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Use Cases Services Security Team Partners References Intro call DE
Use Cases Services Security Team Partners References Book a free intro call → Deutsche Version →

We make AI economically viable for your business.

We help companies take their digitalisation initiatives to the next level. Together we identify and optimise processes where AI creates real economic value. From the first analysis through prototypes and integrations to secure cloud or on-premise operation, we develop solutions that are efficient and remain controllable at the same time.
Free 30-minute intro call→ View services →
✓Make processes more efficient ✓Optimise costs & resources ✓Controllable AI with clear access rights ✓Cloud or fully on-premise
01 Services

What you get from us.

Many companies have already digitalised their processes and used classic automation potential. AI and agentic systems now open up the next stage: systems can understand information, prepare decisions, connect different data sources and increasingly carry out tasks independently within defined boundaries. 
AI advisory
“Which processes can be made more efficient with AI?”
Vendor-neutral advice from the first assessment to implementation planning: free intro call, kick-off workshop, as well as architecture, data protection and strategy questions. You get an honest assessment and a clear roadmap before you invest.
Details → Agent solutions
Agent solutions
“How do we implement a specific use case effectively?”
Your AI assistant for a specific process: built by us, tuned to your data and processes. We start with a prototype so you see results faster and we get first feedback faster.
Details →
Support for your AI systems
“Who makes sure our AI stays reliable?”
We support you with cost and performance optimisation, model comparisons, further development, regular quality and security checks and much more.
Details → Automated governance
Automated governance
“How do we keep control over our AI systems?”
We make your AI use auditable: ISO/IEC 42001, EU AI Act, automated compliance evidence for less documentation effort and lower liability risk.
Details → AI sovereignty
AI sovereignty
“How do we best implement local AI systems?”
Your data stays on your premises: on-premise operation on local hardware for your confidential and regulated areas.
Details →
Our principle: right-sized

Not every task needs the largest model and not every process needs a complex agent architecture. We choose models, data flows and system architectures so that quality, speed and cost are in a sensible balance.

Quality Speed Cost
Among other things, we optimise:
Model usage
specifically optimised
Context and token consumption
specifically optimised
Cloud and infrastructure costs
specifically optimised
02 After go-live

Already running AI? Going live is only the beginning.

Models change, costs develop, permissions grow along with your organisation and new requirements appear. We make sure your AI systems stay reliable, secure and economical, with ChatGPT, Copilot, your own RAG systems or agents.

Quality & reliability
Recurring reference tests, factual accuracy, source grounding, comparison before and after model updates.
Governance & security
User and role permissions, data and tool access, audit logs, human approvals, employees who have left.
Models, architecture & cost
Evaluate and compare models, analyse cost per request, review cloud vs. hybrid vs. on-premise.
Further development
Analyse usage and user feedback, identify new use cases and data sources, build the AI roadmap.
Existing systems too: whether your AI solution was built by SNCS, in house or by another provider: we analyse existing systems and take over their support on request, after a technical handover review.
View AI support → Book a free intro call
03 Security

Your agents only do what you explicitly allow.

Every agent is embedded in a control layer: it only sees the data you have approved and only acts within defined rules. Every action of the agent is logged. So you can put AI to productive use without giving up control over business-critical processes.

The principle at a glance Request within the rules
Your employee
“Which contracts expire in Q3?”
→
Control layer: every action is checked
Role permissions·
Data access·
Source requirement·
Audit log·
→
Approved data
Company wiki
File server
Business systems
✓ Answer delivered with source references · logged tamper-proof
Role-based permissions
Each agent only has the rights its task requires.
Data-room boundaries
Access only to explicitly approved data sources.
Source references
Every answer is backed by evidence and verifiable.
Audit trail
Every action is traceable and tamper-proof, for you and external auditors.
04 Team
Lukas Sparer, PhD

Lukas Sparer, PhD

Co-founder of SNCS and expert at the intersection of artificial intelligence, blockchain and data security.

Alongside his PhD in economics and social sciences, Lukas Sparer holds a Dipl.-Ing. in Technical Physics, combining deep technical knowledge with economic feasibility.

Alexander Neulinger, PhD

Co-founder of SNCS and expert in cognitive and decentralised services, system integration and data analysis.

Alexander Neulinger holds a PhD in economics and social sciences plus a Master of Science in Business Informatics, and brings hands-on experience from finance and IT providers.

Alexander Neulinger, PhD

Book a free intro call.

In 30 minutes we discuss your starting point, your use cases and possible next steps. No obligation, directly with the founders.

✓30 minutes, free and without obligation ✓An assessment of your use cases ✓Directly with the founders
Sparer & Neulinger Consulting & Systems GmbH
Hadikgasse 64, 1140 Vienna, Austria
office@sncs.at · +43 677 61174819
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