Most businesses met generative AI as a chatbot: you ask, it answers. AI agents are the next step. Instead of just answering, an agent can plan a sequence of steps and take actions in your tools: look up an order, update a CRM record, draft and send an email, or raise a purchase order for approval.
How an agent differs from a chatbot
A chatbot generates text. An agent combines a language model with tools (APIs into your systems), memory (context about the task and the user) and guardrails (rules about what it may and may not do). The result is software that can complete a task end to end, with a human approving anything high-impact.
Where agents pay off fastest
- Customer support. Resolve order status, returns and FAQs instantly, and hand complex cases to humans with a full summary.
- Finance operations. Match invoices to POs, chase overdue payments and flag anomalies for review.
- Sales. Research leads, personalise outreach and keep the CRM up to date automatically.
- IT and HR helpdesks. Reset access, answer policy questions and route tickets.
What makes an agent production-ready
- Evaluation: a test set of real scenarios scored on every change.
- Permissions: the agent only gets the access its task needs.
- Observability: every step logged, so you can see why it did what it did.
- Human-in-the-loop: approvals for actions involving money, customers or data deletion.
Start with one narrow, high-volume workflow. Prove the value, then expand.
If you are exploring agents, our AI Lab team runs a free one-week opportunity workshop to identify where they will make the biggest difference in your business.