AI built around your company

Build AI that works the way your company works.

We use your knowledge, rules and tools to build AI for a real part of your business. Start with one problem. Test it in real work. Keep control of your data and what the system learns.

Works with the tools you already useYou keep control of your dataPeople approve important actions
How your system works
INPUTWhat your company knowsdocuments · CRM · past decisions
organise + protect
COREYour AI systemAI model · company rules · checks
use in daily work
OUTPUTBetter worksales · support · operations
Your corrections help the system improve.

Anyone can use the same AI models.

Your advantage is teaching AI how your company works—and keeping that knowledge.

What we build

Start where AI can make one part of the business work better.

We look for work that is slow, inconsistent or depends on a few experienced people. The first system should save time, cut costs, increase revenue or reduce risk.

01

Help sales teams prepare and follow up

Use past calls, proposals and CRM records to help people prepare for meetings, follow up and write quotes.

02

Give support teams better answers

Answer from your products, policies and solved cases. Show the source and hand the case to a person when needed.

03

Make repeated decisions more consistent

Turn the way your most experienced people make decisions into clear rules that teams can use and improve.

We work with the tools you already useHubSpotSalesforcePipedriveMicrosoft 365Your own systems

How we start

Build one small system. Test it in real work. Then decide whether to expand.

You do not need to train a large AI model from scratch. We can start with a leading model and add your knowledge, rules and checks. You keep those parts and can switch models later.

  1. 01
    Choose the problem

    Pick one part of the business where a better result can be measured.

  2. 02
    Build a working version

    Connect only the data and tools it needs. Decide which actions need a person.

  3. 03
    Test it with the team

    Measure the result, fix what fails and expand only if the system works.

Privacy

Decide where your data goes before the system uses it.

We agree what data is needed, who may access it, where it may be processed and which actions need approval.

01

Choose where it runs

Use your cloud, a private setup or another approved service. The choice depends on the data and the job.

02

Send only what is needed

We limit what outside AI services can see. We also agree how long data is kept and where it is processed.

03

Limit who can act

People and systems get only the access they need. Important actions can wait for a named person.

04

Keep a clear record

Save the questions, answers, actions and corrections you need to review what happened.

Why build your own system

Your competitors can use the same AI models. They do not have your company’s knowledge.

We start with the best model for the job. We add your knowledge, rules, examples and feedback. If it helps, we can later train a model for one of your tasks. You keep the parts that make the system work for your company.

General AI

A general tool that anyone can use

  • The same general knowledge
  • Built for broad use
  • Your setup may be tied to one product
Your AI system

AI built for the way your company works

  • Uses your company’s knowledge
  • Follows your rules and approval steps
  • Keeps your examples, corrections and tests under your control

The first project

Test one useful system before you make a large commitment.

  1. FirstAgree on the job and the result
  2. ThenBuild with a small, approved set of company data
  3. Before expansionLet the team use it. Continue only if it works.
Why Works Like Us
“Most companies do not need another AI demo. They need one useful system that fits the work and improves as their people correct it.”
Yusuf Young

Yusuf founded FunnelBud, a Swedish CRM company that has helped hundreds of customers. Before that, he implemented HubSpot and Salesforce systems. He started Works Like Us because powerful software often gives companies too little value when it does not fit the way people work.

Common questions

What you should know before we start.

Why not just use ChatGPT, Copilot or another ready-made tool?

Use them when they already solve the problem. We build something custom when AI must use your knowledge, follow your rules, work inside your systems or keep sensitive data under tighter control.

Do we need to train our own AI model?

No. We usually start with an existing model. If a smaller model trained for one task would work better or give you more control, we can add that later.

Will you replace our CRM or other main systems?

Usually not. We can connect the AI system to HubSpot, Salesforce, Pipedrive or other software you already use. Replacing a system is a separate decision.

Where does our data go?

We decide that together before we build. We agree where data is processed, which AI services may see it, who can access it, how long it is kept and which records are saved.

Find the first useful system

Where does work break down today?

Tell us what is slow, repeated, inconsistent or dependent on one person. We’ll reply with the first AI system we would test and the result it should improve.

Yusuf Young AB uses these details only to review and reply to your request. Write “Privacy request” in the message if you want us to send, correct or delete your data.