Quality
Useful answers, business rules, drift and samples scored on real cases.
PLATFORM / SUPERVISION
Production supervision.
We don’t ship an agent and walk away. We operate it: OS journal, quality, costs, errors, ALLOW / REVIEW / BLOCK escalations and fixes over time.
01 / WHAT WE WATCH
Four axes, one runbook
Cost and latency
Model usage, processing time, availability and alert thresholds per workflow.
Errors and escalations
Task failures, exceptions, human handoffs and root causes documented then fixed.
Adoption and outcomes
Real usage, drop-offs, business indicators agreed during SIGNAL scoping.
02 / UNDER REMPARIA OS
Traces and human gates
Execution journal
Actions, tool calls, answers, errors and decisions: so you can replay what happened.
ALLOW / REVIEW / BLOCK
Live policies: what passes, what waits for a human, what is refused.
Permissions
Access, sensitive actions and retention stay under your control.
Escalations
Out of scope → the right person, with the context needed to decide.
03 / AGENTOPS CYCLE
Observe, intervene, improve
Ops continue after go-live: readable reporting, canary, rule or connector fixes, then retest of scenarios.
- Collect OS logs, quality, costs, incidents and business indicators
- Fix rules, Studio skills, connectors or REVIEW / BLOCK thresholds
- Next backlog fed by the field, not by a global average
Observe
Intervene
Improve
04 / FAQ
Before you start the run
What do you watch in production?
OS journal, output quality, costs, latency, errors, escalations, adoption and KPIs signed at scoping.
Who decides out of scope?
An escalation rule names the team. The agent brings context; sensitive arbitration stays human.
How do you control quality?
Business criteria, case sets, samples and alert thresholds. An average alone is not enough.
Is this separate from integration?
No. It is the AgentOps layer of every shipped agent: observe, fix, document, measure.