A FIELD GUIDE TO AI FOR SMALLER BUSINESSES

Make AI useful.
Start with your business.

Find where AI can take work off your team’s plate. Choose a worthwhile first project, test it carefully, and build on what works.

No AI background needed. No email required.

YOUR AI ADOPTION JOURNEY

One useful step at a time.

SMALL SCOPE · REAL WORK

Your first pilot

One process. A clear owner. A result you can measure.

→

From a real business problem to a measured result.

Designed for SMEs People stay in control EN + PL resources
START WITH THE EVERYDAY

Sound familiar? Start here.

Useful AI projects begin with a recurring problem, not a particular model.

Too much time on repeat

Copying information, sorting emails and rewriting documents leave less time for work that needs your judgment.

Explore the guide →

Customers waiting for answers

Find questions that recur, prepare useful drafts and keep a person responsible for the response.

Explore the guide →

Knowledge in too many places

Help staff find approved information across documents, without ignoring source access and confidentiality.

Explore the guide →
PRACTICAL STARTING POINTS

Less repetitive work. More room to think.

View all use cases →

Illustrative example — not a customer result

THE QUICK WINS WORKSHOP

Your next useful project may already be on your task list.

Bring together the people who do the work. Map the process, count the time, and shortlist opportunities in a focused half-day workshop.

Run your own workshop ↗
  1. 01Map the work
  2. 02Count the time
  3. 03Find the friction
  4. 04Test the AI fit
People stay in control

Know where your data goes.

Compare deployment options, understand your responsibilities, and keep human review where it matters.

Understand data & security →
Services

From a useful question to a working solution

Services →
FAQ

Questions before you start

Do we need our own model?

Usually the first decision is whether an approved existing feature or configured service can solve the task. Compare it with a simpler non-AI alternative before considering custom training.

Can we use company data?

Only after checking the data category, purpose, permissions and provider arrangement. An EU region or paid account alone does not settle the question.

Will this replace staff?

The guides focus on task changes and released capacity. Decisions about roles, staffing and how time is used belong to the employer and require their own assessment.

How quickly can we see results?

The proposed proof-of-value window is 4–8 weeks after prerequisites are ready. Access, integration and data gaps can extend it. Agree a bounded scope before estimating.

Practical AI. Measurable progress.

A sensible first step. A clearer next move.

Assess your starting point yourself, or work through it together.

Practical notes, occasionally.

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