AI cuts the analysis from months to weeks.

Make the key choices that put your resources to good use. Build a strategy for your company.

We specialise in building a decision framework: a set of connected, fundamental choices that decide what the company will do and what it won't. AI cuts the analytical work from months to weeks, and the time saved goes into working with the people who carry out the execution.

Problem

The company has more initiatives than it can see through.

There is no criterion for choosing between them.

  • The same topic comes back to the leadership meeting for the third time and ends with “let's get back to it”. Decisions someone below the CEO should have made end up on the CEO's desk.
  • An opportunity is never turned down, just put in the queue. Next year's budget is this year's plus a few per cent.
  • Without a decision framework, resources get spread across too many initiatives and none of them crosses the threshold where it starts to make a difference.
Solution

Six steps to one decided logic of growth.

8 to 10 weeks, then a quarterly check that the choice still holds. Minimum workshops, maximum validation: you don't leave a workshop with another assignment, you leave with a decision.

01

Brief

Week 1

What decision the process has to deliver: ambition in numbers, time horizon, boundaries, scope.

02

Data

Weeks 1–3

Most of the analytical work is done on materials you already have: internal economics, market, competition, interviews with leadership and customers. We add external data.

03

Dilemmas

Weeks 3–4

We name 5 to 7 tensions that can't be solved by compromise, only by choosing A or B, or by changing the playing field.

04

Scenarios

Weeks 4–6

Three complete growth scenarios built on one template, with scoring and sensitivity tests, so they can genuinely be compared.

05

Choice

Weeks 6–7

Leadership makes one decision, the dominant logic of growth: where we play, how we win, what we don't do.

06

Initiatives and rollout

Weeks 7–10

We break the choice down into strategic pillars, activities and projects with an owner, KPIs and milestones for a 1- and 3-year horizon. The time saved in analysis goes into handing the strategy over to people, not into another presentation.

AI agent library

The analytical layer (data synthesis, market and competitor research, scenarios, scoring) is run by a library of AI agents. Judgement stays with leadership throughout: AI speeds up the preparation, not the decision.

In two weeks, you'll see where your plans disappear

Give us what you already have (meeting minutes, approved investments, budget shifts), and in two weeks we'll piece together your real strategy based on what was actually decided. One page, a two-hour discussion, and only then do you decide whether to go further.

Schedule a free 30-minute call

No commitment. No 60-slide presentation.

Have questions?

How long does building a strategy take?
The whole process takes 8 to 10 weeks. A quarter later, we check whether the choices still hold and whether the conditions they were made under have changed.
Do you also work on vision, mission and values?
Yes, we can deliver those too. But the key thing is to define the company's strategy, meaning its logic of further growth: where you play, how you win, what you don't do.
How exactly does AI help with building a strategy?
A library of specialised AI agents runs the analytical layer: synthesising internal data, researching the market and competitors, structuring scenarios and scoring. It speeds up the preparation of materials. Judgement and decisions stay with the company's leadership throughout.
How many workshops does it take?
Minimum workshops, maximum validation. The goal isn't to leave a workshop with another assignment, but with a decision.
What exactly do we get at the end?
A north star in numbers for the company and each division, 5 to 8 strategic choices, a cascade into pillars and projects with owners and KPIs, a governance plan and a rollout plan for handing the strategy over to people. The complete package.
What size of company is this for?
Mainly mid-sized and large companies (from roughly 150 employees), with the CEO and the board as the target group. Or owners and top management of smaller companies.
Do you have an example from a real client?
Take a look at our case studies, for example our work at CSAT. CSAT case study →
Aricoma
České Radiokomunikace
Kooperativa
ČPP
Czech Airlines Technics
Jungheinrich
Orea Hotels & Resorts
Heureka
Aricoma
České Radiokomunikace
Kooperativa
ČPP
Czech Airlines Technics
Jungheinrich
Orea Hotels & Resorts
Heureka