Most businesses that ask for 'an AI chatbot' actually want fewer manual steps: a lead qualified, an appointment booked, a document processed. Understanding the difference between a chatbot and an agentic workflow saves months and budget.
What a chatbot does well
A grounded chatbot answers questions from approved content — services, pricing rules, opening hours, policies — using retrieval-augmented generation (RAG). It reduces repetitive enquiries and captures leads when it cannot answer. Its output is text.
What an agentic workflow adds
An agent can call tools: your CRM, calendar, ticketing system, database or email. It follows a multi-step plan — gather information, decide, act, verify, hand off — and its output is a completed task with an audit trail.
- Lead qualification: enrich, score, route and book a call.
- Support triage: classify, look up order or booking data, resolve or escalate.
- Scheduling: reschedule, fill waitlists and send confirmations.
- Document processing: extract, validate and file into a system of record.
How to choose
Ask what the last step of the job is. If it is 'the visitor knows the answer', a chatbot is enough. If it is 'the appointment exists in the calendar', you need an agent with tool access, permissions and a human hand-off for uncertain cases.
What both need to be trustworthy
Grounding in approved data, clear failure behaviour ('I don't have enough verified information'), and evaluation suites that test behaviour before customers do. This is engineering work, not prompt writing.
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