AI opportunities become concrete
You see exactly where AI creates value in your enterprise — and where it doesn't.
We help Mittelstand leaders turn AI hype into concrete, low-risk next steps — without breaking what already works.
Structured strategy, not just advice.
You see exactly where AI creates value in your enterprise — and where it doesn't.
Every recommendation respects your existing SAP and enterprise setup.
A phased roadmap your team can execute without external dependency.
From problem mapping to implementation.
Workflow automation, AI assistants and process optimization.
IntegrationAPI design, data flows and cross-system connectivity.
StrategyRoadmapping, vendor-neutral advice and technology assessment.
ToolingTool selection, extension choices and fit for real operations.
AdvisoryStrategic leadership, architecture guidance and technology governance.
WorkshopsDiscovery sessions, strategic alignment and decision frameworks.
People who know SAP and enterprise systems rarely know AI. People who know AI rarely understand how corporate data flows. We sit at that intersection — and bring both to the table.
The German Mittelstand is under pressure to adopt AI, but most advice comes from either pure tech companies that don't understand enterprise constraints, or traditional consultancies that sell AI as a slide deck. Brasa was founded to close that gap: senior technology judgment that connects AI possibilities with the reality of SAP, BTP, Microsoft and legacy systems — turning hype into concrete, low-risk next steps.
Real experience with SAP, BTP, Microsoft 365 and enterprise platforms — not theoretical knowledge from a slide deck.
Generative AI, agentic AI and intelligent automation applied where they create leverage — without breaking existing systems.
State-of-the-art integration patterns that connect SAP, cloud platforms and AI services with less friction and better scalability.
Cloud-first, security-first decision-making that respects existing investments, real constraints and operational continuity.
Understand. Map. Design. Implement.
Learn the problem, the people involved and the goal.
See where tools, handoffs and delays break down.
Use design thinking to shape and test the best path.
Build, improve and support the change.
A few clear lines are enough to start.
Paper-based work, manual tasks, disconnected systems or automation ideas.