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Workflows that don't break — they adapt, recover and learn.
Six high-impact use cases delivered by built-in and customizable agents.
Backoff, jitter, idempotency-aware retry.
Swap to a backup integration on failure.
Hypothesize, test and explain failures.
Create rich incidents for true blockers.
Update runbooks and prompts automatically.
Flag schema, API or data changes proactively.
Workflows that don't break — they adapt, recover and learn.
Use the starter pack to ship in weeks, then extend with custom agents that fit your unique workflows.
Operations stops being a fire-drill culture. Workflows detect, diagnose, recover, compensate and learn — without paging the on-call at 3am.
Failures, timeouts, partial successes and data anomalies are detected at every step — not just at workflow end.
Failures are classified as transient, partial, data-driven or structural — each gets the right recovery treatment.
Retry-with-backoff, fallback connectors, alternative tools, re-fetch or scope-down — applied automatically within policy.
Where prior steps must be undone, recorded compensating actions execute in reverse — keeping multi-system state consistent.
Recovery patterns feed into the planner; flaky tools are deprioritized, brittle paths flagged for redesign.
Real numbers from production deployments across regulated enterprises.
Resilience stops being something each script implements badly. It's a property of the workflow runtime — agents inherit it, ops teams benefit.
Most production incidents are transient or data-driven — exactly what self-healing absorbs. Humans see only the structural issues that actually need them.
Concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector and manufacturing.
On clearing-network glitches, agents retry, switch rails or compensate without escalation.
On policy-admin downtime, claim agents queue, replay and reconcile cleanly when systems recover.
On payer-API failures, prior-auth agents retry, switch channels or escalate — without losing requests.
On provisioning failures, agents retry, compensate or escalate — orders never get stuck.
On dependent-system outages, citizen workflows queue resiliently and resume cleanly.
On plant-floor system issues, agents fall back to edge stores and reconcile when central is back.
Production workflows fail. The interesting question is what happens next.
A guided journey from your first workflow to enterprise rollout.
Pick one workflow; run alongside your team in copilot mode.
Validate KPIs and ROI against a clear baseline.
Layer policies, approvals and audit thresholds.
Expand to additional workflows and teams.
Plays well with
Change proposals are surfaced for human review.
Hypothesis-driven with evidence and confidence.
See xyner in your environment with a guided executive demo.