What if your bots could recover before the business notices? This session teaches the resilience patterns that turn PAD automations into well‑behaved systems.

We’ll implement heartbeats and health checks; idempotent actions; queue‑based retries with backoff; timeouts and circuit breakers; structured exception taxonomies; “poison queue” isolation; and graceful degradation with clear runbooks.
We’ll also cover observability—how to log the right signals (success/fail, duration, payload hints) and wire Application Insights/Power BI so you spot drift early.

Bring your “brittle build” mindset; you’ll leave with a refactor plan that reduces ticket volume and improves SLA adherence without a ground‑up rewrite.

You’ll learn:
✅ The minimum viable telemetry model for bots
✅ When to retry vs. fail fast (and how to make the decision transparent)
✅ How to retrofit legacy automations with self‑healing incrementally
✅ Measuring the before/after (ticket heatmaps, MTTR/MTBF trends)

Additional Details:
Audience: RPA developers, solution architects, CoE platform engineers
Level: Intermediate–Advanced; Duration: 60 minutes
Demos: Live patterns with PAD; downloadable pattern cards and a stability‑first checklist