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AI Enablement - Knowledge Workers
AI fluency for knowledge workers
AI Enablement - Engineers
Agentic SDLC for engineers
AI Deployment
Custom software and agentic systems
AI Evaluation
Measurable AI quality
AI Optimization
Cost-controlled AI growth
Engineering velocity
last 90 days
Cycle time
3.2 days → 1.0 day
Test coverage
78% → 92%
Defect rate
−41%
Services Overview
The full AI lifecycle
Industries
Private Equity
Turn AI into portfolio value
Digital Natives
Build the AI-native product company
Delegated work
last 90 days
Board memos
12
Models built
8
Campaign assets
24
Tickets automated
156
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Contract review
$1,180/mo · 1.2s avg
Invoice approval
$860/mo · 410ms avg
Expense approval
$540/mo · 380ms avg
Resources
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Posts about what we’re building and learning
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AI Events by Eliza
Deployment Guides
AI Deployment Guides
10,000+ User ChatGPT Rollout for a Global Private Equity Firm
Featured case study
Blog Posts
Posts from our team about what we’re building and learning
The New Model Costs More Per Output Token. It May Still Cost Less to Use
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Task Is the Atomic Unit of Work Your Subagents Need
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Azure to AWS Bedrock Migration Checklist for OpenAI
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OpenAI on AWS: When to Use the API, Bedrock, or Managed Agents
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Codex Is Ready for the Org Chart. Most Companies Are Not.
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Your Agent Stack Is Infrastructure. Runtime, Identity, and State Are Now Platform Decisions
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PE Firms Don’t Need More AI Assessments. They Need Visible P&L Impact in Weeks
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AI Coding Tools Are Only as Good as Your Engineering Foundation
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Eliza Earns Official OpenAI Services Partner Designation
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How Data Connectivity Turns ChatGPT into Your Company’s Operating System
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Stop Vibe Coding. Start Velocity Engineering with Codex and MCP
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Me, Myself, and AI: 5 Days, 2 Models, 200M Tokens
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