Tracks/Track 13 — AI Agent & Automation Economics/13-14
Track 13 — AI Agent & Automation Economics

13-14: Agentic Governance Models

Controlling the execution boundaries of autonomous systems, enforcing read-only vs write-access architectures, and gating financial authority.

1 Lessons~45 min

🎯 What You'll Learn

  • Design stateless execution models
  • Limit destructive payload authorization
  • Implement dual-key execution validation
Free Preview — Lesson 1
1

The Liability of Action

Giving an LLM the ability to read your database is an analytics feature. Giving an LLM the ability to write to your database is an existential business threat if governed poorly.

Agentic Governance requires explicit boundary constraints. An agent authorized to delete files should run in a completely isolated sandboxed IAM role. Every state-altering action must be cryptographically signed and logged.

Without governance, an agent caught in an API hallucination loop could recursively drop tables or issue thousands of financial refunds.

Write-Action Blast Radius

The maximum data disruption an agent could cause if completely compromised.

Limit via granular IAM roles
Human Approval Latency

The time a requested action sits in a queue waiting for human confirmation.

Balances agility vs safety
📝 Exercise

Review exactly what your prototype AI agents are authorized to touch.

Execution Checklist

Action Items

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Executive Dashboards

Generate deterministic, board-ready financial artifacts to justify CAPEX workflows immediately to your CFO.

Defensible Economics

Replace heuristic guesswork with hard mathematical frameworks for build-vs-buy and SLA penalty negotiations.

3-Step Playbooks

Actionable remediation templates attached to every module to neutralize friction and drive instant deployment velocity.

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Engineering Intelligence Awaiting Extraction

No generic advice. No filler. Just uncompromising architectural truths and unit economic calculators.

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Telemetry Stream
Inference Architecture
01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
07
08await router.guardrail(payload);
+ 340%

Module Syllabus

Lesson 1: The Liability of Action

Giving an LLM the ability to read your database is an analytics feature. Giving an LLM the ability to write to your database is an existential business threat if governed poorly.Agentic Governance requires explicit boundary constraints. An agent authorized to delete files should run in a completely isolated sandboxed IAM role. Every state-altering action must be cryptographically signed and logged.Without governance, an agent caught in an API hallucination loop could recursively drop tables or issue thousands of financial refunds.

15 MIN
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