Est. Reading: 6 minutes
07/25

The Role of AI in the Modern Tax Era: Insights from our latest Roundtable Discussion

Head of Tax
Head of Tax
Bethany is a specialist in recruiting Tax professionals at all levels across Commerce & Industry, from Newly-Qualified to FD, CFO, or Head of Tax roles. With a genuine passion for shaping careers and supporting clients, she is dedicated to finding the perfect match for interim or permanent tax needs. She partners with organisations to secure top talent in Corporate Tax, Indirect Tax, Transfer Pricing, and Employment Tax. Her expertise spans FTSE-listed companies, global organisations, and privately-owned groups.

In an era where digital transformation is reshaping every aspect of business, the integration of artificial intelligence (AI) into tax functions is generating significant interest and considerable debate. Recently, we hosted a roundtable bringing together senior tax professionals to explore the opportunities, challenges, and practical realities of leveraging AI within the tax landscape. We also utilised the results from a survey completed by approximately 89 tax professionals on AI before the roundtable event.

Framing the Challenge

The roundtable underscored the transformative potential of artificial intelligence within the tax domain, while also highlighting the significant challenges that organisations face in its adoption. Participants recognised that AI extends beyond basic research and translation functions, offering capabilities in predictive analytics, automated compliance, and advanced data mining.

However, barriers such as limited technical capability, concerns over data security, internal policy restrictions, and a lack of trust in AI-generated outputs continue to impede widespread implementation.

One participant noted, Cost was really low down because I think a lot of people aren't necessarily aware that the add-ons is where the element comes to it illustrating that perceptions around AI investment remain uncertain.

Use Cases in Focus

The event showcased a broad spectrum of AI applications currently under exploration or deployment, including:

  • Legislative and Regulatory Analysis: A team developed an AI system capable of summarising legislative changes across territories and overlaying them with public filings to identify potential areas of concern. This involved using ChatGPT to create interconnected GPTs that perform deep research, compare filings, and generate actionable insights.
  • Content Generation and Accessibility: AI was demonstrated as a tool for converting dense legal and legislative content into accessible formats, such as podcasts tailored for different audiences—ranging from technical professionals to laypersons.
  • Operational Automation: Routine tasks such as translation, reconciliation, and memo writing were cited as areas where AI saves significant time and enhances efficiency. For example, generating comprehensive summaries within minutes, a process traditionally requiring hours.
  • Strategic Scenario Planning: AI's predictive capabilities were highlighted as valuable for scenario analysis in tax planning, transfer pricing, and cross-border compliance, enabling organisations to evaluate potential impacts based on geopolitical and economic trends.

Governance and Guardrails

Robust governance frameworks and responsible AI deployment emerged as critical themes. Participants discussed the importance of internal policies, ongoing staff training, and internal controls to mitigate risks associated with AI. Concerns centred on data security, privacy, and the accuracy of AI outputs. One attendee remarked, “You can't trust the data and the other part here... AI will go, I can't give you blank space. Make this look good” emphasising the necessity of maintaining oversight and verifying AI-generated information. Many organisations are establishing or refining policies to oversee AI use, often involving dedicated responsible AI teams. A participant stated, “We have an AI policy of responsible AI team licence, which is a starting point for our AI journey,” reflecting a proactive approach to governance.

The Messaging Gap

A notable disconnect was identified between the perceived capabilities of AI and the level of organisational awareness about its true potential. Many stakeholders, ranging from senior leadership to operational teams, continue to view AI primarily as a research assistant or translation tool, often limited to automating routine tasks like document summarisation or language translation. This narrow perception prevents organisations from fully recognising AI’s broader strategic applications, such as predictive analytics, scenario modelling, real-time compliance monitoring, and decision support systems that can fundamentally transform how they operate and compete.

This gap in understanding hampers confident adoption, leading to hesitancy, underinvestment, or misaligned expectations. It also fosters scepticism among staff who may view AI initiatives as superficial or as threats to their roles, rather than as tools for augmentation and strategic advantage. Such perceptions can result in resistance to change and a reluctance to prioritise AI-driven projects.

