AI Agent Development
We build custom AI agents that do real work across your tools, like triaging tickets, qualifying leads and processing documents, with the guardrails, human review and monitoring that production needs.
Problems we solve
Your team copies data between five systems all day.
The support backlog grows faster than headcount.
Your chatbot answers questions but cannot take action.
What we build
- Support triage agents Read, categorize and route tickets, and draft replies for review.
- Sales research agents Enrich leads, research accounts and prepare call notes.
- Document processing agents Turn invoices, contracts and forms into structured data in your systems.
- Operations agents Run routine back-office tasks across email, spreadsheets and internal tools.
- Multi-agent workflows Several agents handing work to each other, with a person approving key steps.
- Agents with MCP tool access Agents that use your systems through secure, auditable connectors.
How it works
- Discover Map the workflow, the systems involved and where a person must stay in the loop.
- Design Define the tools the agent can use, what it may not do, and when it asks for approval.
- Build Develop and test against a set of real past cases.
- Launch Start with human review on every action, then relax it as accuracy is proven.
- Improve Track outcomes and errors and tune the agent over time.
How to start
Most agents start with a 3 to 4 week prototype sprint. Tell us about the workflow and we will scope it with you.
Questions about AI Agent Development
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent completes tasks: it reads, decides and takes actions in your systems, within limits you set.
How do you stop an agent from making mistakes?
Agents get narrow permissions, every action is logged, and risky steps need a person to approve them. We test against real cases before launch and monitor afterwards.
Does it work with our CRM or help desk?
Usually, yes. If the system has an API, we can connect to it. We confirm this during scoping.
What does an agent cost to run each month?
Running costs depend on volume and the models used. We estimate them during the prototype so there are no surprises.