SAP's AI portfolio spans Joule, Business Data Cloud, Signavio AI, and more — with new consumption-based pricing. We help you map opportunities, model costs, and build a roadmap that delivers ROI, not experiments.
SAP is rapidly expanding its AI portfolio — Joule for conversational AI, Business Data Cloud for data federation, Signavio AI for process intelligence, and embedded AI across S/4HANA modules. Meanwhile, new consumption-based pricing models replace predictable per-user fees with variable costs tied to AI usage. Without a coordinated strategy, companies risk scattered pilot projects that never scale, unpredictable AI costs, and missed opportunities where AI could transform operations.
Many SAP customers have run Joule demos or BTP AI experiments that never made it to production. Without a portfolio-wide strategy, AI initiatives compete for budget and attention with no clear prioritization framework.
SAP's shift from per-user to consumption-based AI pricing means your costs scale with usage — which is great when controlled, but dangerous without visibility. Early AI adopters are discovering unexpected bills as usage patterns emerge.
SAP's AI capabilities depend on unified, quality data. Most enterprises have data scattered across ECC, S/4HANA, BW, cloud platforms, and third-party systems. AI without a data strategy delivers hallucinations, not insights.
Business leaders want AI guardrails — who can use it, what data it accesses, how decisions are auditable. Without governance, AI adoption stalls at the proof-of-concept stage as legal, compliance, and security teams raise blockers.
A single, prioritized roadmap across all SAP AI capabilities — Joule, BDC, Signavio AI, embedded S/4HANA AI, and BTP AI Core — aligned with your business objectives and implementation capacity.
Detailed consumption modeling for each AI service with budget guardrails, monitoring recommendations, and optimization strategies to keep costs aligned with value delivered.
Skip the pilot graveyard. Our prioritization framework identifies the 3-5 highest-ROI AI use cases and sequences them for rapid deployment with measurable business impact.
Clear policies for data access, model usage, auditability, and responsible AI that satisfy legal, compliance, and security requirements while enabling rapid adoption.
Comprehensive services tailored to your SAP landscape
Systematic evaluation of AI potential across your SAP landscape. Map every module, process, and data source to SAP's AI capabilities.
Forecast AI costs under SAP's new pricing models. Model usage scenarios, set budget guardrails, and identify optimization opportunities.
ROI-driven framework to rank AI opportunities by business impact, implementation complexity, data readiness, and time to value.
Policies for data access, model usage, auditability, and responsible AI. Role-based controls, approval workflows, and compliance documentation.
Sequenced implementation plan across Joule, BDC, Signavio AI, and embedded S/4HANA AI with dependencies, milestones, and decision gates.
Executive sponsorship framework, champions program, training curriculum, and success metrics to drive adoption beyond the initial rollout.
A proven methodology refined across 100+ engagements
Map your SAP landscape against available AI capabilities. Interview business and IT stakeholders. Identify and catalog all potential AI use cases with preliminary ROI estimates.
Score and rank use cases by business impact, feasibility, and data readiness. Model consumption costs for priority scenarios. Build the portfolio-wide AI roadmap.
Define AI governance policies, establish monitoring and cost controls, assess data foundation readiness, and create the change management plan.
Launch the first wave of prioritized AI initiatives with clear success metrics, cost monitoring, and governance controls in place.
Measure results, optimize consumption, expand to additional use cases, and evolve governance as SAP's AI capabilities and pricing models mature.
Get a free migration assessment from our SAP experts. We'll analyze your current landscape and recommend the fastest path to S/4HANA.