AI products that plug into your real workflows.
We design and build practical AI experiences for your teams – copilots, chatbots and automation that sit on top of your existing tools and data. From PoC to production, built by engineers who understand SAP and enterprise systems.
Built for the enterprise
Production-ready AI products that integrate with your existing systems.
Your data stays yours
We build AI systems that run on your infrastructure or in your tenancy. Full control over data access, retention, and compliance. No data leaves your environment unless you explicitly configure it.
- Private Azure OpenAI or AWS Bedrock deployments
- On-premise LLM hosting options
- SOC 2 and GDPR-compliant architectures
- Audit logs and access controls
Grounded in your documents
Retrieval-Augmented Generation (RAG) systems that pull from your actual documentation, policies, and knowledge bases. Responses include source citations so users can verify and trust the output.
- Ingest PDFs, Word docs, SharePoint, Confluence
- Intelligent chunking and semantic search
- Source attribution with page numbers
- Real-time index updates
Native SAP connectivity
Our AI products connect directly to SAP ECC, S/4HANA, and BTP. Pull real-time data, trigger workflows, and surface SAP insights through natural language interfaces.
- OData and RFC connectivity
- ABAP function module integration
- BTP extension scenarios
- Fiori launchpad embedding
Popular AI use cases
We focus on use cases where LLMs augment your teams, not replace them.
An assistant that answers questions on your policies, SOPs, runbooks and SAP processes – with source citations your team can trust.
Copilots that help ABAP and other engineers navigate legacy code, suggest refactors and surface existing patterns.
Summarisation, routing and drafting for contracts, RFQs, emails and reports – with human-in-the-loop approval.
Analyze incoming support tickets, classify by urgency and topic, and route to the right team with suggested responses.
Extract structured data from invoices, purchase orders, and forms. Validate against business rules and post to SAP automatically.
Ask questions about your SAP data in plain English. Get insights, charts, and explanations without writing SQL or ABAP queries.
How we work
Tight feedback loops, small surfaces, measurable impact.
Map your data sources, workflows and constraints. Choose 1–2 high leverage journeys instead of a vague "AI for everything" plan.
Implement a small but real pilot – including UX, LLM prompts, RAG pipeline and observability, hosted on your stack or ours.
Harden, integrate, and roll out to more users. Add guardrails, access control and monitoring as we go.
Engagement models
Flexible engagement options to match your project maturity.
Workshop and scoping phase to identify the right AI use case.
- 60-90 min discovery workshop
- Use case assessment
- Data landscape mapping
- Technical feasibility report
- ROI & effort estimate
Build a working pilot with real data in 4-8 weeks.
- Full PoC implementation
- RAG pipeline or LLM workflow
- Basic UX and integration
- User testing with 5-10 users
- Observability & metrics
- Deployment guidance
Scale to production with full integration and ongoing support.
- Production-ready deployment
- Full SAP integration
- Security & compliance hardening
- Monitoring and alerting
- Team training
- Ongoing support & iteration
Ready to build your AI product?
Start with a discovery workshop. We'll map your use case, assess feasibility, and provide a clear roadmap from PoC to production.