Services · purr.cz
AI integration
Practical AI adoption for your business — from automating routine work to AI assistants over your own data and team training.
- AI process automation
- Assistants over company data (RAG)
- Claude / OpenAI API integration
- Team training
AI where it actually saves hours
We don’t sell AI magic. We find the processes in your company where large language models demonstrably save hours — inquiry processing, document triage, drafting replies, internal search — and build solutions that plug into the tools you already use.
What we typically build
- AI assistants over company data — employees ask in natural language and get answers from your policies, contracts, and documentation (RAG).
- Routine-communication automation — drafted replies to emails and inquiries, summaries of long threads, data extraction from attachments.
- AI steps inside processes — categorization, translation, document checking, brief generation wired directly into workflows (Claude or OpenAI API).
- Team training — hands-on workshops on using AI safely and effectively in day-to-day work.
AI writes, I vouch
AI is no experiment anymore — the world’s biggest tech companies use it, and so do I. The difference is who stands behind the result: every solution I ship, I personally read, test, and sign. You worry about the benefit; the technical responsibility is mine.
Data safety
Every proposal includes a data map: which data may go to which model, what runs in an isolated environment, and how personal data (GDPR) is handled. We use APIs in no-training mode.
When it makes sense
- Your team spends hours on repetitive reading, writing, and sorting
- You process a high volume of inquiries or documents
- You want AI but don't know where to start without a shot in the dark
How we work together
- 01
Process & data audit
Where the hours go, what repeats, where the data lives. Without this, AI is a toy.
- 02
Pick a pilot with ROI
One process with clear payback. We measure today's cost — the baseline to beat.
- 03
Pilot in a few weeks
Claude/OpenAI API integration, a workflow shaped to your process, wired into your tools.
- 04
Measure vs. baseline
After a month we compare numbers. Works → expand. Doesn't → adjust or kill it.
- 05
Expand & train
More processes, team training, data rules. AI as part of operations, not an experiment.
What you get
- Working AI workflow in production
- Data map (what may go where, GDPR)
- Savings evaluation vs. baseline
- Hands-on team training
- Documentation and handover
FAQ
Where does AI actually pay off in a company?
Wherever people repeatedly read, write, or sort: answering emails and inquiries, summarizing documents, preparing briefs, categorizing data. We start from the process, not the technology.
Will AI leak our company data?
No. We build on APIs with no-training modes, and sensitive documents are processed in an isolated environment. Every proposal includes a data map — what data may go where.
Do we need our own IT team?
No. We build the tool, deploy it, connect it to your systems, and train your team. We can also run and maintain it for you.
How do we know it was worth it?
Before deploying we measure what the process costs today, and compare after. If the savings don't make sense on paper, we won't push you into the project.