Agentic AI · AI agent development

Agentic AI development services

We build AI agents that do actual work. They read the request, make a plan, use your systems and get the job done, and they ask a person before doing anything that matters.

Not a chatbot. A colleague that follows your process.

A chatbot answers questions. An agent takes the next step: it checks the order, books the courier, updates the CRM and tells the customer what happened. That’s the difference, and it’s also where most AI projects get stuck, because acting inside real systems takes careful engineering.

That engineering is what we do. We start from one workflow that costs your team real hours, build an agent around it and put it in front of real users early. Then we measure what it gets right, fix what it gets wrong and widen its job only once it has earned it.

  • Agents live in production today
  • Human sign-off on risky steps
  • Works with your existing systems
  • Every action logged and testable

What our AI agents do

Operations agents

Work through queues of orders, tickets or claims, and hand the odd ones to a person.

Customer-facing agents

Answer, book and update on WhatsApp, chat or email, using live data rather than a script.

Document agents

Read contracts, invoices and forms, pull out what matters and route it to the right place.

Tool and API integration

Agents that call your ERP, CRM, courier or payment APIs through permissions you control.

Guardrails and approvals

Limits on spend, retries and loops, and a person approves anything risky before it happens.

Evaluation and monitoring

Test sets, traces and alerts, so you know how the agent is doing before your customers tell you.

How we work

  1. 1

    Pick one workflow

    We look for a task that’s frequent, costly and well understood. That’s where an agent pays off fastest.

  2. 2

    Build a working agent

    Connected to your real systems in a safe sandbox, tested against real past cases.

  3. 3

    Go live with a person in the loop

    The agent proposes, a person approves. We track accuracy until it’s good enough to act alone on the easy cases.

  4. 4

    Widen its job

    Once the numbers hold up, we hand it more of the workflow, or add more agents that work together.

Questions we often get

What is agentic AI?

Agentic AI is software that can plan and act toward a goal instead of only answering a prompt. An AI agent breaks a task into steps, calls tools and systems to carry them out, checks the result and tries again or asks for help when something doesn’t look right.

How is an AI agent different from a chatbot?

A chatbot replies. An agent acts. It can look up an order, change a booking or update a record, within the permissions you give it, and it keeps track of a task over several steps.

How do you stop an agent from doing something wrong?

Each agent gets only the access it needs. We set hard limits on spend, retries and loops, log every step and send risky actions to a person for approval. We also test agents against past cases before they touch live work.

Which models do you use?

Whatever suits the job. We use large models like Claude and GPT for hard reasoning, and small or open models like Llama when speed, cost or privacy matter more. Many agents mix both.

What does an AI agent cost to build?

It depends on the workflow, your data and how many systems the agent has to talk to. After a free 30-minute call we send a written plan and estimate, usually within a week.

Can the agent work with our existing software?

Yes. Most of our agents sit on top of systems clients already run, such as ERP, CRM, courier and payment platforms, and work through their APIs.

Tell us what you’re building

A senior engineer will reply within one business day.