Three orchestration anti-patterns we keep seeing inside AI-enabled businesses right now:
1. Agent sprawl without ownership.
Every team has wired up its own agent. None of them share state. When something goes wrong at 2am, nobody can answer "which agent did what, in which order, and why." Capability is up, accountability is gone.
2. Pilot purgatory.
The POC works, the demo dazzles, but it never enters the operating system of the business because no one designed the workflow around it - exceptions, SLAs, escalation, audit, payments. The agent is real; the operation around it isn't.
3. Treating evidence as an afterthought.
Provenance, inference traces, consent state, decision logs - these get bolted on after the auditor or the investor asks. By then it's a forensic exercise instead of a feature. In regulated or capital-intensive verticals, that gap is the difference between "interesting" and "fundable."
The shared root cause is the same: people are buying or building capability layers, then hoping orchestration emerges. It almost never does.
We spend our time on that orchestration layer with founders, operators and investors who are trying to make AI-enabled businesses actually scalable and defensible. If any of the above is on your whiteboard right now, DMs are open.