An AI agent is a system that uses a large language model to understand a goal, plan steps and use tools such as search, databases or email to complete tasks with limited human input.
Common uses include answering customer questions, qualifying leads, researching prospects, drafting content, triaging support tickets and updating records across tools.
They can be, with the right design. We ground agents in your data, limit their permissions, test them on real scenarios and add human approval where mistakes would be costly.
We choose models based on the task, accuracy, speed, cost and privacy needs, and can use leading commercial or open-source models.
A focused first agent can often be prototyped quickly. Production-ready agents take longer because of testing, guardrails and integrations.
We limit what each agent can access, agree which data can be sent to AI providers and log every action for review.