With br.AI.n, from idea to production-ready and trustworthy AI solution in just a few weeks
Enterprise AI solutions development without compromising on quality, stability, or compliance.
Enough with AI projects that never get past the proof of concept: companies today need solutions that quickly deliver real value.
Together with br.AI.n, we deliver scalable, robust, and tailor-made AI solutions that go directly into productive operation. Our experience from numerous successful projects is incorporated into every implementation.
Thanks to the Java-based toolkit and standardized process control with BPMN, we accompany you through the entire journey from the initial idea to live operation, whether in the cloud or on-premises. If desired, we can also take care of ongoing operations with clear SLAs and full control.
The br.AI.n platform is the link between data, AI models, and business processes. It allows for the modeling of complex workflows with a clear standard (BPMN), flexible integration with a wide variety of data sources and tools, and thus the development of production-ready AI applications. Whether in the cloud, on-premises, or in sovereign infrastructures – br.AI.n offers a robust, scalable foundation for the rapid and secure deployment of Generative AI and agent technologies within the enterprise.
Core advantages:
Five Steps to Business Value with AI
From complex transformation to rapid success with br.AI.n.
AI projects vary in complexity. In some cases, the path forward requires a comprehensive redesign of the data and application landscape, as well as a restructuring of relevant business processes. However, measurable added value can often be achieved in a short time.
With the br.AI.n platform, bottleneck processes can be automated in just six weeks, and the return on investment is often achieved within a few months or even weeks. The path to get there typically involves only five clearly defined steps, which can be implemented by an agile team in about a week each.
1. Process Mining with Industry Expertise
From analysis to target process with AI added value.
Process Mining
Process Modeling
BPMN
For over 25 years, we have supported business-critical projects in Automotive, Finance, Retail, Public Sector, Industry, and other sectors. Together with business departments, we identify and model processes that can benefit from AI. The target process model with AI support is then depicted in standardized BPMN diagrams and seamlessly integrated into br.AI.n workflows.
2. Data Architecture and Integration
Foundation for every AI-powered process.
Data Architecture
Data Integration
Governance
Compliance
Performance
Every AI-supported process is data-driven. A well-thought-out data architecture and robust data integration are crucial for success. We integrate data sources directly into the br.AI.n workflows, ensuring consistency, performance, and efficiency. At the same time, we ensure that data governance and compliance—including GDPR—are adhered to at all times.
3. Connect and configure models and tools
The right building blocks for the AI workflow
LLMOps
MLOps
AI Agents
MCP
At their core, generative AI applications consist of three elements: a defined or dynamically self-adapting workflow, the AI models used (LLMs, SLMs, etc.), and the tools that these models utilize. Whether trained specialized models or generic components – we select the best combinations for potential use cases and optimize them through precise configuration, and if necessary, training or finetuning. This creates a robust and efficient workflow on the br.AI.n platform.
br.AI.n in Action: Application Review Reimagined with Low-Code and AI
Discover insights from the adesso Digital Day event now in the blog post.
Built with br.AI.n: Automated Compliance Audits
How AI automates compliance audits and makes processes more efficient – discover it now in our blog post.
4. Add Guardrails, Tests, and AI Governance
Security, Quality, and Compliance for Productive AI.
Guardrails
Automated Testing
Validator
EU AI Act
ISO 42001
For AI applications to be production-ready, they need clear guardrails: Guardrails ensure that results remain consistent and safe. Automated tests guarantee quality and stability, with a special focus on AI scenarios. This is complemented by AI governance and compliance measures, such as according to the EU AI Act, ISO 42001, and GDPR. Here, we rely on the Validator platform and our expertise, among other things, to ensure reliable and compliant implementations.
5. UI, Deployment, and Operation
From API to productive go-live.
API-first
Cloud
On-Premises
DevOps
Service Level Agreement
Depending on the use case and company policies, a custom frontend or UI is developed and integrated, as br.AI.n workflows are API-first. The application is then deployed for final testing and productive operation – either on-premises or in the cloud, including sovereign German clouds. We handle the implementation using DevOps methods and offer Managed Application Services with clearly defined SLAs upon request.
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