Support & back office
The same questions over and over, long waiting times, knowledge stuck in people's heads and tickets - not in a system.
05 - AI adoption
AI that works day to day.
We bring assistants, automation and knowledge search into your existing processes - connected to CRM, documents and line-of-business systems. With a clear scope and measurable value.
Who this fits
Mid-sized companies and teams that already run their processes digitally - and lose hours to repetition.
Sales & CRM
Leads, notes and follow-ups are spread across tools. Status is missing, and the wrap-up costs hours.
Specialist departments
Policies, manuals and legacy documents are all there - but nobody finds the right passage quickly.
IT & product
Pilot chatbots with no link to real data. We connect models to your systems - including rules and governance.
What we deliver
Building blocks you can book on their own or as one end-to-end setup.
AI assistants
Internal or customer-facing assistants for FAQs, quoting support, onboarding and specialist questions - with clear limits and logging.
Process automation
Classification, summaries, routing and wrap-up for tickets, emails and forms - wired into your workflows.
RAG & knowledge search
Retrieval across manuals, contracts, wikis and tickets - answers with sources instead of unsupported generalities.
CRM & system integrations
Connections to Bitrix24, Shopware, Symfony/Laravel backends and APIs - so AI works where the work happens.
Approach: value before model choice
We start with the process and the data - not with the loudest model. The architecture stays maintainable; cost and data protection are part of the plan.
- Use case and success metric put down in writing
- Data sources, permissions and PII boundaries clarified
- Pilot with staging, evaluation and a fallback path
- Handover with runbooks, monitoring and optional maintenance
How adoption runs
Four steps - from workshop to stable operation.
Scoping
Workshop: processes, data, risks, quick wins. Result: a prioritised use case list and a rough business case.
Pilot
A narrow slice on staging: prompting/RAG, integration, evaluation against real examples from your daily work.
Integration
CRM, tickets, documents and permissions. Observability, cost limits and human-in-the-loop where needed.
Operation
Go-live, training, metrics. Optional: maintenance, model updates and a rollout to further processes.
What you can build on
As pragmatic as our development and maintenance work - only with AI building blocks.
No black box pilot
You see the architecture, the data flows and the cost frame - before anything goes “live”.
Integration, not a demo
We plug into CRM and line-of-business systems - not just a chat UI without context.
Ongoing support available
After go-live: monitoring, prompt and index upkeep, SLA - the same as in our maintenance packages.
Example setup (sample case)
Internal assistant for support teams: RAG across the knowledge base and ticket history, connected to Bitrix24, escalation to people whenever confidence is low. Target metrics: faster first response, fewer repeated follow-up questions, traceable sources.
RAG
Bitrix24
FastAPI
Human-in-the-loop
Frequently asked questions
Short and honest - the way we talk in a kickoff.
Do we need our own LLM?
Usually not. Many use cases run on API models plus RAG and a clean integration. We look at self-hosting when data protection, latency or cost call for it.
What about data protection and GDPR?
We clarify data classes, processing agreements and storage locations before the pilot. Sensitive fields can be masked, excluded or processed on-premises only.
How quickly do we see value?
Typically a measurable pilot within a few weeks (one clear task, one channel, one metric). Scaling follows once the pilot holds - not before.
Does AI replace our team?
No. The point is to take repetition and searching off people - decisions and escalations stay with humans wherever quality matters.
Can you connect to existing Symfony, Shopware or Bitrix systems?
Yes. That is exactly where we start: APIs, webhooks, CRM fields and existing auth - instead of a parallel island solution.
What does it cost to get started?
After a short discovery we name a fixed budget for the workshop and the pilot. No open-ended invoices without a scope. We clarify the details under Contact.
Ready for your next AI step?
Describe briefly which process you want to unload - we come back with a concrete proposal.