Custom AI agents that connect knowledge, tools and workflows—with people in control.
Let’s build itAn example: an internal assistant gathers release information, points to its sources and prepares a summary for a person to approve. Discovery defines which tools it can use and which actions need review.
A useful response. Connected to its sources.
An effective agent starts with a defined task: find information, prepare a report, route a request or assist an operator. We map the decisions, available tools and points where a person should review the result before choosing the model or orchestration approach.
Connect an agent to approved documents, APIs and business applications. Tool permissions, retrieval boundaries and approval steps are part of the design. A custom agent builder can give your team a controlled way to configure roles, instructions, tools and reusable workflows.
Define evaluation cases alongside the workflow. Track tool calls, failure modes, latency and cost, and include a clear handoff when the agent cannot complete a task. Begin with a bounded pilot before expanding its responsibilities.
Teams building internal copilots, product assistants, research workflows or assisted customer operations.
Useful context before we start building.
A custom AI agent is software that uses an AI model to interpret a task and work with approved tools or information. It is configured for a particular business workflow, with defined access and human review where needed.
Where your systems provide suitable APIs and permissions, an agent can retrieve information or propose actions through those integrations. Discovery confirms what access is available and which actions require approval.
Yes. A custom agent builder can organize agent roles, instructions, approved tools and evaluation workflows. The scope depends on the users, integrations and governance your organization needs.
Tell us what you want to build.
We’ll discuss the scope and a useful next step.
