What happens when enterprise workflow management meets the flexibility of consumption-based pricing? In this episode, we dive into the evolving economics of digital transformation and unpack how ServiceNow is shifting the paradigm with workflow tokenization.

Join us as we break down the mechanics of Assist Credits—what they are, how they function as platform currency, and why organizations are moving toward modular, token-based models to fuel their operations. We’ll explore how Assist Credits change the way teams budget, deploy, and scale technical support, implementation hours, and automated AI workflows across the Now Platform.

Whether you're a platform architect, an IT procurement strategist, or a CIO looking to extract maximum value from your enterprise investments, this deep dive will give you the playbook for navigating ServiceNow's tokenized ecosystem.

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Is your ServiceNow CMDB feeling more like a digital junkyard than a strategic asset? You’re not alone. Many organizations struggle to connect low-level infrastructure to actual business outcomes—and that’s where the Common Service Data Model (CSDM) and Service Mapping come in.

In this episode, we pull back the curtain on two of the most critical—yet widely misunderstood—foundations of the ServiceNow platform. We demystify the acronyms, clarify where CSDM ends and Service Mapping begins, and share actionable guidance on building a service-aware enterprise without getting lost in the weeds.

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Are your teams constantly overbooked, or are critical projects stalling due to resource bottlenecks? In this episode, we dive deep into the engine room of ServiceNow's Strategic Portfolio Management (SPM): Resource Capacity Planning in ServiceNow.

Whether you’re managing project portfolios, engineering squads, or enterprise shared services, aligning demand with actual human capacity is the difference between delivering value and burning out your best talent. We unpack how modern leaders move away from disconnected spreadsheets and into ServiceNow’s centralized workspace to forecast availability, balance workloads, and make data-backed trade-offs.

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