Nine services across AI strategy and governance, enterprise AI, AI assistants, SAP and data. Each starts from a business decision rather than a technology, and ends with something your organization can run.
Most engagements combine two or three of these. If you are not sure where to start, a readiness assessment of four to six weeks is the usual first step.
AI Governance & RiskDecision rights, risk tiers and regulatory readiness.Explore service 
Enterprise AI DeliveryFrom use case to reliable production.Explore service 
Generative AI SolutionsAssistants, document intelligence and agent support.Explore service 
AI EnablementMicrosoft Copilot, ChatGPT, Claude and Gemini, adopted function by function.Explore service 
SAP Business AI & JouleAI inside the SAP processes you already run.Explore service 
S/4HANA & SAP BTPReadiness, extension and integration.Explore service 
Data & AnalyticsSAP and non-SAP data, reporting on shared definitions.Explore service 
Transformation & Operating ModelProcess, organization and value tracking.Explore service 
Practice
AI Strategy & Roadmap. AI strategy and roadmap services: a readiness baseline across strategy, data, technology, people and governance, a use-case portfolio scored on value, feasibility and risk, and a funded 12 to 18 month roadmap.
AI Governance & Risk. AI governance and risk services: decision rights, risk tiers, policies for data use and third-party AI, intake and review procedures, and readiness for the EU AI Act, NIST AI RMF and ISO/IEC 42001.
Practice
Enterprise AI Delivery. Enterprise AI delivery: solution design for your data and architecture, vendor-neutral platform choice, delivery through stage gates from pilot to production, independent delivery assurance and adoption.
Generative AI Solutions. Generative AI solutions for the enterprise: knowledge assistants over policies and documents, document intelligence, agent-assist for service teams, with retrieval, grounding, evaluation and governance built in.
AI Enablement. AI enablement for Microsoft 365 Copilot, ChatGPT, Claude, Gemini and other enterprise AI assistants: platform choice, readiness, data protection and governance, a pilot with measured baselines, then adoption step by step across each enterprise function, with agents and custom assistants built for the use cases each function owns.
Practice
SAP Business AI & Joule. SAP Business AI and Joule advisory and enablement: where AI adds value in finance, procurement, supply chain and asset processes, what SAP provides today, and how to switch it on, extend it or build alongside it.
S/4HANA & SAP BTP. Independent S/4HANA and RISE with SAP readiness, SAP BTP extension and integration architecture, master data and target landscape design across SAP and other systems.
Practice
Data & Analytics. Data strategy and governance, governed SAP data integration into enterprise data platforms, executive and operational reporting on shared definitions, and data foundations for AI.
Transformation & Operating Model. Transformation leadership and operating model design: program definition, process redesign, roles, funding and a center of excellence, change management and value tracking for AI, SAP and data programs.
A decision, a roadmap or an independent view. Typically 4 to 10 weeks, with 2 to 4 senior consultants, on a fixed fee.
A defined initiative delivered or overseen. Typically 3 to 12 months, with a senior lead and a delivery team; fixed price by milestone, or time and materials.
A capability run and improved over time, under agreed service levels, with a named service lead and a stable team.
Particular skills for a period, from 4 weeks, on time and materials.
Describe the decision or program in front of you. A senior advisor from the relevant practice replies within two business days.