Monitor the workflows your business runs on
Operations, support and product leads
A business process crosses APIs, queues, models, tools and people. By the time the KPI moves, the cause is buried in one of them.
One timeline per case
Process events, AI traces and app events are joined on the case, so you can see time in each step, where cases stall and which change started it.
Instrument the steps, send events with a case id, and track time in step and SLA breaches.
Ingest
Capture process events from APIs, apps, agents, queues, files, support tools, and custom systems.
Monitor
Track process health, cycle time, completion, quality, cost, SLA, and outcome signals.
Analyze
Find bottlenecks, failed handoffs, policy exceptions, and process regressions.
Resolve
Trigger alerts, workflows, reports, and remediation steps with root-cause context.
What supports it
What you get
- Reduce time to resolution by finding where workflows slowed, failed, or violated expectations.
- Connect AI behavior to business outcomes instead of monitoring systems in isolation.
- Give operations, product, and support leaders a live view of process health.
Is this process mining?
Anosys is not limited to offline process mining. It ingests live operational signals, AI traces, evals, cost, and business events so teams can detect and act in production.
Can Anosys monitor human and AI steps together?
Yes. Process units can represent agents, tools, APIs, queues, review steps, and human handoffs in one operational timeline.