Process mapping
We review daily workflows and find where AI delivers the fastest, most measurable gains.
Service · Artificial intelligence
AI implementation
We embed AI into business processes, from consulting to a working solution. We map your processes, select the right AI tools and implement them in your systems. The result is an automated workflow your team knows how to use.
- Process mapping and candidate selection
- Data and security agreement in writing
- Pilot, integration, training
The problem
The problem AI implementation solves
In most companies AI has been tried but not implemented. Someone uses a chatbot at their own discretion, the output never reaches a system, and nobody knows what data goes in.
Implementation means something different from experimenting: a chosen process, a chosen tool, agreed data, a measurable result and a described workflow that still works when the initiator is on holiday.
If your aim is mainly to cut manual work in existing processes, see also AI automation. How AI adoption works inside a regulated environment is described in the Inbank story.
How we work
We start from the process, not the model
The fastest win usually comes from work done weekly whose output can be checked.
- 01Process mapping and candidate selectionWhere the repetitive work is and where results can be judged.
- 02Data and security agreementWhat AI may see, where it is processed and what must not leave the company.
- 03Tool selection and configurationFitted to your existing environment, for example Microsoft 365 and business software.
- 04Pilot on real workReal people, results compared with the current way of working.
- 05Integration with systemsOutput moves on automatically instead of by copy-paste.
- 06Training and a documented workflowIncluding who reviews the output.
What the client gets
A solution in use, with instructions, not a demo
It suits companies with repetitive knowledge work: quotes, documents, customer support replies, reports, or moving data between systems.
AI solution implementation
We configure and roll out suitable AI tools, from selection through testing to go-live.
Automation
We automate repetitive manual work: data entry, summaries, notifications and reporting.
Integrations
We connect AI with existing systems, Microsoft 365, business software and databases, so information flows end to end.
Data security
We agree which data AI may use and configure access and logging to match your security requirements.
Training and adoption
We train the team and document workflows so the solution stays in real use.
At Inbank, AI adoption was part of the €400,000+ saving delivered through Meixit.
Questions
Where should AI implementation start?
Where should AI implementation start?
Start from one concrete repetitive process, not a general AI strategy. Pick work done at least weekly whose output a person can verify quickly. That gives a measurable result within weeks, and only then is it worth expanding.
Will our data stay secure?
That depends on tool choice and configuration, which are agreed before implementation. We define in writing which data may be given to AI, where it is processed and who can access the solution. For sensitive data we prefer solutions that do not use submitted content for model training.
Does AI replace employees?
In our implementations AI takes over the repetitive part and leaves the decision to a person. In practice preparatory work gets done faster and people's time shifts to checking results and handling exceptions.
Can AI be connected to our existing systems?
Usually yes, if the system has an API or a standard integration option. Microsoft 365, common business software and databases are typically connectable. During mapping we flag systems where a direct connection is not possible and propose an alternative.
What happens when AI gives a wrong answer?
The workflow is designed so a wrong answer never reaches the client unchecked. In critical steps a person approves the output, and results are logged so mistakes can be reviewed and the setup corrected.
How long does implementation take?
For one clearly scoped process, a few weeks from mapping to a working solution is typical. Integration touching several systems takes longer. We give a firmer estimate after process mapping.