Chatbots answer questions. AI agents get things done. An agent is an LLM-powered system that can plan a sequence of steps, call tools such as your CRM, database, email or calendar, check the results and keep going until a task is complete.
What makes something an AI agent?
- A goal: “qualify this lead and book a meeting”, not just “answer this message”.
- Tools: functions it's allowed to call, like searching orders or creating a ticket.
- Memory: context about the task, the customer and what's already been done.
- Guardrails: limits on what it can do alone, and when it must ask a human.
AI agent use cases that work today
- Support resolution: look up an order, check the policy, issue a refund under a set amount, and escalate the rest.
- Lead qualification: research an inbound lead, score it, update the CRM and book a call with sales.
- Back-office processing: read invoices and purchase orders, match them and flag exceptions.
- Internal IT and HR helpdesks: reset access, answer policy questions and raise tickets.
- Reporting: pull numbers from several systems every Monday and write the summary.
Risks, and how to manage them
Agents act, so mistakes have consequences. Good agent development focuses as much on control as on capability:
- Least privilege: agents only get the permissions a task needs.
- Human-in-the-loop: approvals for anything irreversible or high value.
- Full audit logs of every step, tool call and decision.
- Evaluations on realistic scenarios before and after every change.
What does an AI agent cost?
A single-workflow agent with a handful of integrations typically takes 6–10 weeks to build, test and roll out. Most of the effort goes into integrations, guardrails and evaluation, not the prompt. Running costs scale with usage and are usually far lower than the hours saved. For a quick ballpark, use our cost estimator. Our AI development services cover agents from first workflow to rollout.
A simple plan to launch your first agent
- Choose one high-volume, rules-based workflow with clear success criteria.
- Start in assist mode: the agent drafts, a human approves.
- Measure accuracy and time saved for a few weeks.
- Gradually allow it to act alone where it has proven reliable.
