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AI Agents
for your business

They take the repetitive work off your hands, so you have time for clients, decisions, and growth.

What an AI agent is

A plain chatbot just talks. An AI agent acts - it runs a whole task in your business on its own, from the first step to a finished result.

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A client asks, the agent answers

Inquiries land in the evenings and on weekends: someone asks about a listing, someone's hunting for something specific. Before anyone calls back, they've already messaged three other agencies.

The agent asks about budget, location and size, searches the listings and pencils in a viewing. The lead is caught and booked before a competitor even replies.

The lead agent gets a qualified lead with a viewing booked, not a vague message at midnight.

Hi, I'm looking for a 2-3 bedroom apartment downtown. Anything available?
22:05
Plenty to look at. What's your budget, and does size or floor matter? I'll narrow it to the right listings.
22:05
Up to 600k, at least 50 m², not the ground floor.
22:06
Searching listings: 3 match the criteria Booking two open slots: Saturday 10:00 and 11:30 Saving the criteria to the CRM for the lead agent
Sent 3 matching listings by email, two viewings penciled in for Saturday. An agent will call tomorrow to confirm.
delivered · 22:06

Several steps, one task

A big order from a new client, payment deferred. Vetting them by hand means hours across registers and reviews. Or you take it on blind and hope they pay.

The agent rolls it into one task: it checks company registers, tax status and insolvency records, and scans the web. A clear picture before you sign.

One verdict instead of five open tabs.

30E · ~/agent
Check a new client before I sign a deferred-payment contract.
Confirming the company is real and trading: registration, tax ID, active status
Checking credit profile and payment history for late-payment red flags
Searching insolvency and debtor registers: bankruptcy, restructuring
Scanning the web for mentions and red flags
Pulling it into one recommendation
VerdictThe company is real and trading. But it filed for restructuring eight months ago, and two suppliers flag slow payment. On deferred terms, you're the one carrying the risk - take a deposit or invoice in stages before you commit.

One brief, a finished proposal

Putting a proposal together is work for several people: understand the need, scope it, price it, write the document. It takes days, and the client waits.

The agent handles all of it: from your meeting notes it scopes the work, prices it and writes the document in your branding. Along the way it checks itself - one step proposes the price, another pokes holes in it. You get a finished proposal, not a rough first draft.

  1. 01Meeting notes
  2. 02Scope
  3. 03Pricing
  4. 04Document
  5. 05Proposal

It works in the tools you already use

It reads data in your spreadsheets, books meetings, runs your CRM, keeps an eye on payments - and ties them into one system, not another app. Everything stays where you work; we move only what truly needs to move. See our guide to AI agents for small and medium businesses.

Email
Calendar
Sheets
CRM
Payments
API

Add agents as you need them

One task first, a whole process later. Take on more without hiring for the repetitive work.

Simple tasksMulti-step tasksWhole processes

Frequently asked questions

  • An AI agent is software that carries out a whole task on its own - gathering the data, deciding what to do, and updating your systems - without a person handling each step. A chatbot only answers a question, like your hours, a price or an order status, and stops there. An agent takes the next step: it pulls the data, drafts the response, and updates the system. In short: a bot answers the question, an agent sees the whole thing through.

  • An AI agent takes over whole tasks across your business, not just one. Inside the company it sorts incoming email, pulls numbers into your weekly report, and drafts documents from your templates. It also moves data between tools that do not talk to each other - the kind of ai workflow automation that saves hours every week. Facing outward, it handles routine customer questions, answers the phone, qualifies leads and books appointments. Most companies start with one painful task, often a back-office one, and add more once they see it run.

  • Yes - most of the agents we build never touch a customer. They run in the back office: reconciling data, generating reports, processing orders and documents, and acting as an internal assistant your team can ask instead of digging through files. This is where AI automation for business often pays off fastest, because the repetitive internal work is invisible to customers but eats hours every week. We usually spot three or four of these tasks in the first discovery call, before we scope anything.

  • No - and it should not. The conversations that build trust and win deals belong to you; that is human work. What the agent removes is the routine around them: the after-hours questions, the order-status checks, the first-line replies that never needed you in the first place. An AI customer service agent handles those instantly, day or night, and passes anything real to a person with the full context. You end up spending more time on the customer conversations that matter, not fewer.

  • Yes - we build a custom AI agent around how your business actually works, not a generic template. It draws on your documents, your data, your products and your tone, so it follows your process and your rules, including when to act on its own and when to ask a human. It connects to the tools you already run, internal or customer-facing: your CRM, calendar, email, spreadsheets, Slack or Teams, WhatsApp. That is why no two agents we build are the same.

  • Especially for a small business. When you are a team of two or three, the repetitive work - sorting intake, pulling numbers into reports, chasing confirmations - is exactly what keeps you off the work that grows the business. You do not start big: we scope one agent to one task, quote it up front, and get it working before adding the next. Start with the task you dread most on Monday morning; that is usually the one worth handing over first.

Next move

Let's deploy your first agent

Tell us about your process, we reply within 24h.