Service · Design and build

Custom AI agents that do real work.

We build AI agents that read, decide and act inside your tools, with a person in charge of anything that matters.

What it is

In plain terms.

An AI agent is software that can take a goal, look things up, use your tools and finish a task. A chatbot answers. An agent acts: it updates the CRM, books the meeting, checks the order, files the ticket.

  • Your team spends hours on repeat questions and admin.

  • Leads and customers wait too long for a reply, especially out of hours.

  • Work stops when one person is away.

  • Earlier chatbots gave wrong answers and frustrated customers.

If one of those is yours, this is the page

The agents we build

What you actually get.

Named, so you can tell whether it covers your case.

  • Sales agents

    Research leads, write first emails, follow up, book meetings.

  • Customer service agents

    Answer on WhatsApp, Instagram, web and email. Check orders. Hand off to a person.

  • Research agents

    Gather and summarise information on markets, competitors or suppliers.

  • Operations agents

    Process orders, bookings, invoices and stock updates.

  • Internal business agents

    Answer staff questions from policies and past work.

  • Multi-agent systems

    Several agents with named roles working together in one room.

What it looks like running

One run through, start to finish.

The shortest honest description of the thing working.

  1. 01

    A customer messages on WhatsApp at 11pm.

  2. 02

    The agent checks the menu and the stock.

  3. 03

    It takes the order and sends a payment link.

  4. 04

    It confirms the pickup time and logs it.

  5. 05

    Anything unusual is flagged for staff in the morning.

How we keep them reliable

The part that decides whether it holds.

  • Clear limits on what each agent is allowed to do.

  • An approval step in front of anything risky.

  • Testing against real past conversations before launch.

  • Monitoring after launch, so a drop in quality is seen rather than reported.

Process

How it runs.

Each step ends with something you can look at.

  1. Use-case workshop
  2. Agent design: tasks, tools, limits
  3. Build
  4. Test on real past cases
  5. Pilot with one team
  6. Full launch