AGT-201 AI agents and automation
Build, supervise and improve an AI agent on WhatsApp
An agent that answers around the clock is only useful if someone on your side can read what it does, correct what it says and decide what it is allowed to do on its own. In two days, the team taking over the agent becomes its owner, not its spectator.
Objectives
- Read an agent's conversations over a given period and classify failures by type: wrong answer, missed handover, out of scope, outdated data
- Update the agent's knowledge base (offers, prices, documents, standard answers) and check on a set of test questions that the correction is taken into account before publication
- Adjust the agent's instructions (tone, rules for handover to a human, permitted actions) without widening its written scope
- Track three indicators every week (out-of-hours response rate, handover-to-human rate, qualified leads or resolved tickets) and decide on a corrective action
- Handle an escalation: take over a conversation, close the case, document the incident
Audience
Managers and supervisors in customer service, after-sales, sales and marketing; product managers; anyone appointed as the owner of a custom-built AI agent.
Prerequisites
Use WhatsApp Business or a customer relationship tool daily. No technical skills. Equipment: one laptop per participant with an up-to-date browser; access to a training agent deployed by Yolea on a test WhatsApp number, with its supervision console; for remote attendance, a stable connection of at least 5 Mbit/s, microphone and camera; participants bring their catalogue, their price list and twenty real customer questions.
Programme
- Supervising a conversational agent
- Maintaining a knowledge base
- Controlled configuration of instructions
- Steering by indicators
- Managing handovers and incidents
Format
2 days, 14 hours. In-company, on your own agent or on a training agent; on site, live remote or hybrid; 6 to 12 participants. 2 consecutive days of 7 hours; remote, 4 sessions of 3 h 30 over two weeks. Workshops on a real agent fed with the participants' own documents.
Assessment
Beforehand, a placement questionnaire. During the course, check quizzes and a practical challenge (diagnose and correct ten assigned faulty conversations, with the result measured on the test set). At the end, an end-of-course evaluation and a personal certificate of attendance. At three weeks, a follow-up check-in on the agent's indicators.
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