AgentOps Pulse
A live operations dashboard for CX and support directors managing AI agent deployments in customer-facing workflows. Surfaces call quality, handoff-to-human rates, customer satisfaction trends and which agent personas are underperforming — without requiring engineering to build the dashboards.
CX and customer support directors running AI agents in production
- Live conversation-quality scoring per agent role
- Escalation and handoff heatmaps across the customer journey
- Cost-per-resolution trends pulled from model telemetry
- Weekly coaching brief auto-drafted from underperforming calls
AI agent swarms are moving from hackathon demos into customer-facing business processes, and the operators running them cannot wait on engineering to debug every miss.
Dev.to post with 13 reactions shows a working multi-agent stack emitting 189 traced model calls, signalling real ops demand beyond hackathons.
Existing tools (LangSmith, Arize) are built for engineers; an ops-leader-first dashboard for non-technical owners is largely absent.
Operations leaders have budget authority for CX tooling and pay $20k+ annually for comparable observability suites.
AI agents in production are a multi-year trend and observability needs only deepen as agent counts grow.
Building the dashboard UI is straightforward; the hard part is plugging into the heterogeneous agent stacks companies actually run.