AI STRATEGY
AI strategy and a complete AI environment
An AI readiness assessment, a map of use cases ranked by value and risk, and then the environment itself, up and running.
PL / EN
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Every case study follows the same structure: what hurt, what we did, what changed and how we know it changed. No numbers without a source.
The detailed case studies are published in Polish. Tell us which one interests you and we will walk you through it in English.
An AI readiness assessment, a map of use cases ranked by value and risk, and then the environment itself, up and running.
An AI stack in the client’s own server room that talks to twenty years of their documents — without sending any of it outside.
A chatbot on the client’s site that answers from their own knowledge base, with the data staying in the EU.
A layer that detects and masks personal data before a prompt leaves the company — in Polish and in German.
Operational dashboards combining time series with reference data, plus serverless price monitoring for e-commerce.
A platform for expenses, cost invoices and business travel, integrated with Poland’s KSeF — an invoice comes in from a photo, an e-mail or a PDF.
An engine that codes cost invoices on its own, following accounting rules, and assigns them to accounts and cost centres.
A document flow wired into the ERP: from e-mail, KSeF and scans, with rule-based coding and reporting.
Our workplace platform — employee matters in one place instead of in an inbox.
Our ticketing system, where a QR code in the room replaces the „where is it exactly” description.
A multilingual quiz platform with a host mode and sessions for many participants at once.
One network standard replicated across eleven sites — redundant at the key layers, sold as a service.
A local data centre built to high-availability standards for a manufacturing plant.
Owner’s supervision of the IT scope while seven locations were being launched — from design to handover.
A corporate IT department’s requirements translated into something buildable inside someone else’s building.
Azure solutions for end clients — from architecture and network security to CI/CD pipelines.
Own infrastructure instead of subscriptions — system, CRM, web server and containers as the standard.
Over a thousand hosts across several hardware platforms in a single view — for engineers and for the business.
Technical support built from nothing for several operators and, ultimately, five thousand users.
Continuity for banking applications and processes: recovery plans, tests and infrastructure changes.
Shared services processes measured and standardised with Lean Six Sigma, then automated.
Security due diligence run by a corporate client, closed with no exceptions.
A robotic automation platform as a service for an entire banking group, with risk and control evidence.
An internal automation platform and RPA competence centre in a bank — from virtual machines to standards.
A Power Platform competence centre: governance, data policies and standards for the apps that get built anyway.
The enterprise architect’s role: system inventory, target architecture and operating frameworks.
The first conversation is free and non-binding. We usually reply within one business day.
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