Tracks/Track 13 — AI Agent & Automation Economics/13-10
Track 13 — AI Agent & Automation Economics

13-10: AI Maturity Assessment

Evaluating organizational readiness to fully deploy Agentic systems without incurring massive Technical Debt.

1 Lessons~45 min

🎯 What You'll Learn

  • Assess organizational data cleanliness
  • Model Total AI TCO over 3 years
  • Evaluate workforce upskilling ROI
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1

Scaling AI Beyond the Demo

Building an AI demo takes a weekend. Building a secure, multi-tenant AI feature that scales to 1M users without collapsing margins takes a year of deep engineering.

The AI Maturity Model tracks an organization's capability to transition from "Copilot usage" (individual productivity) to "Embedded Intelligence" (AI integrated into core products) and finally "Agentic Workflows" (AI performing autonomous actions).

Attempting to build Agentic systems before mastering basic prompt versioning and RAG pipelines results in catastrophic project failure and massive sunk costs.

AI Prototype Graveyard Size

The number of GenAI PoCs launched internally that never successfully reached production.

High numbers indicate infrastructure gaps
Production Run Rate

The monthly cloud cost of supporting active AI projects in the wild.

Must translate directly to revenue
📝 Exercise

Execute an immediate portfolio review of internal AI initiatives.

Execution Checklist

Action Items

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You've seen the theory. The Vault contains the exact board-ready financial models, autonomous AI orchestration codes, and executive action playbooks that drive 8-figure valuation impacts.

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: Scaling AI Beyond the Demo

Building an AI demo takes a weekend. Building a secure, multi-tenant AI feature that scales to 1M users without collapsing margins takes a year of deep engineering.The AI Maturity Model tracks an organization's capability to transition from "Copilot usage" (individual productivity) to "Embedded Intelligence" (AI integrated into core products) and finally "Agentic Workflows" (AI performing autonomous actions).Attempting to build Agentic systems before mastering basic prompt versioning and RAG pipelines results in catastrophic project failure and massive sunk costs.

15 MIN
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