Stage01
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
AI systems supporting
processes, decisions
and operational efficiency
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
The problems we solve
Every implementation starts with a real problem, not with technology. These are the challenges organizations of 10–200 people most often bring to us.
Manual, repetitive work
Teams lose hours every day re-keying data, handling email and building reports by hand.
Systems that don't talk
ERP, CRM and SaaS tools don't exchange data — information is copied between them manually.
Scattered company knowledge
Documents and procedures live across drives, inboxes and people's heads — hard to find.
Slow, unpredictable processes
Cases move through the company too slowly, with no control over deadlines, status or ownership.
Support that can't keep up
Calls and customer requests overwhelm the team at peak hours and after working hours.
AI without control or security
AI tools enter the company chaotically — without governance, compliance or data oversight.
Solutions
Our 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.
Systems and automation
Custom systems, AI agents and automation for companies of 10–200 people.
AI Agent
An autonomous agent that runs processes without human involvement.
Process automation
Eliminate manual work with n8n, Make and Power Automate flows.
Voicebot AI
Voice customer service running 24/7 without an agent.
Custom AI application
A web system built from scratch with AI at its core.
System integrations
Connect ERP, CRM and SaaS tools into one data flow.
Microsoft for business
Copilot Studio, Power Platform, SharePoint and Azure — AI within the Microsoft ecosystem.
Copilot Studio
AI agents and knowledge bases built on the Microsoft platform.
Power Automate
Automate tasks and flows within Microsoft 365.
Power Apps
Low-code business applications on the Microsoft platform.
SharePoint
Intranet, document workflow and a company knowledge base.
Knowledge base
Search company documents and knowledge with AI.
OCR and document processing
Automatically read and process invoices and documents.
Azure
Microsoft cloud and infrastructure for business.
Security and compliance
vCISO, NIS2 and audits — security governance for IT implementations.
Next step
Let’s review which solution best fits your organisation
In a short meeting, we will help you prioritise the right area, choose the right implementation path and define the next step.
Delivery process
AI implementation process in the organization
We deliver AI implementations in a structured and predictable way, ensuring full control over every project stage — from analysis to scaling and growth.
Stage02
Solution design
Designing the architecture, selecting technologies and preparing an implementation plan with integration, security and scalability in mind.
Stage03
Implementation and integration
Building the AI solution, integrating it with organizational systems and testing for stability.
Stage04
Launch and optimization
Production deployment, monitoring and optimization of models and processes.
Stage05
Support and development
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
Why organizations choose our AI solutions
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
01
Focus on business outcomes
We design AI solutions around measurable operational targets, productivity and quality improvements rather than technology alone.
02
Experience in enterprise environments
We deliver projects with large-scale structures, team responsibilities and corporate standards in mind.
03
Integration with existing systems
We connect AI solutions to the tools and processes already in use, so delivery supports day-to-day work instead of disrupting it.
04
Security and governance
We address access control, data quality, compliance and oversight of AI solutions from the start of the project.
05
Scalable solutions
We build solutions that can grow with the organization and cover additional processes, teams and use cases over time.
Case studies
Projects that delivered measurable results
Projects delivered for Polish companies – from manufacturing and trade to healthcare and legal services. Faster customer service, less routine work and full control over margins, with results expressed in numbers.
Customer service
Healthcare
Network of medical facilities, approx. 70 specialists · 15 weeks
Booking a visit at any time – an online registration system for Galileo Medical
Galileo Medical needed online registration that shows patients the real availability of around seventy specialists working across several facilities and online. We designed and implemented a registration system integrated with the clinic's medical system. Patients choose a specialist, service and time slot on their own, and the appointment goes straight into the doctor's schedule.
24/7
online booking without contacting reception
~70
specialists with up-to-date schedules in one place
Documents and knowledge
Industrial manufacturing
65 employees, 1 production plant · 8 weeks
A procedure in 40 seconds instead of 18 minutes – a knowledge assistant for production engineers
Production engineers lost more than two hours a day searching for current procedures among 4,500 documents accumulated over fifteen years. We implemented an AI assistant in Microsoft Teams that answers questions and always cites the source document. Finding a procedure now takes 40 seconds instead of 18 minutes.
40 s
to find a procedure (previously 18 min)
2 h
reclaimed daily by each engineer
Documents and knowledge
Legal services
14 lawyers and 6 administrative staff · 9 weeks
Two more hours a day for substantive work – an AI assistant for a law firm
Lawyers began each day with an hour and a half of preliminary contract review, and its quality depended on the experience of the person handling the matter. We implemented an AI assistant within Microsoft 365 that highlights high-risk clauses and draws on the firm's earlier opinions. Each lawyer gains two hours a day, and client data remains fully protected.
2 h
reclaimed daily by each lawyer
+45%
accuracy of risk identification by junior lawyers
Kontakt
Let’s talk about your needs!
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