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SAP operates at the core of many global enterprises—from finance close and treasury to supply planning, sourcing, payroll, recruiting, commerce, field service, and analytics. Vitesse Group helps organizations run, migrate, optimize, connect, and innovate on SAP with pragmatic roadmaps aligned to measurable business outcomes. Our work focuses on enterprise applications, integrations, analytics, automation, AI enablement, and managed support across hybrid and cloud landscapes.
Where we routinely engage:
SAP ECC and S/4HANA (finance, sourcing, procurement, logistics, MM/SD variants, manufacturing footprints and plant structures), SAP data and reporting platforms, integrations through Cloud Platform Integration, extensions on SAP BTP, supply chain stacks including IBP alongside broader SCM tooling, and cloud solutions for workforce, procurement, commerce, customer experience, and digital manufacturing. We stay current with SAP Activate-style delivery disciplines, cutover rehearsal, regression strategy, organizational change readiness, security and authorizations discussions, master data stabilization, batch and interface monitoring, and post-go-live stabilization.
Wave planning, blueprint and fit-gap, configuration, prototyping, integrations, testing strategy, defect triage, data migration rehearsals, hypercare readiness, and multi-country template governance.
Product and release strategy, carve-ins and divestitures, modernization vs. greenfield framing, KPI baselining for finance/supply/workforce programs, and architecture reviews for integrations and extensions.
Interface cataloging with CPI and related patterns, OData flows, middleware handoffs where needed, RFC/BAPI modernization plans, citizen developer guardrails, APIs and event meshes where product roadmaps expose them responsibly.
Technical debt reduction, patching cadences, BASIS and basis-adjacent triage guidance, performance investigations, AMS collaboration models, backlog hygiene, and backlog burn-down dashboards for enhancements.
To keep plans accountable to real business workloads, most programs map to recognizable SAP portfolios: Finance & risk (record-to-report, order-to-cash variations, procurement-to-pay journeys), supply chain & planning, human capital & payroll where SuccessFactors footprints apply, sourcing & supplier collaboration, analytics & planning tools that sit alongside SAP transactional cores, and manufacturing & logistics operations where edge-to-core visibility matters. This page describes enterprise ERP and intelligent automation—not fringe technology categories.
SAP organizes its intelligence layer around Joule: context-aware assistants and agents that sit inside workflows instead of standalone chat windows. SAP describes Joule Work as a unified workspace spanning SAP and non-SAP footprints so users can express intent, consume trusted insights, and trigger guided automation. Specialized Joule Agents and assistants lean on harmonized SAP data semantics, business process context, approvals, segregation-of-duties expectations, Knowledge Graph grounding, and SAP Business Data Cloud where applicable—rather than hallucinating spreadsheet answers detached from your controls.
Underpinning experimentation and extension scenarios is the SAP Business AI Platform, geared toward embedding governed models alongside enterprise policies. SAP continues to broaden line-of-business coverage so finance controllers, treasury analysts, planners, recruiters, category managers, and customer-facing teams inherit AI assists where they actually transact.
For official positioning, feature evolution, ethics statements, privacy framing, skills catalogs, and release notes tied to assistants and agents start with SAP’s Business AI narrative: Joule & SAP Artificial Intelligence overview (SAP).
– Faster cycle times on recurring finance and sourcing tasks when automation is routed through governed paths.
– Reduced swivel-chair work by letting assistants pull harmonized KPIs tied to transactional truth.
– Controlled agent interactions: approvals, escalation rules, tenancy boundaries, and lineage back to authoritative records—not shadow spreadsheets.
– Adoption models that acknowledge change management alongside feature toggles.
– Roadmap synergy with ERP, HR, SCM, sourcing, CX, analytics, integration, security, monitoring, observability hygiene.
– Identify authoritative data domains and retention policies before layering agents on top.
– Document RACI among process owners, security, Basis/BTP admins, integrations, testers, auditors.
– Stage prompt libraries, escalation paths, deterministic fall backs, KPIs proving quality vs. hallucination ratios.
– Harmonize transports, transports-like promotion patterns, segregation-of-duty checks, SOC-style evidence capture.
– Operationalize backlog governance so AI features do not outpace patching, monitoring, alerting, KPI reviews.
In May 2026 SAP and Anthropic announced plans to extend their cooperation so Anthropic’s Claude family becomes a cornerstone reasoning capability across SAP’s AI-enabled roadmap, manifested through Joule, Joule agents, and the SAP Business AI Platform blueprint SAP discussed at Sapphire. The intent is pragmatic: Claude helps agents reason over complex, multi-step workflows within ERP, procurement, payroll, SCM, treasury, sourcing, CX, sustainability reporting, integrated partner data, and approved extensions—rather than insisting customers rip out hardened systems of record.
Illustrative agentic vignettes cited publicly include treasury teams briefing CFOs ahead of pivotal bank negotiations, HR practitioners resolving layered leave interpretations, planners rerouting in-flight replenishment shipments, and finance teams shortening quarter-end scramble when reconciliations, journals, explanatory narratives must stay policy compliant. Model Context Protocol (MCP) references signal SAP intends these agents to respectfully consume context pulled from approved integration surfaces, which matters for CPI/BTP-aligned integration shops.
For delivery partners the headline is interoperability: Claude augments—not replaces—the governance fabric SAP customers already negotiated. Procurement approvals, segregation of duties matrices, ICS narratives, archiving rules, personalization limits, logging, monitoring, alerting, patching SLAs—all remain foundational. Claude simply accelerates cognition when policy allows.
– Inventory use cases with explicit approval chains, risk appetite, data residency facts, and audit expectations.
– Validate integration patterns (CPI, APIs, events) before agents depend on them at scale.
– Define human-in-the-loop checkpoints for anything touching cash, payroll, personally identifiable fields, or regulatory submissions.
– Pair AI experimentation with regression suites, monitoring, synthetic transaction drills, fallback procedures.
– Treat partner statements as roadmap guidance; implementation specifics remain subject to SAP product documentation and contract entitlements.