WBSRocks: Scaling Growth with AI, Enterprise Software, and Digital Transformation
WBSRocks podcast features in-depth conversations on AI-enabled business models, customer experience, digital transformation, supply chain, eCommerce, industry 4.0, and enterprise software categories such as CRM, ERP, or analytics suites. The purpose of the show is to help CFOs, COOs, CEOs, and business owners with their daily commercial, operational, or financial challenges by taking a deep dive into business cases and processes, technology strategy and architecture, transformation initiatives, and business models. The show also offers an independent analysis of technology trends, various enterprise software vendors and solutions, and their mergers and acquisitions. Subscribe today to stay on top of digital transformation trends!
Episodes
What are the top discrete manufacturing ERP systems in 2026? Before comparing the leading options, it is important to understand what defines a discrete manufacturing environment. Unlike process manufacturing, which typically relies on formulas, recipes, percentages, yields, and batch-based production, discrete manufacturing revolves around identifiable parts and individual units assembled into finished products. Co...
Heavy equipment manufacturers often operate in complex environments where disconnected systems, operational resistance, and demanding project coordination can create significant barriers to transformation. Yet a successful ERP transformation requires far more than selecting and implementing new software. It requires alignment across engineering, production, supply chain, finance, and operations, while addressing the...
ERP projects rarely fail because of software alone. In many cases, the problems begin much earlier with weak governance, unclear decision rights, and teams that are not structured around the needs of the transformation. This webinar explores how organizations should build and organize ERP teams across the readiness, software selection, and implementation phases. It also examines how roles, responsibilities, and deci...
What are the top project manufacturing ERP systems in 2026? Before comparing the leading options, it is critical to define what project manufacturing actually means. In a true project manufacturing environment, the project is fundamental to how the company plans, executes, delivers, and financially manages its products and services. While many manufacturers track activities as projects, including contract printing a...
Selecting and deploying a Manufacturing Execution System (MES) is no longer simply a tactical shop-floor decision. It is an architectural choice that determines how effectively ERP, machines, production data, and emerging AI workflows work together. In this webinar, we examine Infor’s MES/MOM strategy and how it fits within the broader CloudSuite ecosystem. We also analyze how Infor is responding to the emerge...
Modern FP&A platforms such as Cube are evolving beyond traditional budgeting, forecasting, and reporting to become a broader foundation for finance operations and enterprise planning. As organizations look to reduce spreadsheet dependency, finance leaders must evaluate more than individual features, considering forecasting agility, collaboration, governance, data architecture, and executive visibility. In this w...
Configure-to-order manufacturing has unique ERP requirements because product configuration sits directly between the sales and production processes. Unlike make-to-stock, make-to-order, or engineer-to-order environments, CTO manufacturers rely on configurators to translate customer requirements into products that can actually be manufactured. These configurators may be used internally by sales teams or exposed direc...
Most ERP systems are effective at generating dashboards, alerts, exception reports, and operational signals, but they often stop short of helping organizations execute the required response. This creates a persistent gap between identifying an issue and taking action, resulting in operational latency across planning, approvals, and execution. To answer these questions, we examine how Taco, Inc. addressed this challe...
ERP selection is no longer just about modules, workflows, integrations, and reporting. Organizations must now understand the architectural differences between AI-powered and AI-native ERP systems. While copilots, AI agents, OCR, predictive analytics, and conversational interfaces may create similar user experiences, what happens underneath can be very different. These architectural choices can affect transactional i...
Engineer-to-order manufacturing creates some of the most complex ERP requirements because engineering is deeply embedded in the order lifecycle rather than completed before production begins. Products are typically highly customized, high value, and associated with longer sales and delivery cycles. Even after an order is won, engineering changes may continue while procurement, production, costing, and project activi...
ERP implementations rarely fail because of limitations in core functionality. Instead, they tend to break down in the final stages, where industry-specific workflows, company-specific processes, and complex edge cases drive extensive customization that can cost several times more than the ERP platform itself. This last mile is often where organizations lose control of project scope, budgets, and implementation timel...
Selecting a modern FP&A platform such as Drivetrain is no longer simply a budgeting or software decision. It is a strategic architectural choice that influences forecasting agility, data governance, cross-functional collaboration, and executive visibility across the finance organization. As CPM and EPM platforms continue to evolve, finance leaders must look beyond feature comparisons and evaluate underlying data...
Make-to-stock manufacturers operate in a supply chain-driven environment where products are produced in anticipation of customer demand and held in inventory until they are sold. Unlike make-to-order businesses that manufacture only after receiving customer orders, make-to-stock organizations depend on accurate demand forecasting, inventory optimization, production planning, and efficient distribution to balance cus...
Most ERP demonstrations are designed to showcase the software in its best possible light, but they rarely reflect the complexities organizations encounter during real-world implementation and daily operations. Carefully scripted scenarios, polished user interfaces, and curated demo data can create a false sense of confidence, leading buyers to focus on visible features while overlooking critical considerations such ...
ERP selection is no longer just a matter of comparing features. It is fundamentally an architectural decision that influences implementation success, reporting quality, operational scalability, and long-term business performance. While many organizations continue to prioritize functional fit and rapid go-live timelines, they often underestimate the importance of application architecture, data models, integration str...
Make-to-order manufacturers operate with a production model in which manufacturing begins only after a confirmed customer order is received, requiring close coordination across quoting, planning, procurement, production, and fulfillment. Unlike make-to-stock organizations that build inventory in anticipation of future demand, make-to-order businesses align operations around individual customer requirements, making a...
Selecting a modern FP&A platform such as Datarails is no longer simply a budgeting or software decision. It is an architectural choice that influences forecasting agility, data governance, cross-functional collaboration, and executive visibility across the organization. As CPM and EPM platforms continue to evolve, finance leaders must look beyond feature comparisons and evaluate underlying data models, integrati...
ERP projects rarely fail because of the technology itself. More often, they fail because success was never clearly defined from the outset. Broad objectives such as improving efficiency or modernizing systems may sound compelling, but they frequently result in scope creep, conflicting stakeholder expectations, and disappointing outcomes after go-live. This episode explores why poorly defined business objectives crea...
Service-centric organizations operate with business models that are fundamentally different from those of product-based companies, requiring ERP systems designed around people, projects, contracts, subscriptions, customer relationships, and financial management rather than inventory and manufacturing processes. Industries such as financial services, banking, insurance, SaaS, technology, media, consulting, and other ...
Finance organizations are under increasing pressure to deliver faster insights and support better decision-making, yet many still depend on fragmented systems, manual reconciliations, and static reporting that prolong month-end close cycles and delay financial visibility. As a result, AI-native ERP represents more than a technology upgrade—it fundamentally changes how finance teams operate, report, and scale. ...
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