Future-proofing businesses through a reimagined tax approach

EVOLVING regulatory adjustments, a altering workforce, and rising applied sciences are among the many many challenges that firms are dealing with right now.

Tax professionals, specifically, face immense strain as they search to handle tax and statutory compliance within the extremely complicated financial and regulatory surroundings.

Amid the extra demanding local weather, the savviest tax leaders have recognised the significance of transformation, stated Ajay Kumar Sanganeria, companion and head of tax at KPMG in Singapore.

“While traditionally, tax functions have assessed technology with large scepticism, new technologies like artificial intelligence (AI) have created a buzz, bringing the transformation agenda top of mind,” he stated.

Further fuelling this can be a higher convergence of enterprise and regulatory necessities, with a push from regulators to gather data in a real-time method, moderately than by ad-hoc submissions. Tax authorities are additionally leveraging information and know-how to determine and have interaction firms that could be non-compliant. 

“This means that companies are now expected to get the data right the first time, with little room for retrospective rectifications,” Sanganeria added.

What Singapore firms will want is a highway map to drive efficient information administration for extra environment friendly tax planning and reporting, with a broad vary of know-how options. 

Indeed, tax leaders recognise the necessity to harness the most recent applied sciences, whereas grooming the appropriate stability of tax technical and technological experience, KPMG’s Tax Reimagined 2023: Perspectives from the C-suite world survey confirmed.

The survey – which gathered insights from over 500 C-suite executives – discovered that greater than half had been already utilizing AI know-how of their tax or finance departments to enhance workflows and cut back pressure on current expertise. 

Catherine Light, companion, Tax Reimagined at KPMG in Singapore, stated interactions with purchasers confirmed a excessive degree of curiosity in reimagining their tax processes by deploying the appropriate applied sciences and AI to assist obtain their aims. 

“As technologies advance, there will be a paradigm shift from what has been done traditionally towards the future state model enabled through increased levels of standardisation and automation,” she stated. 

“Hence, business leaders see the need to reassess the roles and skills requirements of their teams in tandem with technology developments.”

Sanganeria famous that KMPG’s Tax Reimagined framework combines know-how, transformation, and compliance capabilities beneath a single umbrella to assist organisations develop and implement a customized goal working mannequin for his or her tax and finance capabilities in a holistic method.

“This will enable them to reduce costs, mitigate risks, improve quality and more importantly, drive more strategic value across their organisations,” he stated.  

Use instances

The emergence of AI has dramatically modified the way in which folks function, and it’s no completely different for tax professionals.

“Some of the common use cases include chatbots, which can be used to assist to answer simple tax-related questions and identify key risk areas or opportunities,” Sanganeria stated. “However, there is a potential for its scope to be expanded further to ensure a more effective and holistic management of taxes.”

One instance the place such instruments might be helpful is within the implementation of Base Erosion and Profit Shifting or BEPS 2.0 initiatives, which require many multinational firms to re-examine their world tax obligations.

“This scale of change will be at unprecedented levels for tax departments everywhere. Complying with the rules will require companies to rethink and redesign how they think about process, technology, data and people,” stated Sanganeria.

Such world developments may imply that adopting technology-enabled options would grow to be “more of a necessity than a luxury”, he added.

KPMG’s Digital Gateway for Tax platform permits companies to leverage the cloud-based KPMG BEPS 2.0 Automation Technology device to make sure alignment and integration with current native nation compliance reporting in view of the brand new Pillar Two obligations. 

The cloud-based platform additionally affords the complete suite of KPMG tax applied sciences throughout tax and monetary reporting, strategic planning, compliance transformation, information and asset administration.

Light additionally noticed that the platform permits KPMG’s tax professionals to assist purchasers remodel tax capabilities to grow to be data-driven and digitally enabled, whereas staying aligned to enterprise targets.

“Organisations have direct access to KPMG’s extensive investments in machine learning, data analytics, powerful visualisations and AI technologies in one place, all driven by the rich data that they already have on hand,” she stated. 

The platform additionally combines the experience of KPMG’s world community of execs, its alliances and its know-how options to kind an built-in platform that has been constructed to assist tax leaders and their evolving wants.  

Monitoring dangers

Even as new applied sciences grow to be a necessity for tax professionals, it is usually necessary to think about any potential pitfalls or dangers – similar to these associated to privateness, confidentiality and ethics.

Sanganeria famous that a whole lot of information and knowledge might should be ingested into know-how – together with AI platforms – and used to coach or construct logic to have the ability to generate helpful outcomes.

“It is crucial to ensure that these are taking place in a private and secure environment, where there is no risk of the queries or outputs being leaked to the public domain, even when the technology or AI functionality eventually becomes available to users,” he stated.

Testing can be one other essential factor within the implementation of AI to make sure that errors are recognized and the answer is critically evaluated.

He stated: “Ultimately, technologies, including AI, should be used to augment human capabilities, rather than entirely replace it, as this will also ensure that it continues to be used in a responsible and ethical way with true benefits for businesses.”