Contact centres run on hard-won routines, and the fastest way to lose a team's trust is to drop an AI into the middle of them. This is the sequence we recommend: slow at the start so you can go fast later.
Phase 0: listen
Before anything is built, categorise a few hundred calls. Which are routine, which are complex, which are emotional? Where do agents spend time that a system could spend instead? The categories become the roadmap.
Phase 1: a contained pilot
One call type, one route in, one month. Out-of-hours overflow is a common choice because the comparison is against voicemail rather than against your best agents. Measure resolution, handoff rate and satisfaction.
Phase 2: integrate
Connect the CRM so outcomes land where agents work, then the booking platform so the assistant can look things up. Each integration unlocks another set of call types.
Phase 3: expand by call type
Add the next category only when the previous one is stable. Keep agents involved in reviewing transcripts — they will spot problems and opportunities faster than any dashboard.
What to watch
- Abandonment rate and average speed of answer
- First-contact resolution for automated calls
- Handoff rate and the quality of context passed to agents
- Customer satisfaction split by AI-handled and agent-handled calls
Automate one call type well before you automate ten badly.
