In one week we find where AI will pay off most in your company. Then we build the solution there and teach your team to use it.
CEOs expect their AI spending to grow more than twice as fast over the next two years. Companies buy licences and wait for something to change. Nothing will, until AI is part of the team’s daily work, someone is accountable for it and someone checks what it actually earns.
Which of these happen at your company?
In one week you’ll know which processes in your company are worth automating, what it costs and where to start. Before you spend real money.
The fee is deducted from the price of the build. If the build won’t pay off for you, we’ll say so.
This is what a sprint leaves you with. Example for a company of about 200 people.
| Process | Weekly | Cost / year | Saving / year | Decision |
|---|---|---|---|---|
| Handling quote requests | 120 h | €100k | €30–45k30–45%, McKinsey | Do it now |
| Handling complaints | 35 h | €29k | €9–13k30–45%, McKinsey | Stage 2 |
| Board reports | 12 h | €10k | too littlewon't pay back | Doesn't pay off |
We start with quote requests, because that is where the team loses the most time.
saved on quote requests alone€30–45k / year
Labour cost: €16 an hour (Polish average wage plus employer contributions). Hours are an example, we measure yours in the sprint. Sources: Statistics Poland, July 2026 (wages) · McKinsey, The economic potential of generative AI.
We don't roll out AI on a hunch. First we gather data from your company together, then we automate business processes, build AI agents or train your team where the numbers show a return.
Operations · AI agents
Inquiries, orders and documents land where they should, on their own.
Your team retypes data from emails into systems, hunts for attachments and chases people for approvals. More orders means more manual work.
We work with companies at the top of their markets. Every one of these rollouts has paid back for the client.
95%of AI pilots in companies show no measurable return. Our clients are in the other 5%.MIT NANDA, The GenAI Divide, 2025
One of the leading automotive companies in Poland · ~200 people
Return on investment reached· 2026
Distribution · ~80 people
Return on investment reached· 2026
B2B services · ~50 people
Return on investment reached· 2026
2 case studies. Use the left and right arrow keys to navigate, or swipe.
When a company is missing a whole product, we build apps and software with AI, from the idea and the prototype to the version customers use.
Paper is used by Poland’s biggest brands, galleries and agencies. Today we are scaling it globally together and building the structure around it.
Eleonora Rogińska
Co-founder
Krystian Krzak
Co-founder
“Our collaboration with Codeflo started with validating the idea and running Discovery – then together we built a solution that changes how agencies handle guests.”
This is for you if
Companies come to us when the decision on AI is made and the plan isn't there yet.
Tell us what isn’t working today. We’ll tell you straight whether we can help and which model to start with.
Typical reply within 24h.
Prefer to pick a time right away?
What it costs, how long it takes, where to start and what stays with you when we're done. Short and to the point.
Don't see your question? Write to us →By checking where the build will pay for itself. In the Discovery Sprint we spend a week going through your processes with your team, work out which ones are worth automating and leave you an implementation plan. With it you decide whether and where to bring in AI.
The Discovery Sprint costs €1,900. We give the implementation price in the plan, because it depends on scope: the number of processes, systems and integrations. If we go on to implement with you, we deduct the sprint fee from the implementation price.
The sprint takes one week and leaves you with a plan and a calculated return. How long the implementation takes follows from the plan and the scope, and your team works with us from the first week.
Repetitive ones built around documents or messages: handling orders and inquiries, entering data into the ERP and CRM, preparing for sales calls, reports. First we work out how many hours they take, then automate where it pays off. See what we build.
That's not the point. AI takes over retyping, searching and repetitive steps, while decisions and exceptions stay with people. We teach your team to work with the new tools so they use them every day.
A consultant leaves recommendations, a software house builds to a spec. We do both: we work out where automation pays off, build the solution together with your team and hand it over with full documentation.
Everything: the solution, the code, the documentation, the processes and the team that uses them. We take no equity and build no dependency on us.
