PRACTITIONER POV
PCG’s point of view is shaped by real delivery experience across SAP, ERP modernization, AI governance, security, controls, and digital business execution.
ENTERPRISE INSIGHT MAP
FEATURED POV
S/4HANA success begins before implementation — in governance, data discipline, process clarity, testing strategy, and executive ownership.
S/4HANA READINESS
Too many programs begin with pressure, timelines, and technical plans — while the harder questions around data, ownership, governance, testing, and process readiness remain unresolved.
Read the POVBusiness ownership is unclear
Data readiness is overstated
Governance is treated as administration
Testing strategy is underfunded
The program is treated as a migration, not transformation
INTELLIGENCE THEMES
PCG’s perspective focuses on the places where technology, governance, control, execution, and digital credibility intersect.
What makes major system programs succeed or fail before configuration even begins.
How organizations govern AI as it moves from experimentation into finance, operations, and enterprise systems.
Why access, roles, controls, and risk decisions must be designed before go-live.
How modern websites, media, and visual systems influence credibility and business trust.
LATEST THINKING
Short-form practitioner perspectives on the issues that shape enterprise programs before they become expensive problems.
S/4HANA READINESS
S/4HANA success begins before implementation — in governance, data discipline, process clarity, testing strategy, and executive ownership.
AI GOVERNANCE
As AI moves into financial systems, governance shifts from innovation to accountability — and most organizations are not prepared for that transition.
SECURITY + CONTROLS
Security decisions made during implementation define long-term enterprise risk. Treating them as cleanup after go-live is a costly mistake.
EXECUTIVE QUESTIONS
PCG’s POV is built around the questions leaders should be asking before risk becomes expensive, visible, and difficult to unwind.
S/4HANA programs often begin because a deadline is approaching. Readiness has to be proven through governance, data, process ownership, testing strategy, and executive alignment.
As AI enters finance, operations, reporting, and ERP-adjacent workflows, leaders need visibility into how roles, review points, data quality, and accountability are changing.
Security, access design, segregation of duties, controls, integration testing, and audit readiness should be designed into the implementation instead of treated as post-project cleanup.
The goal is not only to launch technology. The goal is to create an operating environment that leadership, business users, auditors, and customers can trust.