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Agent Sprawl - AI Agent Stack Enterprise
Data Engineering
Artificial Intelligence
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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.
AI technical debt reduction: standardizing and rationalizing enterprise AI capabilities across 15 applications
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.
AI agent reliability engineering: exception handling, escalation policy and human handoffs in production
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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Ideas2IT’s Bold Bet on AI-Powered Software Engineering and Employee Ownership

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