We start with a collaborative 4-hour Ideation Workshop tailored to a specific business line or function (Finance, HR, Administration, Legal, etc.). Together, we identify high-impact, ready-to-transform processes—those with delays, manual coordination, or inefficiencies that Agentic AI can address. We co-create back-of-the-envelope business cases to estimate potential value and perform an impact-feasibility analysis to prioritize the most promising opportunities for implementation.

We conduct a focused two-day session to examine your selected use case in depth. Together, we assess data readiness and confidentiality needs, define end-user roles, and evaluate adoption potential. We refine the business case with realistic time and effort estimates while designing a value-tracking approach to ensure the solution delivers on its promise.

Over six weeks, we use process mining to reveal bottlenecks and identify the best starting points for Agentic AI integration. We then design, build, and test the agentic solution, addressing key challenges along the way. This phase enables precise value realization estimates and provides a validated foundation for broader deployment.

We design the overall integration architecture, develop interfaces, and align on Change Management with clear Adoption KPIs to ensure readiness across your IT landscape.

Platform: Over eight weeks, we deploy our GenAI OS platform with built-in guardrails, security, and governance, providing a robust foundation for multi-agent workflows across multiple business processes.

Data: We enable seamless integration of operational data from different departments and silos to ensure agents have AI-ready inputs. This includes establishing strong knowledge management, access controls, and policies for handling sensitive data, permissions, and retention requirements.

We design learning journeys and train end users to maximize adoption. This includes onboarding new process components into Agentic workflows to ensure continuous improvement and long-term success.