Artificial intelligence is rapidly transforming the tax function. Yet for many mid-market organizations, there is still a clear gap between vendor promises and operational reality. This report is designed to bridge that gap.

What makes this approach different

Progress without large transformation programs

This report is designed for teams that want to make real progress without large-scale transformation programs. It focuses on practical improvements that can be implemented within existing budgets and timelines.

It is built for teams that:

  • want to improve with existing resources
  • do not have dedicated AI teams or large IT programs
  • need results in the next reporting cycle

The approach focuses on tax-led improvements, existing tooling and controlled implementation. The goal is to reduce rework and shift focus towards judgement and decision-making.

What you gain

This report provides a clear and practical starting point for applying AI in tax.

You gain:

  • a clear view of how AI applies to tax today
  • a structured approach to improving tax operations
  • insight into key bottlenecks and risks
  • a pilot approach you can start quickly
  • better control, faster cycles and more reliable outputs

This report helps you take the first steps. It offers a clear, practical approach that tax teams can begin implementing within weeks.

Download the report here

AI in Tax: From Hype to Practical Implementation

The problem

Bridging the gap between AI promises and tax reality

Artificial intelligence is transforming tax, but most organizations struggle to turn potential into practical results. Tax teams often face:

- fragmented data and inconsistent documentation

-unclear governance and control gaps

-manual rework and inefficient workflows

-uncertainty about where AI actually adds value

This leads to a key question:
Are we ready to use AI effectively, or are we adding complexity on top of weak foundations?

The solution

A structured approach to building a modern tax function

This report moves from diagnosis to execution. It introduces a practical framework that helps tax teams identify bottlenecks and implement improvements in controlled steps. At the core is a five-layer model of the modern tax department:

1.Infrastructure and controls

2.Data and documentation

3.Standard processes and deterministic calculators

4.Automation and AI execution

5.Outputs and obligations

Each layer is translated into practical deliverables and control points, allowing teams to improve step by step while maintaining auditability and a single source of truth.

What the report covers

From insight to implementation

The report is structured in five chapters:

-What is changing in tax delivery and what good looks like operationally

-The difference between automation and AI and how they work together

-Workflow simulations showing where time is lost and why rework occurs

-Practical steps to reduce operational risk without slowing processes

-A step-by-step pilot approach that can be implemented within weeks

The focus is always on what can actually be built and sustained in practice.

Key insight

AI only works on top of controlled processes

AI can generate outputs quickly, but without structured data and deterministic logic, those outputs cannot be trusted.

A transfer pricing narrative can be drafted in minutes.
Ensuring it aligns with policy, reconciles to financial data and supports reporting obligations requires:

-governed data

-consistent calculations

-controlled processes

This report shows how to build that foundation.

Who this report is for

This report is designed for central tax functions in mid-market companies with international activities.

Typical roles include:

-Head of Tax or Group Tax Director

-Transfer Pricing Manager

-Tax Technology Lead

-CFO with tax oversight

The focus is on teams of 5 to 15 people managing corporate income tax, transfer pricing, VAT and global employer services.

Mario van den Broek
Partner
View profile
Hoofddorp
+31(0)23 530 04 00

Do you have a question? We will get back to you as soon as possible.

Frequently asked questions about AI in tax:

Automation executes predefined steps and checks. AI supports drafting and detection. Both require structured data and governance to deliver reliable results.

No. This report focuses on improvements that can be implemented with existing tools and controlled steps.

Most teams can start a pilot within weeks, focusing on a specific workflow or process.

Typically tax leadership, finance, IT and data specialists, depending on the scope.