Insights / AI operations
AI agents need business rules before prompts
A practical view on why strong AI systems begin with operating rules, escalation paths, and measurable outcomes.
The prompt is not the operating model
Most AI projects become fragile when the team treats the prompt as the full system. A reliable agent needs business rules, data access boundaries, confidence thresholds, handoff paths, and measurement before it meets a real user.
Design the handoff first
The strongest agent workflows define where automation should stop. Human review, exception queues, audit trails, and escalation logic protect the business while still reducing repetitive work.
Measure the work, not the novelty
A useful agent should improve response quality, speed, completeness, or operational visibility. Those measures matter more than whether the interaction feels impressive in a demo.