetite decision, this pack checks whether it was actually made and enforced.
€499 / $599 / £449
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