Why Attend

Tax digital transformation is often framed as a technology challenge. Over recent years, tax departments have invested heavily in ERP upgrades, tax engines, workflow tools, data platforms, and AI pilots. Yet many transformation initiatives stall after the pilot phase, deliver limited return on investment, or remain dependent on a small number of key individuals.

The underlying issue is rarely the technology itself. Tax transformation fails when knowledge remains individual, implicit, or locally siloed. In increasingly digital and real-time tax environments, fragmented collaboration leads directly to fragmented tax positions, inconsistent interpretations, and elevated risk.

This webinar introduces the concept of Human-to-Human (H2H) stacks as the missing infrastructure for sustainable tax transformation. Rather than focusing on tools, H2H stacks focus on how tax professionals continuously share, validate, and refine knowledge through structured human networks supported by communication and training platforms.

Attending this session will help participants understand:

• Why tax digital transformation stalls even with advanced technology

• How collaboration breakdown becomes a governance and risk issue

• Why shared judgment is critical in AI-assisted tax workflows

• How human-to-human knowledge exchange enables speed and control

The session reframes collaboration not as a soft concept, but as a core component of risk management, consistency, and defensibility in digital tax.

Topics Covered

The webinar provides a structured exploration of how human-to-human stacks support modern tax organizations.

Key topics include:

• Why tax digital transformation keeps stalling: How over-reliance on tools, pilots, and individual expertise undermines scalability and resilience.

• The hidden cost of collaboration breakdown: Insights from global productivity data showing how fragmentation, context switching, and poor collaboration translate into tax risk and governance failures.

• Tax transformation maturity: Understanding maturity stages and how readiness for H2H stacks depends on where an organization stands today.

• The principle of local responsibility: Why no single group can “own” all tax knowledge and how responsibility should sit with professionals closest to the work.

• Speed and control through alignment: How early signal detection, continuous interpretation testing, and informal validation reduce late-stage escalation and audit surprises.

• What an H2H stack actually is: How communication platforms and structured training environments combine into a continuous knowledge ecosystem.

• Why centralized knowledge does not scale in tax: The limits of escalation-based models in environments shaped by real-time data, AI, and cross-border complexity.

• Which tax knowledge cannot be automated: The distinction between codifiable, interpretative, operational, and institutional knowledge and why peer exchange is essential for each.

• Shared knowledge as a risk-reduction layer: How consistency, defensibility, resilience, and faster issue detection emerge from collective judgment.

• Measuring value and impactMetrics for assessing learning outcomes, community health, and improvements in tax practice quality.

The focus throughout is on how human networks complement digital systems rather than competing with them.

Who Is This For

This webinar is designed for professionals responsible for tax transformation, governance, and risk:

• Heads of Tax and Tax Directors: Accountable for consistency, defensibility, and control in increasingly digital environments.

• Tax technology and transformation leaders: Designing AI-assisted and data-driven tax workflows.

• Senior tax professionals across jurisdictions: Who rely on shared interpretation and coordination to manage cross-border complexity.

• Risk, compliance, and governance stakeholders: Concerned with key-person dependency, audit exposure, and institutional resilience.

• Advisors and consultants: Supporting organizations with sustainable tax operating models.

This session is particularly relevant for organizations operating with real-time reporting, AI-enabled tax tools, or high cross-border dependency.