AI appeal, no clear use case
Leadership sees the potential of AI, but there is no clarity on which process to start with or what it could cost.
AI Consulting
Where AI pays off in your business
We find processes where AI delivers a measurable effect and calculate ROI before any spending on development.
Chaotic AI experiments
Employees use different AI services each in their own way, with no data rules and no measurement of the effect.
You need an AI strategy
The company is ready to invest in AI systematically and needs a roadmap with priorities, budget and owners.
Team interviews and a process audit for automation potential
Opportunity map: where AI has an effect and what an error costs
ROI calculation for priority use cases
Solution choice: ready-made services, configuration or custom build
Rules for working with data and AI tools for your team
Implementation roadmap with priorities and budget
Team training on the chosen AI tools
PROCESS
[ 01 ]free · 30 min
[ 02 ]14 business days
[ 03 ]first 30 days of work
[ 04 ]ongoing, monthly cycle
From request to result
[ 01 ]free · 30 minClarity Session
We discuss your business and first ideas about AI. You leave knowing whether a deeper analysis makes sense. No sales pitch.
[ 02 ]14 business daysProcess audit
Team interviews, process and data analysis. You get an opportunity map with an estimate of the effect.
[ 03 ]first 30 days of workStrategy and roadmap
ROI calculation, solution choice, data rules and a prioritized implementation plan.
[ 04 ]ongoing, monthly cycleOngoing support
We help with implementation, track the effect and update the roadmap based on results.
Frequently asked questions
and answers
How is AI consulting different from custom AI development?+
Consulting answers what to do and why: where AI has an effect, what to buy, what to build and what it will return. Custom development is building a specific solution. If the task is clear, you can go straight to development. If not, consulting saves budget on the wrong experiments.
Do you always recommend custom development?+
No. Often the best solution is a ready-made service or configuring tools you already use. We recommend development only when ready-made solutions don't cover the task or cost more in the long run.
Do we need a technical team on our side?+
Not for consulting. You need people who know the processes: department heads and the employees who do the work. Implementation may require a technical team, or it can be handed to us.
How do we protect company data when using AI?+
Through rules and settings. We define which data can go into AI services and which cannot, choose plans and terms under which data isn't used to train models, and train your team on these rules. This is part of the roadmap, not a separate task for later.
THE FINAL STEP TOWARD A SYSTEMReady to turn growth
Ready to turn growth
into predictability?
Start with a free 30-minute Clarity Session.
