AI in business processes

AI for real business challenges

We use AI where well-structured processes and high-quality data allow it to eliminate specific manual tasks or improve decision-making.

AI only makes sense once processes and data are well organised.

Why this approach

Process before technology

First we understand and improve the workflow. AI applied to a chaotic process only produces chaos faster.

Data readiness

We check whether the data is organised, accessible and of sufficient quality for reliable answers.

Security

The solutions run in your Microsoft environment, governed by your access controls and internal AI policies.

Human review

AI makes a recommendation, while the final decision remains with the responsible person - with a clear record of what AI suggested.

Measurable benefit

We introduce every AI feature with a clear purpose: less manual work, faster access to information, fewer errors.

AI in five contexts

AI is not a separate field - we integrate it where we already work with your processes, solutions and teams.

EVERYDAY WORK
AI support for individual employees

Drafting content, summarising documents, translating and finding information - with clear rules on what is permitted.

CUSTOM SOLUTIONS
AI within business solutions

Extracting data from documents, classifying requests, drafting content and supporting process owners.

→ Custom solutions
INTRANET AND KNOWLEDGE
AI assistant for internal content

Employees ask questions in their own words, and the assistant finds answers in policies, instructions and news, citing the source.

→ SharePoint intranet
PROVEN SOLUTIONS
AI in existing products

In Team Connect, AI helps editors draft announcements and automatically translates them into employees' languages.

→ Proven solutions
AGENTS AND KNOWLEDGE
Workshops and AI agent development

An AI in Everyday Work workshop, an AI agent development workshop and coaching based on your specific use case.

→ Workshops and knowledge

Real-world use cases

Examples of AI capabilities we have already implemented in real solutions and business scenarios.

In use
Reading a vehicle registration document

AI reads the data from the document and enters it into the application - no retyping required.

In use
Drafting and translating announcements

The editor receives a draft and automatic translations into the languages used by employees.

In use
Searching internal policies

An answer with a cited source instead of searching through folders and attachments.

In use
Summarising long documents

A summary of a contract, report or minutes, highlighting the key points for decision-making.

In use
Request classification

AI suggests a category and priority for each request, which the responsible person then confirms.

AI in custom solutions

A real-world example: no more retyping data

For our client Svetkom, we integrated AI into an application for selling damaged vehicles. It automatically reads vehicle details from a photograph of the documentation and enters them into the system. What used to take hours of manual data entry - with the associated typing errors - now takes a single photo on a phone.

This is how we approach AI: not as a buzzword, but as a capability that eliminates manual work.
See the case study →

Workshops and agents

AI in everyday work

A workshop for a broad range of employees: choosing the right tool for each task, security considerations and effective prompting.

Building AI agents

Hands-on training in designing and building an agent that performs a specific task in your environment.

Coaching or a pilot

One-to-one support in building a solution or pilot around your specific use case.

→ All workshops and knowledge

Let's discuss AI opportunities in your processes

Together, we identify where your data and processes are already structured enough for AI to deliver real value - and where it makes more sense to start elsewhere.

Book a consultation