Podcast

How Decagon Built Human-Level AI Support | Ashwin Sreenivas

Startup Project (Ashwin Sreenivas) · podcasts.apple.com

A founder who beat the failure rate explains what enterprise-grade actually took.

Listen on Apple Podcasts ↗

It answers 2 questions

  1. When do customers still need a human, and how do you design the AI-to-human handoff?
  2. Why do most AI agent projects fail, and what do the winners do differently?

Read with it

  1. The stat everyone quotes, with the integration story behind it. fortune.com Article MIT report: 95% of generative AI pilots at companies are failing Fortune
  2. Names the 'prompt doom loop' that kills adoption inside companies. salesforce.com Article Why 95% of AI Pilots Fail, and What the Other 5% Do Differently Salesforce
  3. An agent-builder's readthrough of the MIT NANDA findings. beam.ai Article 95% of Enterprise AI Pilots Are Failing: MIT Report Reveals Why Beam AI
  4. The testing-company view: winners treat agents as software, with rigor. tricentis.com Article Why 95% of AI pilots fail, and what it takes to scale in the agentic era Tricentis
  5. A concrete path from pilot purgatory to production. dataiku.com Article MIT Says 95% of GenAI Pilots Fail: How to Beat the Odds Dataiku
  6. Pattern-matches the survivors: workflow integration and adaptability. multimodal.dev Article Why AI Pilots Fail and How to Succeed Like the 5% Multimodal
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