AI integration
Production AI systems, built inside your constraints.
We design and build agents, LLM workflows, retrieval systems and automation — and we take them into production, where data residency, auditability and clear ownership of decisions are not optional.
What we build
01Agents and workflowsMulti-step systems that read, decide within bounds, and hand off to people where it matters.
02Retrieval over your documentsAnswers grounded in your own contracts, manuals and tickets — with sources, inside your residency rules.
03Automation of back-office workIntake, classification, drafting and reconciliation, with deterministic checks before anything is final.
04Evaluation and operationsTest sets, monitoring and cost control so the system stays correct after launch, not just at the demo.
How an engagement runs
- DiscoveryWe map the process, the data and the risks, and agree what "good" means in numbers.
- PilotA working system on real data with a small group of users, measured against the agreed numbers.
- ProductionHardening, integration, monitoring and handover — or we keep running it with you.
Architecture principles
The same rules we built cysec.watch on.
These are not preferences; they are what makes a system defensible in front of your auditor, your works council and your customers.
Data residency first
EU hosting by default. Models and storage chosen to match your residency and contractual constraints.
A scrubbing layer before any model
Secrets, credentials and personal data are removed before a prompt is assembled.
Humans or deterministic logic decide
Models draft, summarise and propose. Anything with consequences is decided by a rule or a person.
Everything is traceable
Inputs, prompts, outputs and decisions are logged so any result can be explained later.
Have a use case in mind?
Bring the problem, not the solution. We will tell you within one conversation whether it is worth a discovery phase.