Services
AI from strategy to production.
Three clear areas of expertise — explained plainly, with concrete examples. No buzzword bingo. Just what we actually do.
AI engineering that doesn't stall at the prototype.
We build AI systems — from the first prototype to production. We know the tech stack in detail and what actually holds up: assistants and agents that work on your data, cleanly integrated into your workflows, built for stable long-term operation and continuously checked. Built to be understood, not a black box.
What we concretely do
Build assistants on your data
Chat and search assistants that answer questions from your documents and systems — sourced, not guessed (RAG).
Automate workflows with AI agents
Automate multi-step workflows — for example, understand an email and trigger the next action directly in the right system.
Select & integrate models
Choose the right language or vision model, integrate it, and tune it to your case where needed (fine-tuning).
Make data usable
Prepare and connect data so AI can work on it reliably (data engineering).
Secure operations & quality
Monitoring, automated quality measurement and stability for long-term operation — built in from the start (MLOps, evaluation).
Take prototypes to production
Validate small and fast first, then roll out in a scalable, controlled way — in the cloud or on-prem.
Example: a production knowledge assistant
We connect scattered knowledge sources (Confluence, SharePoint, tickets) into an assistant with guardrails, monitoring and automatic re-indexing — answers you can use in production, not another search box.
We keep an eye on the AI market — and advise on what matters for you.
New models, providers and tools every day and pricing that keeps shifting. Keeping track of it all alongside daily business is barely possible. We take that on: we watch the market, advise you on the current state of the technology, and give you steady footing. We guide you step by step, from the first assessment (AI readiness) to an AI-powered organisation that uses AI safely, in a governed and economical way.
What we concretely do
AI readiness check
An honest assessment: data, systems, skills and governance. Where do you really stand?
Tool & model selection
Which tools and models for which purpose — no hype, with an eye on value and cost.
Governance & permissions
Clear guardrails: what agents may do, who may do what — compliant with the Swiss DPA and the EU AI Act.
Set up an MCP landscape
Connect AI cleanly to your systems — via MCP servers your teams can run themselves.
Cost control
Transparency and control over ongoing AI costs, before they grow unnoticed.
Use-case roadmap & project lead
From a prioritised use-case inventory to delivery — guided hands-on.
Example: from scattered initiatives to a clear roadmap
We map existing AI efforts, set governance guardrails, and introduce an MCP tool landscape that teams run on their own — instead of sprawl without cost control.
We have the SAP AI roadmap under control for you.
With its SAP Business AI platform, SAP is pursuing a clear — at times overwhelming — AI strategy. We grew up with SAP technology, which makes us a natural fit for the intersection of SAP and AI. We help you understand this roadmap, bring in the useful tools in a context-aware, organisation-relevant way, and grow with the SAP Business Suite.
What we concretely do
SAP AI readiness check
What does SAP's AI strategy mean concretely for your landscape, licences and roadmap?
SAP Joule & Joule Agents
We bring Joule into productive use across your business processes — from standard Joule Agents and custom skills to pro-code agents and centralized governance through the SAP AI Agent Hub.
Tap into embedded AI
Actually use the AI features already built into S/4HANA and SuccessFactors.
Unlock SAP data for AI
Make structured data from S/4HANA and SuccessFactors reliably and securely usable for AI — unstructured documents are handled by Document AI.
Connect AI to SAP
Integrate your own models and third-party systems cleanly via SAP BTP and AI Core.
Example: a Joule-powered co-pilot
We embed SAP Joule into a real process, connect third-party systems via the SAP AI Foundation, and deliver an agent that understands real document flows and takes on tasks.
Where SAP is heading
AI is becoming deeply embedded across SAP applications, processes, and decisions. We help you understand SAP’s AI roadmap, identify opportunities, and focus on the initiatives that create real business value.
From ERP to an autonomous business suite
Systems no longer just document processes, they steer and run them — toward the “autonomous enterprise”, under the control of the business departments.
AI at the core, not an add-on
Deeply integrated into finance, supply chain, HR and CX — from “delivering insights” to “carrying out actions automatically”.
SAP Business AI platform as the foundation
SAP bundles BTP, Business Data Cloud and AI into the SAP Business AI platform — it provides the business context for reliable AI agents.
Joule as the control layer
Natural language instead of transactions: users state goals, Joule orchestrates processes and agents in the background.