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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.

Get in touch +372 5699 0777
01

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.

02

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.

  • Process mapping and candidate selection: where the repetitive work is and where results can be judged.
  • Data and security agreement: what AI may see, where it is processed and what must not leave the company.
  • Tool selection and configuration for your existing environment, for example Microsoft 365 and business software.
  • A pilot on real work with real people, comparing results with the current way.
  • Integration with systems so output moves on automatically instead of by copy-paste.
  • Training and a documented workflow, including who reviews the output.
03

What the client gets

The result is a solution in use with instructions, not a demo.

  • A list of processes where AI helps and where it does not.
  • A working solution in one or more concrete workflows.
  • Integrations with existing systems so information moves without manual transfer.
  • A written agreement on data use and access.
  • A trained team and a documented workflow.
04

Who it suits

It suits companies with clearly repetitive knowledge work: preparing quotes, processing documents, customer support replies, assembling reports or moving data between systems.

It also suits teams that already started using AI spontaneously and want it safely under rules before sensitive data ends up where it should not.

If you are unsure whether AI is the right step at all, start with IT consulting, which looks at the whole process rather than just the technology.

What the service covers

Process mapping

We review daily workflows and find where AI delivers the fastest, most measurable gains.

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, 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.

Frequently asked questions about AI implementation

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.

Write to us

We consult on your IT situation and help implement the solutions you need. We will contact you about your enquiry.

info@meixit.com+372 5699 0777