Custom AI Agent Development

Consultants building a custom AI agent workflow

Agents Built to Do Work, Not Just Talk

We build AI agents for specific business jobs: researching, drafting, checking, routing, updating systems, preparing reports, and coordinating work across tools. The agent is designed around the workflow it needs to complete.

Tool-Using Agents

Agents can retrieve business context, call APIs, update records, and prepare outputs for review.
Task-Specific Design

Each agent is scoped to a real operational responsibility, with clear inputs, outputs, and approval rules.

What Custom Agent Development Includes

1. Agent Role Design

Define exactly what each agent should do, what context it needs, what tools it can use, and where human review is required.
2. Knowledge and Tool Integration

Connect agents to the documents, databases, APIs, and software systems needed to complete the workflow.
3. Testing and Evaluation

Evaluate outputs against real examples, edge cases, and operational standards before expanding the agent's responsibilities.

Built for Reliable Workflow Execution

Custom agents should be useful, observable, and limited enough to trust. We focus on specific business outcomes rather than broad, unfocused AI assistants.

85%
Workflow examples tested
70%
Manual steps targeted

Consultants reviewing agent workflow implementation

Agents That Fit the Operating Model

A useful agent needs more than a prompt. It needs context, tool access, error handling, review paths, and a clear role in the wider business workflow.

Context Retrieval

Give agents controlled access to the knowledge and records needed for each task.
Action Controls

Set boundaries for what agents can draft, recommend, update, or escalate.