Process layer
Which task does AI take over, which exceptions stay human and where is the business value?
AI implementation
AI implementation that delivers profit.
AI implementation is not about installing a tool. Mirovina builds a custom solution that takes work off your team and connects to your processes, data and existing systems.
As an AI implementation consultant, Mirovina combines process analysis, AI development, software engineering, system integration and adoption. You work with one accountable lead from the first decision to the working solution.
- Your data
- API integrations
- Logging and controls
- Adoption
- Your data and systems
- Control and security
- Daily operational use
Where implementation really sits
From prototype to software you can rely on.
An AI demo is quick to create. The value is in the implementation: making data reliable, managing permissions, handling errors, adding logging and ensuring people can use the solution in their normal work. We build and integrate the AI solution until it works in daily operations.
Data layer
Documents, databases, exports, APIs and existing systems are made usable for the application.
AI layer
Model choice, prompts, evaluations, checks and fallback logic are tuned to the task.
Application layer
User interface, workflow, system actions and manual controls make it usable in operations.
Operations layer
Logging, error handling, documentation, handover and maintenance keep it from remaining a pilot.
In practice
A working solution, not an isolated experiment.
Where direct import from exports was missing, data from online Google accounts was retrieved and processed through APIs and authentication keys. Missing capabilities were added with less manual work and faster delivery.
This case is shown anonymously.
System migration
Migrating through APIs and authentication keys
More robust data transfer From analysis to development
First define which work the solution should take over.
We do not start with a model or tool, but with work that takes too much time, creates errors or blocks growth. In a short analysis, we determine what AI can perform, prepare or check.
Understand the process and problem
We look at how the work really runs: who does what, which information is needed and where waiting time, errors or missed opportunities arise.
Choose the use case and solution direction
Together, we choose an application that can create value and is technically feasible. We can also prepare a business case and risk analysis if required.
Prepare an implementation proposal
You receive a proposal for a first solution that is large enough to create value and defined enough to build in a controlled way.
Implementation
An AI solution that works with your existing systems.
Value appears when AI becomes part of daily operations. That is why we build and integrate the solution around your data, systems, controls and way of working.
Build AI applications
We build the AI application around your process, such as document analysis, decision preparation, customer follow-up, planning, quality control or an AI agent.
Connect data and systems
We connect to what is already there: CRM, ERP, email, documents, databases, exports, portals, dashboards or APIs.
Adoption, handover and maintenance
We set up controls, logging, error handling, documentation and user training where needed. We make separate agreements for management and maintenance.
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.
Is this AI strategy or AI implementation?
AI strategy helps you choose where to start. AI implementation goes further: we build and integrate the solution that is used in daily work.
Do we already need an AI plan?
No. After the free introduction, we can start with a separate analysis. This results in a selected use case, solution direction and implementation proposal, with a business case and risk analysis if required.
Do you build custom solutions?
Yes. We use existing AI models and tools where that makes sense, but build the solution around your process, data, systems and controls.
Can you build an AI application using our own data?
Yes. AI with proprietary data is often where the real value lies. We connect documents, databases, CRM, ERP or APIs and handle the AI system integration needed for daily use.
How long does an AI implementation take?
The analysis takes 1-2 weeks and requires about 2-4 person-days. A first working implementation requires several weeks of effort. The calendar lead time also depends on your organisation, systems and availability.
Further reading
Related topics
AI strategy
AI strategy for organisations with 20+ employees. Define what AI should mean for your company, where to start and which risks to manage.
AI consultancy
AI consultancy in the Netherlands that combines business experience and technical delivery, from the first decision to a working custom solution.
AI automation
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.