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AI Agent Development

Custom AI agents that get real work done

We design, build and test AI agents that understand requests, use your tools and data, and complete multi-step tasks reliably and securely.

What we build

AI agents for your business

Customer support agents

Answer questions from your knowledge base, look up orders or tickets, and hand over to a human when needed.

Internal copilots

Help staff search documents, draft reports, summarise meetings and query company data in plain language.

Document & data agents

Read contracts, invoices, specifications and test reports; extract, compare and validate the information.

Tool-using agents

Agents that call your APIs, databases and business systems to look up, create and update records.

Multi-agent workflows

Several specialised agents working together on research, planning, execution and review.

Agent testing & evaluation

Automated evaluations for accuracy, safety and cost before every release, which is our QA heritage.

How it works

Our approach

01

Use-case discovery

We pick the tasks where an agent saves the most time with acceptable risk.

02

Prototype

A working agent on your real data within weeks, measured against real examples.

03

Production build

Integrations, permissions, guardrails, logging and a user interface that fits your team.

04

Evaluate & operate

Continuous evaluation, monitoring and improvement after launch.

What you get

Deliverables

  • Working AI agent integrated with your systems
  • Retrieval (RAG) over your documents and data
  • Guardrails, access control and audit logs
  • Automated evaluation suite and quality report
  • Documentation and handover to your team
Technology

Tools we use

OpenAIAnthropic ClaudeOpen-source LLMsRAGVector databasesPythonREST APIsDockerCloud or on-premise

We choose technology to fit your stack, budget and data-privacy requirements, including self-hosted options.

FAQ

Frequently asked questions

What is an AI agent?

An AI agent is software built on a large language model that can understand a goal, plan steps, use tools such as APIs or databases, and complete tasks with little human input.

How long does it take to build an AI agent?

A focused proof of concept usually takes 2–6 weeks. A production-ready agent with integrations and testing typically takes 1–3 months, depending on scope.

Is our data safe?

Yes. We follow your data policies, can use private or self-hosted models, and apply access control, encryption and logging so data stays under your control.

How do you make sure the agent gives correct answers?

We build an evaluation set from your real cases and test the agent automatically on every change, measuring accuracy, safety and cost.

Let’s talk

Ready to put an AI agent to work?

Tell us about your goals. We’ll reply within one business day with ideas and a proposed next step.