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title: 'Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AI'
description: >-
  Two AI interns. One handles 96% of conversations alone, the other only 80%.
  The dashboard picks the wrong one. Druid AI's team, including co-founder and
  chief product officer Dan Bălăceanu, shows why containment rate, the metric on
  every agent dashboard, can point you to the wrong agent. In their bank
  example, the intern who escalated more often was handing senior bankers
  customers who were about to refinance. They walk through a performance review
  framework built with their customers: seven pillars split into what the agent
  is configured with and what it does at runtime, with governance across both.
  Twenty-six components are each scored 0, 1 or 2 (missing, defined, or actually
  governed and tracked over time) and weighted by business impact, with
  governance and mandate weighted highest. They cover error tolerance, risk,
  compliance, observability, drift, hallucination, tone and sentiment, the
  agent's mandate, scope, business case and budget, a shared platform, and
  validating outcomes. They also show a dashboard that stays green all year
  while the agent's real score slides from 83% to 60%, how to answer the ROI
  question, and why containment targets differ by industry in Druid's 2026 AI
  Adoption Benchmark. In this talk: • Why containment rate can reward the wrong
  agent • A seven-pillar scorecard: configuration, runtime and governance •
  Scoring and weighting 26 components by business impact • Answering ROI and
  setting industry-specific targets SPEAKER Dan Bălăceanu, Co-founder & Chief
  Product Officer, Druid AI LinkedIn: https://www.linkedin.com/in/dan-balaceanu/
  LINKS Druid AI: https://www.druidai.com Druid 2026 AI Adoption Benchmark:
  https://www.druidai.com/ai-adoption-benchmark CHAPTERS 0:00 Intro 1:36 Two
  interns, one dashboard 3:09 The containment trap 3:33 The seven-pillar
  framework 5:42 Scoring: 0, 1 or 2 7:12 Weighting by business impact 8:56
  Governance: tolerance and risk 11:30 The agent's mandate 13:25 Platform 16:07
  Validating outcomes 16:26 The final score 17:25 Recap 18:20 Green dashboard,
  falling score 18:50 The ROI question 20:00 Targets differ by industry Recorded
  at the AI Engineer World's Fair 2026 in San Francisco. Subscribe for more
  talks from the engineers building with AI. AI Engineer: https://ai.engineer
  YouTube: https://www.youtube.com/@aiDotEngineer X: https://x.com/aiDotEngineer
  LinkedIn: https://www.linkedin.com/company/aidotengineer/ #AIAgents
  #EnterpriseAI #AIEngineer
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/containment-is-lying-to-you-measuring-ai-agents-lik-d4197f20ab7f
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# Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AI

Two AI interns. One handles 96% of conversations alone, the other only 80%. The dashboard picks the wrong one. Druid AI's team, including co-founder and chief product officer Dan Bălăceanu, shows why containment rate, the metric on every agent dashboard, can point you to the wrong agent. In their bank example, the intern who escalated more often was handing senior bankers customers who were about to refinance. They walk through a performance review framework built with their customers: seven pillars split into what the agent is configured with and what it does at runtime, with governance across both. Twenty-six components are each scored 0, 1 or 2 (missing, defined, or actually governed and tracked over time) and weighted by business impact, with governance and mandate weighted highest. They cover error tolerance, risk, compliance, observability, drift, hallucination, tone and sentiment, the agent's mandate, scope, business case and budget, a shared platform, and validating outcomes. They also show a dashboard that stays green all year while the agent's real score slides from 83% to 60%, how to answer the ROI question, and why containment targets differ by industry in Druid's 2026 AI Adoption Benchmark. In this talk: • Why containment rate can reward the wrong agent • A seven-pillar scorecard: configuration, runtime and governance • Scoring and weighting 26 components by business impact • Answering ROI and setting industry-specific targets SPEAKER Dan Bălăceanu, Co-founder & Chief Product Officer, Druid AI LinkedIn: https://www.linkedin.com/in/dan-balaceanu/ LINKS Druid AI: https://www.druidai.com Druid 2026 AI Adoption Benchmark: https://www.druidai.com/ai-adoption-benchmark CHAPTERS 0:00 Intro 1:36 Two interns, one dashboard 3:09 The containment trap 3:33 The seven-pillar framework 5:42 Scoring: 0, 1 or 2 7:12 Weighting by business impact 8:56 Governance: tolerance and risk 11:30 The agent's mandate 13:25 Platform 16:07 Validating outcomes 16:26 The final score 17:25 Recap 18:20 Green dashboard, falling score 18:50 The ROI question 20:00 Targets differ by industry Recorded at the AI Engineer World's Fair 2026 in San Francisco. Subscribe for more talks from the engineers building with AI. AI Engineer: https://ai.engineer YouTube: https://www.youtube.com/@aiDotEngineer X: https://x.com/aiDotEngineer LinkedIn: https://www.linkedin.com/company/aidotengineer/ #AIAgents #EnterpriseAI #AIEngineer

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/containment-is-lying-to-you-measuring-ai-agents-lik-d4197f20ab7f · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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