Addressing this messaging gap is therefore critical, as one attendee said The messaging can’t just be about efficiency. That makes people feel like they’re being replaced.” It requires targeted education and awareness initiatives designed to demonstrate AI’s full spectrum of capabilities, success stories, and tangible benefits in the context of organisational goals. Developing clear communication strategies, highlighting how AI can support strategic decision-making, improve efficiency, and create competitive advantages, can help align perceptions and foster a culture of innovation. Only through such efforts can organisations unlock AI’s full potential, ensuring it is embraced as a transformative force rather than viewed narrowly or sceptically.

Key Themes and Takeaways

The roundtable identified several critical themes essential for successfully integrating AI into tax functions:

Trust and Reliability: Trust remains a central concern. Ensuring high-quality, accurate data, and establishing clear governance frameworks are vital to foster confidence in AI outputs. As one participant emphasised, “The biggest barrier is technical capability, and trust in the data.”

  • Data Security & Privacy: Regulations such as GDPR significantly influence AI adoption, particularly in the UK, where stricter controls and internal protocols are in place to safeguard sensitive information. Participants stressed the importance of data protection, confidentiality, and compliance.
  • Practicality Over Hype: AI’s greatest value is realised through targeted, specific applications, such as automating data extraction, summarising legislation, and performing scenario analysis, rather than broad, unfocused implementation. As one attendee remarked, “AI is most effective when applied to specific, targeted tasks.”
  • Training & Prompt Engineering: The effectiveness of AI heavily depends on proper prompt design and understanding its mechanics. Investing in staff training on best practices and prompt engineering enhances output quality and organisational confidence.
  • Cost & Investment: Budget constraints and ongoing maintenance costs pose challenges, especially concerning enterprise licences and scalability. Organisations need to carefully evaluate the return on investment and long-term commitments.
  • Future Potential: The evolving role of AI in predictive analytics, real-time reporting, and automated compliance updates holds immense promise. However, realising this potential requires a solid foundation of high-quality data and mature governance structures.

Collectively, these themes underscore that while AI offers transformative opportunities, organisations must navigate technical, regulatory, and organisational hurdles thoughtfully to harness its full potential responsibly.

Conclusion and Summary

This roundtable has underscored the significant opportunities AI presents for transforming tax functions, from automating routine tasks to enabling advanced predictive analytics. Participants shared practical use cases, such as legislative summarisation, content generation, and scenario planning, demonstrating AI’s potential to improve efficiency and support strategic decision-making.

At the same time, the discussion highlighted critical challenges that must be addressed to unlock AI’s full benefits. These include ensuring data quality, establishing effective governance frameworks, and fostering organisational trust. Concerns over data security, regulatory compliance, and the costs of deployment remain key considerations moving forward.

The consensus was clear: AI should be viewed as a supportive tool that enhances human expertise rather than replacing it. For organisations to succeed, they must prioritise responsible implementation, invest in ongoing training, and adopt a collaborative approach to innovation. Recognising that AI is not a one-time project but an ongoing journey, organisations need to focus on developing internal capabilities, establishing responsible governance frameworks, and exploring scalable solutions that can be integrated across functions, including tax, legal, and finance.

Key actions to support this include:

  • Developing targeted AI training programmes tailored to tax professionals.
  • Building or refining organisational AI governance frameworks.
  • Engaging with technology providers and regulators to ensure responsible deployment.
  • Exploring scalable AI solutions that can be integrated across functions, including tax, legal, and finance.

What works for finance may not be fit for purpose for tax, and vice versa; continuous education and strategic experimentation will be vital to unlocking AI’s transformative potential responsibly.

As I reflect on this discussion, I remain convinced that the future of AI in tax hinges on the collective ability of tax professionals to navigate its challenges thoughtfully, while harnessing its immense capabilities for positive impact. Participants agreed that “This isn’t a one-time thing; it’s a journey to understand and harness AI’s potential responsibly.”

What will we be doing as a follow up:

We’ll be refining the AI in Tax survey to reflect emerging priorities

Future sessions will explore:

  • Communicating value to non-tax stakeholders
  • Collaborating with internal tech and data teams
  • Peer-led demos of specific use cases

Want to Be Part of the Next Conversation?
Email bethany AT consultancygroup.com to join the conversation.

BONUS FEATURE - Survey Results Microsite (Built with AI)

In the spirit of AI we fed this report into Lovable and got it to automatically create a microsite for our full survey and roundtable results (which took just a few minutes). You can check them out here.

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