Which tasks can an AI agent execute?
It can search, summarize, classify, create tickets, update CRM, draft emails, and escalate cases based on rules.
AI Search Library
AI agents for business operations
Design of AI agents with tools, memory, permissions, and traceability for internal operations.
Who it is for
Sales, support, finance, operations, HR, and back-office teams that need to automate repetitive work.
Use case
An agent can query systems, classify cases, draft responses, create tasks, and escalate exceptions with an audit trail.
When to use it
- The process has repeatable rules and clear exceptions.
- Data lives across multiple tools.
- You need traceability, not just a chatbot.
What makes it different
- Tool-first design and permissions per action.
- Human-in-the-loop for sensitive steps.
- Observability for cost, latency, errors, and quality.
Reusable example
Example: a support agent reviews history, classifies priority, proposes a reply, and opens a ticket if churn risk is detected.
Frequently asked questions
How do you control errors?
With evals, action limits, human review for sensitive steps, logs, and quality metrics.