Analysis and process identification
Understanding the organization, its processes and business objectives. Identifying areas where AI can create the greatest value.
AI solutions for organizations
We design and implement AI solutions for companies that expect a structured delivery model, data security and measurable impact on operational performance. We apply AI where it supports real business processes.
Governance
Secure implementation model
Integrations
Integration with existing systems
Scaling
Support for enterprise environments

Platforms and components used in implementations






AI models we work with




Challenges
Every implementation starts with a real problem, not with technology. These are the challenges organizations of 10–200 people most often bring to us.
Teams lose hours every day re-keying data, handling email and building reports by hand.
ERP, CRM and SaaS tools don't exchange data — information is copied between them manually.
Documents and procedures live across drives, inboxes and people's heads — hard to find.
Cases move through the company too slowly, with no control over deadlines, status or ownership.
Calls and customer requests overwhelm the team at peak hours and after working hours.
AI tools enter the company chaotically — without governance, compliance or data oversight.
Solutions
Custom systems, automations and implementations in the Microsoft ecosystem — with governance and security from day one. Pick the area that hurts your business most.
Custom systems, AI agents and automation for companies of 10–200 people.

An autonomous agent that runs processes without human involvement.

Eliminate manual work with n8n, Make and Power Automate flows.

Voice customer service running 24/7 without an agent.

A web system built from scratch with AI at its core.

Connect ERP, CRM and SaaS tools into one data flow.
Copilot Studio, Power Platform, SharePoint and Azure — AI within the Microsoft ecosystem.

AI agents and knowledge bases built on the Microsoft platform.

Automate tasks and flows within Microsoft 365.

Low-code business applications on the Microsoft platform.

Intranet, document workflow and a company knowledge base.

Search company documents and knowledge with AI.

Automatically read and process invoices and documents.

Microsoft cloud and infrastructure for business.
vCISO, NIS2 and audits — security governance for IT implementations.
Next step
In a short meeting, we will help you prioritise the right area, choose the right implementation path and define the next step.
Delivery process
We deliver AI implementations in a structured and predictable way, ensuring full control over every project stage — from analysis to scaling and growth.
Understanding the organization, its processes and business objectives. Identifying areas where AI can create the greatest value.
Designing the architecture, selecting technologies and preparing an implementation plan with integration, security and scalability in mind.
Building the AI solution, integrating it with organizational systems and testing for stability.
Production deployment, monitoring and optimization of models and processes.
Ongoing support, solution development and rollout of additional AI use cases as the organization evolves.
Stage 1 of 5
Predictable implementation process
Integration with existing systems
Scalable enterprise solutions
Advantages
We combine advisory, implementation and accountability for business outcomes, making AI initiatives predictable, useful and ready for enterprise environments.

Enterprise
Projects for large organizations
Business-first
Decisions driven by outcomes
Governance
Control and security
We design AI solutions around measurable operational targets, productivity and quality improvements rather than technology alone.
We deliver projects with large-scale structures, team responsibilities and corporate standards in mind.
We connect AI solutions to the tools and processes already in use, so delivery supports day-to-day work instead of disrupting it.
We address access control, data quality, compliance and oversight of AI solutions from the start of the project.
We build solutions that can grow with the organization and cover additional processes, teams and use cases over time.
Case studies
Real projects from European mid-sized companies — from OCR invoice processing to custom AI systems in manufacturing. Every implementation with concrete ROI and measurable operational impact.

GRUPA KRES sp. z o.o.
Stoneworking / stone processing · 20 people, 100 orders a month
GRUPA KRES orders — from inquiry through measurement, calculation, production to installation — lived in 6 different tools. We built a dedicated system with AI: OpenAI parses customer inquiries, generates preliminary quotes based on historical orders, runs the pipeline from first contact to installation. All 100 monthly orders in one system, time from inquiry to quote down from 5 days to 1 day.
1 day
from inquiry to quote (from 5–7 days)
100
orders a month in one pipeline
0
orders lost post-rollout
Kontakt
Filling out the form takes just a moment, and we will get in touch to understand your requirements.
