AI consulting that ends in production, not in a deck.
CyberSymphony is an AI consultancy in Luxembourg. We help leadership teams decide where AI creates value, design the architecture to deliver it, and take the first use cases through to production — with the governance a European business needs.
The problems this solves.
Too many pilots, no portfolio
Teams are experimenting everywhere, but nobody can say which use cases matter, what they would cost to run, or what they are worth to the business.
A strategy that stops at the slide
The board has an AI ambition and the engineers have a backlog, and nothing connects the two: no target architecture, no sequencing, no owner.
Governance arriving late
Security, data protection and the EU AI Act turn up as blockers at launch instead of design inputs at the start.
Capabilities, in the order they're usually needed.
Not a menu to pick from — a sequence. Most engagements start at the top and stop when the business number moves.
AI strategy and opportunity assessment
We map your processes, systems and data against what current models can do reliably, and rank the opportunities by business value, feasibility and risk — not by hype.
AI adoption roadmap
A sequenced plan: which use cases first, what platform capabilities they need, what each stage proves, and when to scale. Readable by a board and by an engineer.
Enterprise AI architecture
Target architecture for models, retrieval, data, integration and operations — on your cloud, inside your security model, designed to be reused across use cases.
AI orchestration
The layer that keeps it coherent: shared platform services, evaluation, cost control and governance, so every new use case gets cheaper and safer than the last.
Generative AI implementation
LLM applications, assistants and agents built on your knowledge and your systems, with retrieval, guardrails and evaluation from day one.
Governance and evaluation
Model evaluation suites, human review workflows, audit trails and documentation designed for European data-protection and AI regulation, without slowing delivery to a halt.
Production deployment
Hardening, monitoring, cost management and enablement, so the system runs the day after launch — and your team knows how to run it.
How this fits the orchestration.
Consulting is where orchestration starts: it sets the score the rest of the engagement plays from. Every recommendation we make is one we would be willing to build — because usually we do.
Orchestration is the layer between your business goals and your AI capabilities — the part that decides what to build, how it fits together and how you know it's working. See how orchestration works.
Deliverables you can use.
Every engagement ends with something that works without us: documents your board can read, systems your engineers can run.
- Opportunity mapRanked AI use cases with value, feasibility, risk and the data each one depends on.
- Target architectureReference architecture, platform choices and the integration pattern for your systems.
- Adoption roadmapPhased plan with milestones, capabilities and decision points, costed per stage.
- Governance modelPolicies, evaluation approach, review workflows and documentation structure.
- A production pilotWhen you want to move: the first use case built, measured and running, with your team.
Usually played together.
Ready to bring your AI into tune?
Tell us the business goal. In a 30-minute call we'll show you how we'd score it — which instruments, in which order, measured how.