Upcoming Webinars
October 30th, 16:00 to 17:00 CET
From Rules to Reasoning: How to Codify Tax Logic for AI Workflows
Live Webinar Host on Zoom
In the world of tax, rules are plentiful, statutes, treaties, regulations, case law, administrative guidance. Yet when it comes to implementing these rules in digital environments, most organizations reduce them to static checklists or simple automation triggers. This approach creates brittle systems: they can execute “if-then” steps but fail to capture the reasoning that underlies tax decision-making.
AI-enabled workflows demand something deeper. Instead of replicating forms and processes, tax functions must translate human interpretation into structured, codified logic. Imagine a system that not only applies withholding tax rates but also reasons through treaty eligibility, permanent establishment (PE) assessments, or VAT place-of-supply rules with transparency. Moving from rules to reasoning is not just a technical challenge, it is a rethinking of how tax knowledge itself is modeled and maintained.
Why Attend
Most organizations have spent the past decade automating repetitive tax processes. Yet many still struggle with knowledge fragmentation, rules locked in macros, decisions buried in inboxes, and methodologies known only to a few key individuals. This limits not only efficiency, but also scalability and audit-readiness.
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As regulatory expectations rise and AI becomes integral to tax operations, codifying tax logic is emerging as a strategic necessity.
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By transforming implicit human reasoning into explicit, structured workflows, tax teams can achieve:
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Consistency: Apply the same rules across jurisdictions and business units.
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Transparency: Trace and justify how outcomes are derived, a key requirement in the age of digital reporting and algorithmic decision-making.
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Scalability: Replicate complex determinations (e.g., PE risk, VAT exemptions, hybrid mismatch rules) across thousands of transactions.
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Future-readiness: Build systems capable of interacting with AI agents that require explainable, machine-readable logic.
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This shift goes beyond simple digitalization, it’s about embedding the intelligence of tax into systems that can reason at scale.
Topics Covered
In this session, Steef Huibregtse will share a structured approach to codifying tax logic and designing workflows that balance automation with expert reasoning.
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How to decompose tax legislation into codifiable components such as conditions, thresholds, and dependencies.
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Frameworks for transitioning from procedural automation (“if/then” rules) to reasoning-based workflows that mimic expert judgment.
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Illustrative use cases in areas like withholding tax determination, VAT place-of-supply, and permanent establishment risk assessment.
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Approaches to maintaining and updating codified logic as rules evolve, ensuring systems remain compliant and adaptive.
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Best practices for digital architecture, including single sources of data and logic that connect human expertise with AI-driven decision engines.
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Common pitfalls to avoid when scaling from Excel automation to AI-enabled reasoning systems.
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By the end of the webinar, participants will understand how to begin structuring their own logic frameworks, transforming fragmented knowledge into a foundation for true tax intelligence systems.
Who Is This For?
This session is ideal for professionals shaping the future of tax within their organizations:
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Heads of Tax and Tax Directors seeking to ensure defensible, scalable compliance.
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Tax Technology & Transformation Leaders embedding AI and automation into workflows.
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Policy & Technical Specialists modeling reasoning digitally for future regulatory alignment.
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Compliance & Reporting Teams aiming for consistent, auditable decision-making.
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Advisors & Consultants translating complex tax regulations into digital solutions for clients.