Go-live is day one.
We keep your agents working on day 100.
Bots and agents fail quietly: a screen changes, a policy updates, a model shifts, a data feed goes stale. Agent Operations covers the agents and the data pipelines that feed them.
Five disciplines that keep agents in service
Observe
Control tower for health, volume and exceptions
Quality signals, not just uptime
Triage
L1 intake with severity set by business impact
Smart routing to the right resolver
Diagnose & fix
Trace reasoning, tools and data dependencies
Fix prompts, knowledge, bots and integrations
Control change
Prompt, knowledge and model updates run as releases
Regression testing with rollback
Improve
Retire low-value bots and tune agents
Surface the next automation opportunities
Rule-based bots and reasoning agents, in one service
RPA & hyper-automation bots
Rule-based bots that break when the world around them changes.
- Screen and selector changes in upstream apps
- Credential, queue and scheduling failures
- Exception backlogs and reprocessing
AI agents & copilots
Reasoning agents that degrade quietly instead of failing loudly.
- Answer quality drift after policy or model updates
- Tool-call and integration failures
- Escalation spikes and falling adoption
Tool-agnostic, fitted to your existing estate
Observe
Automation Anywhere Control Room · Power Platform CoE Kit · LangfuseBots and agents in one control tower
Respond
ServiceNow · Jira Service Management · PagerDutyIncidents, service levels and on-call
Change
Azure DevOps · GitHub · Power Platform pipelinesVersioned releases with rollback
Automate support
L1 triage agent · runbook assistantAgents that help support the agents
A clean handover, then steady improvement
Bots and agents in production, and nobody owning day 100?
Start with a transition assessment of your estate, incident history and service levels.