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AI Agent Stack: One Shared Layer Before Agents Become an Architecture Risk
An enterprise AI agent stack is only as governable as the shared layer underneath its agents. When 20 teams build agents separately, you get 20 paths into your systems, each with its own credentials and tool connections. Controlling agent sprawl comes down to deciding what moves into that shared layer and what stays with the teams building agents.
Data Engineering
Data Modernization
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AI Technical Debt: How to Standardize, Share & Rationalize Before Your Next Build
This is what AI technical debt looks like in an enterprise with 15 applications in production. The code in each application may be clean. The debt comes from building the same capability many times, in different ways, by different teams. Now each version has to be maintained on its own.
Artificial Intelligence
Agentic AI
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Engineering AI Agent Reliability: Exceptions, Escalations, and Human Handoffs Beyond the Happy Path
AI agent reliability is decided by the inputs your team never tested. Your evaluation score only covers the inputs you chose, and the untested ones arrive in the first week of production.
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