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Frame Game: Why Autonomous Process AI Needs Pockets of Rigidity

Opening — Why this matters now The current fashion in enterprise AI is to give agents more tools, more context, and more freedom. The assumption is charmingly simple: if the model can reason, retrieve, plan, and call APIs, then the organization becomes more adaptive. Add a dashboard, call it orchestration, and wait for productivity to bloom like a suspiciously well-funded greenhouse. ...

April 28, 2026 · 16 min · Zelina
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The Stochastic Gap: Why Your AI Agent Fails Before It Starts

A procurement workflow looks boring until an AI agent touches it. Before that moment, the process is usually wrapped in the comforting machinery of enterprise software: approval rules, validation checks, role permissions, exception paths, and enough audit trails to make everyone feel governed. Then someone inserts an agent and asks it to “handle the workflow.” The agent may know the words. It may call the right tools. It may even produce the next step that looks plausible. ...

March 26, 2026 · 15 min · Zelina
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When LLMs Read the Room: Predictive Process Monitoring Without the Data Buffet

Opening — Why this matters now Predictive Process Monitoring (PPM) has always promised operational foresight: knowing how long a case will take, whether a costly activity will happen, or when things are about to go wrong. The catch has been brutally consistent — you need a lot of data. Thousands of traces. Clean logs. Stable processes. ...

January 19, 2026 · 5 min · Zelina