AI Agent Development

AI Agent Development for Business Tasks

An AI agent is software that uses a large language model to plan and complete multi-step tasks — reading information, deciding the next step and taking actions in your tools — within permissions you define. We build AI agents for repetitive knowledge work such as lead research, email triage, document checks and CRM updates, with human approval for sensitive actions.

Problems we solve

Knowledge work that never ends

Teams copy information between emails, sheets and systems every day.

Too varied for simple automation

Tasks change slightly each time, so rule-based workflows break.

Slow turnaround

Requests wait in queues because each one needs a person to read and decide.

Unclear where AI is safe

Leaders want AI help without losing control over important decisions.

What you get

What we deliver

A fixed-scope proposal lists every deliverable, the timeline and any third-party costs before work starts.

Explore an AI Agent
  • Use-case selection and a written definition of what the agent may and may not do
  • Agent design with tools: email, CRM, spreadsheets, databases, APIs
  • Human-in-the-loop approvals for sensitive actions
  • Evaluation on real examples before launch
  • Logging of every action and monthly quality and cost reviews
How it works

How we deliver AI Agents

  1. Pick the task

    We choose a frequent, well-understood task with clear success criteria.

  2. Define limits

    Permissions, data access, approval points and what counts as a correct result.

  3. Build and evaluate

    We test the agent on real past cases and measure accuracy before go-live.

  4. Run with oversight

    The agent works alongside your team; we monitor quality and cost and expand gradually.

Where it helps

Typical scenarios, described as examples of the approach — not client results.

Example use case

Sales teams

Research new leads from public business information and draft first notes for review.

Example use case

Operations

Read incoming emails, classify requests and create tickets or CRM tasks.

Example use case

Finance

Check invoices against purchase orders and flag mismatches for a person.

Frequently asked questions

What is an AI agent?

An AI agent is software that uses a large language model to plan and carry out multi-step tasks, using tools such as email, CRM or databases, within limits you set.

What is the difference between an AI agent and a chatbot?

A chatbot answers questions in a conversation. An AI agent can also take actions — look up data, update records, draft documents — across your systems.

Is it safe to let an AI agent act in our systems?

Agents get only the permissions a task needs, sensitive actions need human approval, and every action is logged. We start with low-risk tasks.

Which AI models do you use?

We choose based on the task, data sensitivity and cost — commonly models from OpenAI, Google or Anthropic — and keep the design flexible so the model can be changed.

Get started

Explore an AI Agent

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