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AI Agent Development

AI agents that plan, use tools and get work done.

An AI agent does more than answer questions — it decides what to do next, calls tools and APIs, and works towards a goal. We build custom AI agents and multi-agent systems that operate inside your existing software, with the controls needed to trust them with real work.
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01The challenge

Agents are powerful, and easy to get wrong.

Unconstrained agents loop, call the wrong tools or take actions nobody approved. Without clear boundaries and observability, it is impossible to know why an agent behaved the way it did.

Successful agent systems are deliberately designed: narrow responsibilities, well-described tools, explicit checkpoints and complete traces of every decision.

02Our approach

How we deliver AI agent development.

  1. 01

    Map the workflow

    Break the job into steps, decisions and tools, and decide which parts an agent should own and which need a person.

  2. 02

    Design tools and roles

    Define precise tool interfaces, permissions and — for multi-agent systems — roles and hand-offs between agents.

  3. 03

    Build with guardrails

    Approval steps for consequential actions, spending and rate limits, timeouts and safe failure modes.

  4. 04

    Trace, evaluate, iterate

    Full traces of plans and tool calls, scenario-based evaluations and continuous tuning from real usage.

03Capabilities

What we build.

  • Custom AI agent development

    Single agents built for a specific job, such as triaging requests or preparing reports, using your APIs and data.

  • Multi-agent systems development

    Coordinated agents with distinct roles — planner, researcher, executor, reviewer — and structured communication.

  • Tool and API integration

    Secure connectors to CRMs, ERPs, ticketing, email, databases and internal services, including MCP servers.

  • Human-in-the-loop design

    Review queues and approval steps so people stay accountable for decisions that matter.

  • Memory and state

    Short- and long-term memory, task state and resumable runs for long-running work.

  • Agent observability

    Tracing, cost tracking and replay so every run can be inspected and debugged.

Deliverables

  • Agent workflow and responsibility map
  • Tool specifications and permission model
  • Production agent service with API or UI
  • Scenario evaluation suite
  • Tracing and monitoring dashboards
  • Operating guide for your team

Typical use cases

  • Request triage and routing across systems
  • Research and report preparation
  • Sales and operations follow-up
  • IT and internal service desk automation
  • Data reconciliation between business tools

Technology expertise

  • OpenAI
  • Anthropic
  • LangGraph
  • Model Context Protocol
  • TypeScript
  • Python
  • PostgreSQL
  • Redis

Listing implies no partnership or certification.

04FAQ

Common questions.

Ask us something else
What is the difference between an AI agent and a chatbot?

A chatbot mainly responds to messages. An agent pursues a goal: it plans steps, uses tools such as APIs or databases, checks results and continues until the task is done or it needs help.

When do you need a multi-agent system?

Only when a task genuinely benefits from separate roles — for example a planner and a reviewer — or from parallel work. Many problems are better served by one well-designed agent, and we will recommend the simpler option when it fits.

Can agents take actions without approval?

Only where you decide it is safe. We classify actions by risk and require human approval for anything consequential, such as sending external messages, changing records or spending money.

Which frameworks do you use?

We use established frameworks such as LangGraph where they help and plain, well-tested code where they don't. The choice is driven by maintainability for your team.

05Explore further

Related services, solutions and insights.

Your next chapter starts with a conversation

Ready to talk about AI agent development?

Tell us about your goals and constraints. We'll come back with honest advice on the best way forward.

Discuss an AI Agent