AI solutions for businesses

We build AI solutions for your business, including agents that take the expensive work off your team.

We find the costliest manual process, design an AI solution for it, and validate it in your real business environment.

Book a 15-min diagnostic See how it works
Starts with discoveryWe map before we build
Prototype in weeksOn your real data, not a demo
You decide go / no-goNo commitment until it's proven
Teams we've trained & built for
The real problem

AI only pays off when it does real work.

Most AI projects start with a demo and end in a drawer. Scattered experiments don't move revenue, and "AI training" leaves you with notes, not a working system. You don't need more theory about agents.

You need the right agent, plugged into one real process, doing actual work and measured in your actual numbers. That's the only version of AI that pays for itself. That's the only version we build.

Why we exist
Plenty of companies build agents because it's AI. We start somewhere else, with the real, expensive problem you live with every day, and only then ask which technology solves it. The technology is already here. The work is understanding the core of what's actually broken.
A. Szenk, founder of Revelab
A.SzenkFounder, Revelab
How it works

Six clear steps. One honest checkpoint.

You always know where we are, what comes next, and whether it's worth continuing.

A Revelab workshop in progress
  1. Step 01

    Discover

    We map where you're losing time and pick the one process an agent can take over first.

  2. Step 02

    Prototype

    We build a working agent around that process, on your real data, in weeks not months.

  3. Step 03

    Test & decide

    You watch it run against real scenarios. Then we decide together: does it move the needle?

    Go / no-go checkpoint
  4. Step 04

    Build & integrate

    We connect the agent to your existing tools and put it live. It delivers from day one.

  5. Step 05

    Hand it over

    We train your team to run and adjust the agent themselves, so you're never dependent on us.

  6. Step 06

    Review on your metrics

    We check the agent against the numbers we agreed on, and tune it as your market shifts.

Where an agent earns its keep

The kinds of work we hand to an agent.

If one of these is quietly eating your team's week, that's usually where we start.

Outbound and prospecting

Finds companies that fit your ideal customer, enriches the contacts, writes in your voice, and runs the follow-ups.

Research and monitoring

Watches the sources you care about, reads them in full, and delivers a ranked briefing instead of a full inbox.

Quotes and proposals

Reads the inbound request, pulls pricing and stock from your systems, and drafts the quote for a human to approve.

Inbound triage

Reads incoming messages and tickets, sorts them by intent, routes each one, and drafts the first reply.

Data wrangling

Moves information between your tools, cleans it, and keeps records up to date without manual copy-paste.

Recurring reporting

Pulls the numbers from your tools and assembles the report you rebuild by hand every week.

Not on the list? The pattern is the same: one repetitive, rules-based job, done on your real data. We scope yours in the diagnostic.

Proof, not promises

One expensive job. One agent. Time given back.

Three teams, three jobs an agent quietly took over.

B2B services · Outbound

The founder who was also the entire sales team

A six-person consultancy ran every bit of outreach through the founder. The agent now scans ~1,200 target companies a day, enriches the contacts, writes 15-20 personalised emails in the founder's voice, and books meetings straight to the calendar.

8%
Reply → meeting
2
Deals in 6 weeks
Strategy · Competitive intel

Every competitor move, flagged before Monday

An agent tracks competitors across media, web traffic, product changes, and market sentiment. Every Monday it delivers a report that flags the riskiest shifts and hands the team concrete action points, so you react in days, not next quarter.

5
Signal streams in the Monday report
0
Hours your team spends compiling it
Sales · Tender bids

Knowing how to win the tender before you bid

An agent reads new tenders, profiles the buyer and their past awards, and builds a tailored value proposition. It tells the team exactly how to shape the bid and which strengths to lead with, so they stop bidding blind.

0
Tenders entered blind
2×
Faster bid or no-bid decisions
In their words

From teams we've trained and worked with.

Senior people at companies who've seen how we think about revenue and AI up close.

"This kind of thinking should be the cornerstone for every new joiner, it answered questions I'd had since the day I started."

Tudor DincaOLX Group

"An enlightening session. It made clear how the organisation really works and how revenue actually gets generated."

Agnieszka MajewskaOLX Group

"A needed and fundamental part of growing a business, practical, not theoretical."

Team feedbackAutotrader
An honest filter

Who this is for, and who it isn't.

We'd rather tell you upfront than waste your diagnostic call.

✓ A good fit if…

  • → A repetitive process is quietly eating your team's hours
  • → You can point to one workflow you wish would run itself
  • → You'd rather see a working prototype than a strategy deck
  • → You want to start small and decide as you go

✕ Not a fit if…

  • → You want a six-month AI transformation programme
  • → You'd rather buy software and figure it out alone
  • → You're after a one-off training with no system behind it
  • → You need a guarantee before any prototype exists
How pricing works

You pay step by step. Each step earns the next.

No packages, no retainers, no commitment before you've seen an agent work.

01

Diagnostic call

A 15-minute conversation to see whether there's a process worth automating. No pitch, no obligation.

Free
02

Prototype sprint

In two to three weeks we map your highest-ROI process and build a working agent on your real data. You end with something running and an honest go/no-go, and this fee is fully credited toward your build if you continue.

Fixed price · credited
03

Build

Priced on the scope and value we've now both seen, never on a guess. Quoted only after the prototype has proven out.

Quoted per project
04

Ongoing

A light monthly check-in against the metrics we agreed on. No lock-in, cancel anytime.

Optional · monthly

You never pay for a full build before seeing one work. The prototype is the most you risk to find out.

Before you ask

The questions we get most.

How quickly do I see something working?
A working prototype in two to three weeks, built on your real data, not a canned demo. You see it run before any bigger decision.
What does it cost?
We scope that after the diagnostic, once we know the process. You only commit to a full build after the prototype has proven its value at the go/no-go checkpoint, so you're never paying for a system you haven't seen work.
What if the prototype doesn't deliver?
Then we don't build it. That's the whole point of the go/no-go checkpoint: you decide, honestly and with evidence, before committing to a full build. A prototype that proves an agent isn't worth it is still a useful, cheap answer.
Who owns and runs the agent afterwards?
You do. We train your team to run and adjust it themselves, so you're never locked into depending on us. The goal is a capability you own, not a subscription to our presence.
Start here

One call. One process. An honest read on whether an agent helps.

Book a 15-minute diagnostic. We'll look at where your pipeline leaks, and tell you straight whether an agent is worth building.

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No pitch deck. No obligation. Just a real look at your process.