Artificial Intelligence (AI) as a Call Agent
About this programme
The next step beyond AI-assisted humans is AI that takes the call itself: voice agents that greet, understand, answer and route customers in natural conversation. Deployed carefully they extend coverage and absorb routine volume; deployed carelessly they trap customers and damage trust. This is Connect Centre's most advanced programme, and it earns that position: over two days learners move from understanding the technology through to actually building, testing and planning the rollout of an AI call agent.
Learners get hands-on with conversational call flows in a sandbox environment: designing what an AI agent should handle, building and stress-testing it against edge cases, scripting its escalation to a human, and monitoring its performance with the same quality discipline applied to human agents. The second day covers what most AI training skips entirely: how to actually deploy a voice agent into a live team without breaking trust, drawing directly on Connect Centre's own hybrid AI-and-human operating model.
What you will be able to do
By the end of this programme, learners will be able to:
- Explain how an AI voice agent handles a call, from speech understanding to response and routing, including its practical failure modes
- Design a conversational call flow for a routine enquiry type, specifying what the AI agent handles and what it must not attempt
- Build and stress-test a call flow in a sandbox environment against a set of deliberately difficult edge-case scenarios
- Define clear escalation triggers and hand-off behaviour so a customer reaches a human smoothly, with context carried over
- Monitor and quality-assess AI agent interactions using a structured checklist, identifying at least three categories of failure to watch for
- Plan a phased deployment of an AI call agent into a live team, including staff communication and change management
- Apply responsible-use principles to an AI call agent deployment, including transparency with customers and protection of personal data
How the programme is structured
How AI Call Agents Work
Speech recognition, understanding and response · what the technology can and cannot do
Designing Call Flows
Scoping what AI should handle · conversation design for routine enquiries · graceful failure
Building and Testing a Call Flow
Hands-on lab: building a flow in a sandbox · stress-testing against edge cases · fixing what breaks
Escalation to Humans
Triggers and thresholds · warm hand-off with context · protecting the customer relationship
Monitoring and QA
Reviewing AI interactions · failure categories · the quality loop for a non-human agent
Deployment and Change Management
Phased rollout into a live team · staff communication · earning trust from agents and customers
Responsible AI Use
Being honest with customers about AI · data protection on AI-handled calls · assessed design exercise
Every programme follows a defined lesson plan with a participant workbook, practical activities and assessment, reviewed internally and approved by management before delivery.
Skills you will build
- Conversational AI Operations
- Service Quality Management
- Responsible AI Practice
- AI Deployment and Change Management
Course intakes
One intake runs each month. Exact dates are confirmed in writing when you enquire, together with the programme fee and registration terms.
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