Content's value is in the intelligence it brings, regardless of what system it's found in. But there is a lot of enterprise content across many, many systems.
On the Mostly Unstructured Podcast, KeyMark CMO Clay Tuten sits down with Mike Askren, VP of Product at Hyland, on how document management and ECM are becoming an intelligence layer for agentic AI, and the right size and scale problems to tackle with agents.
Topics explored:
Why has enterprise value moved from storing and securing content to extracting intelligence from it?
How content federation connects AI services to content across on-prem, cloud, and hyperscaler systems.
What an enterprise context engine does, and why the relationships between documents matter more than the engine itself.
Why agentic governance matters so much.
Monitoring, coaching, and shutting down agents that hallucinate or run on stale instructions.
Why the highest-ROI AI work comes from the processes that are least exciting, but have the highest volume of occurrence.
Questions this episode answers:
What is the intelligence layer in enterprise content management?
How much enterprise data is unstructured, and why does it matter for AI?
What is content federation and why is it needed for enterprise AI?
What is agent governance and how is it different from data governance?
How do you get ROI from AI without replacing your existing systems?
Where should a CIO start when moving ECM into an AI intelligence layer?
What is intelligent document processing (IDP) and how does it relate to agentic automation?
Subscribe for more AI talk on content intelligence, IDP, and agentic AI from the team at KeyMark, or reach out if anything caught your ear.
Timestamps: 00:00 – From storage to intelligence: the ECM shift 01:58 – What "unstructured content" really means 03:01 – Mike's role at Hyland and content federation 04:11 – The content-fueled agentic enterprise 06:45 – Why 70–90% of enterprise data goes untapped 08:03 – Agentic governance and context you can trust 09:25 – Human-in-the-loop feedback and coaching agents 10:22 – The control tower: monitoring and stopping agents 12:03 – Agents as digital employees 13:45 – Advice for CIOs under pressure 15:23 – Start small: the attainable win, not the moonshot 18:39 – Where the ROI actually hides 19:47 – Practical outcomes: claims, HR, government 21:03 – First steps into the intelligence layer 24:45 – From IDP to agentic automation to new workflows 27:19 – Slow down, ask questions
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