The Future of Tax: Connected Modeling and an AI-Enabled Tax Function
Navigating the ever-changing global tax landscape
Turning tax complexity into strategic insight
Global tax rules are evolving at speed, impacting multinational organizations across the US and other major jurisdictions. From Pillar Two and corporate alternative minimum tax (CAMT) to increasing data and reporting demands, tax leaders are under pressure to deliver accuracy, agility, and insight, often with fragmented systems and manual processes.
KPMG believes the future of tax lies in connected data, advanced modeling, and embedded AI, bringing clarity and control to an increasingly complex tax landscape.
Why connected modeling matters
Despite ongoing transformation efforts, many tax teams still operate across disconnected enterprise resource planning systems (ERPs), spreadsheets, and local systems. The result is time‑consuming reconciliations, inconsistent data, and limited visibility when it matters most.
A connected modeling approach enables tax teams to:
For both global and US‑based tax functions, connected modeling supports a more resilient and forward‑looking operating model.
A smarter, more integrated tax function
KPMG Digital Gateway brings together tax data, workflows, analytics, and modeling within a unified digital environment. Rather than managing tax processes in silos, organizations can operate within a connected ecosystem designed to support consistency, transparency, and insight across jurisdictions.
AI and automation are embedded into core processes, helping improve efficiency, accelerate cycles, and enhance confidence in outcomes, without sacrificing control.
The result is a tax function that is better connected, more adaptable, and positioned to support the business with confidence. Explore our point of view on how leading organizations are modernizing their tax functions for what’s next.
Dive into our thinking
The Future of Tax: Connected Modeling and an AI‑Enabled Tax Function
Explore how to navigate the ever-changing global tax landscape
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