AI Agent Development

We build agents that take a request, use information and tools you approve, and work through several steps—within limits and approvals you define.

An agent is useful when the path is not a single fixed workflow. For example: gather missing details, check a system, draft a reply or action, then wait for a human when the risk is high.

What we usually cover:

• What the agent is allowed to read and change
• Which tools and systems it may call
• When it must stop and ask for approval
• Logging so you can see what it did
• Handover so your team can run it day to day

How we build it depends on your stack. That can be custom code on model APIs (OpenAI, Anthropic Claude, and others), open-source stacks, or platform tools—including Microsoft Copilot Studio when you want the agent inside Microsoft 365. Copilot Studio is one option, not the only one.

If you only need one capability bolted onto an existing system (extract, classify, summarize), start with AI Integration instead.