Acorel Brings AI Assistants and Shared Mailboxes into Everyday SAP Sales Cloud Work

Acorel, a Netherlands-based consultancy specializing in customer experience for SAP customers, recently published two posts that illustrate a consistent theme in its current work: closing the gap between where customer interactions actually happen and where SAP CX systems record them. For SAP CX teams weighing AI investments, both posts address the same underlying problem, incomplete customer data, from two different directions.

AI That Works Alongside the Field Sales Rep

In its first post, Acorel & Donna: AI-Driven Field Sales, the firm described a pattern it consistently saw among customers running SAP Sales Cloud and Service Cloud V1: low CRM adoption, fragmented data, and heavy administrative effort. Field sales reps spend hours capturing meeting notes, delay or avoid CRM updates, and lose insights that never reach the system. The consequences are incomplete customer records and unreliable forecasting.

Acorel’s response is a partnership with Donna, whose askDonna assistant is available for SAP Sales and Service Cloud in both Version 1 and Version 2. The assistant provides contextual briefings before customer meetings, captures and structures conversations during them, logs notes and debriefs directly into SAP afterward, and automatically creates follow-up tasks, activities, and opportunities. Notably, for the many organizations still on V1, Donna can be added as an extension layer on top of the current landscape, introducing AI capabilities without a full system replacement. At the same time, a V2 transition is still being planned.

Where This Fits in the SAPinsider Data

The approach aligns with SAPinsider research on where the value of AI lies. The 2026 SAPinsider Spotlight on orchestrating AI-driven process transformation, based on survey data collected in April and May 2026, found that 74% of SAP customers are still identifying use cases or experimenting with them. Workflow automation and task routing lead the value rankings at 30%. The use cases that pay off run inside real processes rather than in sandboxes. SAPinsider’s December 2025 AI Adoption and Maturity in the SAP Ecosystem benchmark similarly found that embedded AI within enterprise applications is the most common AI technology in use, and that assistants and copilots are often the entry point for organizations early in their AI journey. An assistant that eliminates double data entry in an existing SAP Sales Cloud process is precisely the kind of workflow-embedded use case that research identifies as delivering value today.

Shared Mailboxes Close a Long-Standing CRM Gap

The second post attacks the data completeness problem from the integration side. Acorel consultant Menno Pfeifer explains that shared mailbox support, a common customer request for many years, is now available through the SAP Sales Cloud email integration. Team addresses such as info@, sales@, and support@ handle much of the operational customer contact in most organizations. Yet until now, that communication has remained in Outlook, while personal mailbox traffic has synchronized with the CRM.

The setup builds on the existing groupware integration, using the Microsoft Graph API for Microsoft 365 environments. Once a shared mailbox is defined and access is granted by role, its emails become available in SAP Sales Cloud, where users can link them to tickets, accounts, or activities. Acorel highlights the downstream effects: more complete customer interaction timelines, improved CRM data quality, and fewer forwarding rules and manual workarounds for IT to maintain. Acorel also tracks the platform’s release cycle through quarterly briefings, such as its SAP Sales Cloud and Service Cloud Release 2602 briefing, which, since May 2026, cover both the C4C V1 releases and SAP Sales and Service Cloud V2.

Taken together, the two posts make a practical argument: AI assistants and integration improvements are attacking the same root cause. AI recommendations in a CRM are only as good as the interaction data underlying them, and both automated capture and shared mailbox integration exist to ensure that data is complete.

What This Means for SAPinsiders

V1 is not a dead end for AI. Organizations still on SAP Sales and Service Cloud V1 can layer AI assistants onto the existing landscape as an extension, gaining workflow automation value now while planning the V2 transition on their own timeline.

Prioritize AI use cases that remove work, not just advise. SAPinsider’s 2026 research shows workflow automation leads AI value rankings at 30%. Automated meeting capture and CRM updates fit that profile better than standalone advisory tools.

Fix data completeness before scaling CX AI. Shared mailbox integration brings team-based customer communication into the CRM record. SAP CX teams should close these capture gaps first, since every downstream AI and forecasting capability depends on them.