What should AI do for the company?
We determine the role of AI: speed up work, reduce costs, strengthen sales, enable new services or mainly manage risk.
AI strategy
AI strategy for your company.
You know AI is becoming important, but not yet what that means for your company. Should you redesign processes, build new services, change customer contact or focus on risk? Mirovina helps clarify that vision.
In 1-2 weeks we turn opportunities, dependencies and risks into a clear AI direction: what AI can deliver for your company, what you should not start with and which first step makes sense.
- AI vision
- Priorities
- Business case
- Risk and compliance
- Direction for leadership and IT
- Opportunities and risks mapped
- First step after the vision
What the decision is about
Do not apply AI everywhere. Decide what AI should mean for the company.
A good AI strategy answers management questions: where will AI change the work, the service, the cost base and the risk profile? We define that vision with you and turn it into choices leadership, IT and operations can use.
Where does the return come from?
We look at where AI can improve revenue, margin, speed or capacity and where the upside is large enough to act.
What should not be automatic?
Data, integration, privacy, security, liability and human control determine where AI may act and where people stay in control.
Where do you start responsibly?
Only then do we choose a first application that fits the vision, has enough value and is technically realistic.
In practice
A working solution, not an isolated experiment.
For real estate rental, site development and online advertising were made smarter: ad copy, campaigns, placement, analysis, reporting and follow-up. Less management work, deeper analysis and better advertisements.
This case is shown anonymously.
Real estate rental
Automating sites and advertisements
Faster from listing to campaign Choosing direction
Strategy starts with decisions at company level.
We do not look at only one use case. We look at what AI should change in the company. Where do you want to become faster? Where can AI improve margin? Where should you be careful?
Define the role of AI
We determine whether AI should mainly speed up work, reduce costs, strengthen sales, improve customer contact or enable new services.
Select opportunities
We choose the areas where AI can create enough upside to justify attention, investment and change.
Risks and conditions
We clarify which data, systems, security, compliance and human control are needed before AI may perform work.
Decision for leadership and IT
The outcome must be useful for leadership, IT and operations: direction, priorities, risks and a logical next step.
From vision to first step
A good AI strategy ends in a choice you can use.
After the vision, we choose where to start. Not because every strategy project should become a build project immediately, but because strategy only becomes useful when the next sensible step is clear.
Choose the first initiative
We choose a first initiative that fits the vision and has a good chance of showing visible results.
Weigh value and feasibility
We test business impact, data, system landscape, feasibility and risk before anything is built.
Sketch the build route
If building makes sense, we outline what is needed: data, integrations, human review, maintenance and a bounded first version.
Stopping is allowed
If an idea is too expensive, too risky or too vague, we say so. Then you choose a better place to start.
How we start
First establish where it pays. Then build in a controlled way.
The introduction and first proposal are free. Analysis, development and maintenance remain separate assignments, so you can decide after each phase.
Free introduction
We discuss which work costs too much time, money or people and prepare an initial proposal at no charge.
Short analysis
In 1-2 weeks we choose the use case, solution direction and first build scope, with business case and risk analysis if needed.
Development in defined blocks
We build in defined time-and-materials blocks. There is a go/no-go after every phase or main objective.
Adoption and handover
We provide documentation, handover and user training where needed. Management and maintenance are agreed separately.
Vendor-neutral
We often combine AI with regular software; sometimes regular software alone is the best solution.
Code remains adaptable
You have the right to modify the delivered code independently or have it modified by another party.
Frequently asked questions
What companies want to know about this.
When do you need an AI strategy?
When you know AI is becoming important, but are not yet clear what it should mean for the company, which opportunities have priority and where boundaries are needed.
Is this a workshop or report?
The report is not the endpoint. We use conversations and analysis to reach a useful AI vision: direction, priorities, risks and a sensible first step.
Can you also build the solution afterwards?
Yes, but only after it is clear what AI should mean for the company and which first step makes sense. Strategy comes first, development after that.
Is this AI advice or an AI implementation strategy?
It starts as AI advice at company level. Once the direction is clear, we translate it into a first step: what to tackle first, which data and systems are needed and which risks to manage.
Do we receive a complete AI roadmap for the whole company?
Only if that helps. For many mid-sized organisations, a sharp AI vision with priorities is more useful than a thick roadmap. We include a broader roadmap when the dependencies require it.
Is an enterprise AI strategy always necessary?
No. Most growing organisations first need a clear view of what AI should mean for their own company. We make the scope broader only when the organisation or dependencies require it.
Further reading
Related topics
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AI automation for organisations with 20+ employees. Mirovina builds and integrates custom AI solutions that perform complex work.
Next step
Which work currently costs too much time, money or people?
In one free introduction, we discuss where automation can help and whether a short analysis makes sense.