Technology · AI · Business · Delivery

From chaos
to decisions.

I help companies roll out AI safely and measurably - where it genuinely brings order to daily work, not where it happens to be trendy. First I understand how you work today. Then I show where change makes sense. With measurement before and after.

Get in touch → See focus areas
Sound familiar?

Most companies don’t lack ideas for AI. They struggle with not knowing where to start safely - and whether it’s worth it at all.

Your team is drowning in repetitive work.

Emails, reports, hunting for information, copy-pasting data by hand - hours every week that add no value.

AI raises more questions than answers.

You hear that you "must adopt AI", but you don’t know what will really help and what will only create mess and risk.

You worry about data and security.

You don’t want to feed company information into random tools or become dependent on something you don’t control.

Earlier "rollouts" fizzled out.

Lots of slides, little impact. Missing someone who delivers and says plainly when something isn’t working.

If you recognise even one of these situations - this is exactly the moment to start with a conversation, not with a tool.

How I help

I don’t sell AI for its own sake. I help you see where technology will genuinely lighten your team’s load - and safely take the first step that delivers a measurable result.

Less chaos, clear priorities

You know which AI topics are truly worth pursuing and which to drop - and why.

Time given back to the team

Repetitive, tedious work moves to automation; people return to what needs a human.

Decisions on numbers, not impressions

We measure before and after, so you know whether the change actually pays off.

How I work

One predictable way of working.

Without judging how you operate today. With a safe start and an exit at every stage.

01

I understand how you work today

First I look at what your daily work really looks like - without judgement and without ready-made conclusions. A good rollout starts with understanding, not with a tool.

02

I measure the baseline (manual baseline)

Before we change anything, we establish today’s state: how much time, how many steps, how many errors. That’s the reference point we compare everything against later.

03

I roll out in small, safe steps

We start where AI relieves the team fastest and where risk is lowest. A small, controlled step - with care for data and security.

04

I measure the result (before/after)

After the rollout we check the real outcome against the baseline. Numbers, not declarations. If there’s an effect - it’s there in black and white.

05

Stop / Adjust / Scale

Based on the measurement we make an honest decision. We scale only what truly works. What doesn’t work - we stop.

This way you don’t risk a large, uncertain transformation - you take a series of small, measurable steps, each of which has to prove itself.

Where AI pays off fastest

We most often start in one of these areas - that’s where results show up earliest.

Knowledge & search

Quickly finding information, documents and answers scattered across the company.

Reporting & decisions

Less manual data gathering, faster and more confident grounds for decisions.

Sales & proposals

Smoother preparation of offers, replies and materials for clients.

Processes & automation

Relieving the team of repetitive, tedious work.

Marketing & visibility

Faster content and material creation without losing quality.

You don’t have to choose right away. Often the first conversation is enough to see where your biggest, safest return is.

Specifics, not promises

10+ yrs

at the intersection of technology, business and management.

CEO

SoftKraft - accountable for people, products and results.

13

completed rollouts.

before / after

every rollout measured against the baseline.

“An IT company spent an average of 23 hours preparing a single proposal. We started by measuring the process and identifying where the most time was actually being lost.

We rolled out a targeted AI solution in the quoting workflow. Sales passed information to an AI Agent that asked for missing details - exactly the ones the production team had most often requested before. Only complete, structured data reached production. The technical team assessed feasibility, prepared assumptions, pricing and key information. Then the AI Agent, using a dedicated skill and the company template, drafted the proposal: broken down into tasks, milestones, team composition and pricing.

The result? Proposal preparation time dropped from 23 to 8 hours. We automated tedious, repetitive work, while people stayed where they truly add value: in decisions, analysis and substantive assumptions.”

Time per task −65%*
~23 h
~8 h
Before After
Marek Petrykowski
About me

I’m not speaking from theory. I run a technology company and make these decisions myself - where it’s worth letting AI in, and where it’s just risk and cost without payoff. I’m accountable for people, results and whether a project is truly delivered, not just nicely presented.

That gives me a simple rule I bring to every engagement: we roll out where it makes sense and will hold up - otherwise there’s no point. I’d rather say “I wouldn’t touch that at your company” and keep trust than add another tool nobody uses a month later.

I do this because I love the moment when someone says: “I didn’t know it could be this simple.” Technology should give people time back, not take it up operating another tool - and that’s what I stick to in every engagement.

in linkedin.com/in/marek-petrykowski

Let’s talk - especially if you’re not yet sure whether AI makes sense for you.

The first step is a short 30–60 minute conversation, no strings attached. Together we look at where AI will genuinely help you and where it would only add risk. No spin, no hard selling.

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