Services
Intelligent automations that free your team's time.
We integrate intelligent tools into business process digitalisation: customer support, information retrieval, classification and automations with control and traceability.
Why it matters
Professional context: when this engagement creates real value.
AI is not a marketing goal: it is an accelerator. If the process is fragile, automation amplifies the problem. We start from use cases with defined inputs/outputs and verifiable ROI.
We design integrations with LLMs, knowledge bases and business rules, with attention to source quality, privacy and human oversight at critical points.
Who it’s for
Profiles and situations we work with most often.
Teams with repetitive requests
First-level support, operational FAQs and ticket routing.
Document-heavy organisations
Classification, search and summarisation across policies, manuals and internal archives.
Those digitalising without “AI washing”
Small, measurable interventions integrated into existing systems.
How we work
A concrete method — no generic packages.
01
Use case before the model
We define what to automate, what stays human and how success is measured.
02
Source quality
Up-to-date knowledge base, content ownership and clear limits on answers.
03
Secure integration
APIs, logs, permissions and GDPR alignment: no ungoverned isolated experiments.
What you get
Tangible outputs, not just slides.
- Use-case map and ROI priorities
- Assistant / chatbot or classification pipeline
- Integration with existing tools and channels
- Operational policies and system limits
- Quality monitoring and feedback loop
- Documentation for content maintenance
Stack and scope: LLMs, prompt engineering, RAG where needed, API integrations; always with controls on sensitive data and human accountability.
Typical path
Clear phases from the first conversation to release.
- 1
Assessment
Candidate processes, available data and risks.
- 2
Prototype
POC on a real flow with agreed metrics.
- 3
Integration
Controlled production rollout with supervision.
- 4
Optimisation
Prompts, sources, rules and continuous improvement.