Your Data Is Messy – Can AI Actually Handle It? – E131
From What Counts? by TrailBlazer Consulting, LLC
April 6, 2026 · 19 min
About this episode
The episode discusses the importance of clean and connected data for AI-powered customer support workflows.
Episode 131 - Data governance and AI readiness go hand in hand — and most organizations aren't as ready as they think. In this episode, Maura and Lee take a hard look at what an AI-powered customer support escalation workflow actually requires to function. Spoiler: it's not just a smart model. It's clean, connected, versioned data — customer records, contract terms, and executed agreement instances all properly linked. Using a real-world cable company scenario, they unpack how disconnected systems, outdated identifiers, and missing metadata cause AI to hallucinate answers instead of finding them. The episode closes with an introduction to data objects and metadata mapping — and a preview of the counterparty reconciliation work that has to happen before AI can deliver on its promises. Episode length: 00:19:21 Learn more by visiting our website, or by sending TrailBlazer an email at info@TrailBlazer.us.com.
People in this episode
Hosts: Maura, Lee
Topics covered
- data governance
- AI readiness
- customer support
- data quality
- metadata mapping
Keywords
- data governance
- AI
- customer support
- metadata
- data quality
- escalation workflow
- data objects
Mentioned in this episode
Organizations: TrailBlazer Consulting, LLC, cable company
More episodes of What Counts?
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- Counterparty Data Reconciliation at Scale: A 350,000-Record Case Study – E133 · May 4, 2026 · 21 min
- Your Data Is Lying To You: Why Reconciliation Has To Come Before AI – E132 · April 21, 2026 · 27 min
- Contract Data Governance: Why AI Alone Won’t Fix Conflicting Terms – E130 · March 23, 2026 · 17 min
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