Move AI from experiments to production. We design, build and govern AI agents and intelligent automations that work inside your business processes, on SAP and beyond.
Artificial intelligence in business means agents and automations that read, decide and act inside your processes, not chat windows next to them.
Most organizations have already tried AI. Far fewer have AI running inside their business processes, with governance, monitoring and measurable results. The difference is the foundations: whether your processes and data are reachable, whether someone approves what an agent does, and whether the use case was worth building in the first place. We approach AI as integration architects, which is exactly the order these problems should be solved in.
SAP consolidated BTP, Business Data Cloud and AI Foundation into one platform for building and governing AI agents. We assess your readiness and deliver agents in Joule Studio and applications on SAP Build.
SAP funds partner-delivered AI projects for approved customers under a €100M program. Check whether your use case qualifies for a funded, production-ready deployment.
Practical automation with AI steps where they earn their place: n8n workflows, approval gates, anomaly detection and document processing. Vendor-agnostic, sized to the problem.
Run and operate variuos models from different vendors (including open-source) on SAP BTP with enterprise-grade lifecycle management, now part of the SAP Business AI Platform foundation.
Every use case starts with the same question: is this worth building? We answer it honestly, before any implementation begins.
Solutions deployed in your environment with monitoring, approval gates and adoption support, designed to be used rather than demonstrated.
Use case selection grounded in what your data and processes can actually support, so effort goes where results are measurable.
Agent registration, approval workflows and consumption monitoring built into every delivery, before agents multiply across departments.
Automation of repetitive tasks in document processing, data mapping and process handoffs, freeing your teams for decisions that need them.
Recommendations sized to the problem, whether the answer is SAP Business AI Platform, n8n, or no AI at all.
For qualifying SAP customers, delivery within the SAP funding program significantly reduces the cost of a first project.
Pick a slot that suits you. Thirty minutes, no obligation, with an architect rather than a salesperson. We will tell you honestly whether and how we can help.
Most organizations have moved past the question of whether to use artificial intelligence. The open question is how to move from scattered experiments to AI that runs inside business processes with predictable behavior and measurable outcomes. That transition rarely fails on model quality. It fails on foundations: data that agents cannot reach, processes without clear interfaces, and governance defined after problems appear rather than before. Treating AI adoption as an architecture problem first produces slower starts and considerably better results.
An AI agent is only as capable as the systems it can reach. APIs, event streams and integration flows determine whether an agent can read an order, check an inventory position or trigger a workflow, which makes integration architecture the practical ceiling of every AI initiative. Our background in enterprise integration across SAP and non-SAP landscapes is precisely the foundation AI projects need, and it is why we start every engagement with the reachability of your processes rather than the choice of a model.
