Scale
An AI agent needs an owner after launch. We run and improve your voice and chat agents once they are live: reviewing real conversations, fixing what fails, keeping integrations healthy and handing your team clear runbooks. Built for high-volume contact centres.
Senior people on every engagement Clients in India, the US and Europe
Scope
Transcript sampling by intent, handoff quality review, and controlled prompt and workflow changes with rollback criteria, so performance stays healthy as traffic scales.
API timeouts, partial failures and stale records are expected in production. Runbooks cover retries, queueing and escalation routes that preserve customer context.
Managed voice AI infrastructure and telephony operations for high-volume contact centres.
Escalation paths, analytics tags, a rollback plan for model or integration changes, and a training slice for the teams who will own the system.
Outcomes
Process
Baseline: agree the intents that matter and the outcomes tracked for each.
Monitor: sample transcripts by intent, language and channel.
Review weekly: work through the top failure clusters and handoff quality with your team.
Change safely: update prompts and workflows with rollback criteria in place.
Report and hand over: runbooks, escalation paths and reporting for the people who own the system.
FAQ
It is the work of running an AI agent after go-live: reviewing real conversations, fixing what fails, keeping integrations healthy and reporting results by intent, so quality does not drift once the project team has moved on.
On a weekly cadence: transcript sampling by intent, a handoff quality review, and controlled prompt and workflow changes with rollback criteria.
No. Agents escalate to your team with full context when a conversation needs a person, and people stay in control.
You do. We hand over a runbook with escalation paths, analytics tags and a rollback plan, plus a training slice for the teams who will own the system.