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Getting ready for VAT digitisation: automation is key

Source: Finance Derivative

hristiaan Van Der Valk, Vice President for Strategy and Regulatory at Sovos, says technology will power real strategic success for companies required to follow continuous transaction controls (CTCs).

A growing number of governments and businesses around the world are adopting digital-first approaches for a multitude of processes, resulting in a need to move away from traditional paper-based invoicing and embrace real-time tax reporting. This trend has been largely led by Latin American countries such as Brazil, Chile and Mexico. Through adopting real-time reporting via electronic invoicing systems, they have been able to better understand their economies, reduce fraud, and close VAT gaps.

The shift to continuous transaction controls (CTCs) allows transaction data to be automatically streamed to governments, reducing the need for resource-intensive business systems and document audits for tax administrations. Through the use of rich, standardised data, tax authorities are able to compute a business’s tax liability. Businesses are generally not required to be heavily involved in this process.

With this requirement – combined with invoicing – businesses would be able to avoid filing periodic tax returns, relieving them of the burden of running VAT compliance teams and filing reports that bring no benefit. The practice, however, calls for a more comprehensive data management approach and proactive data reconciliation across different sources of government-controlled transaction data. For this reason, companies need access to a high-quality dataset in case they must challenge government-determined tax liability.

It can be problematic to have poor data quality in a VAT environment that relies heavily on legacy reporting. For example, there have been instances in which reports were inconsistent or didn’t correspond to accounting data in audits. Consequently, fines or penalties may be imposed. However, in the world of CTCs the consequences of data quality issues are of a very different magnitude. Your financial and physical supply and demand chains can practically grind to a standstill if your data isn’t approved by the tax administration – especially in nations where the tax administration ‘clears’ the invoice in real-time such as in Italy, Mexico and Brazil.

Many businesses with responsibilities in VAT jurisdictions are missing something important here. Beginning to utilise automation and other more specialised tools for producing VAT returns is a critical step toward harnessing the benefits from the mandated transition to CTCs as opposed to focusing on the challenges.

Manual is outdated

A lot of businesses are still using manual processes like spreadsheets to manage their VAT compliance, which essentially involves the time-consuming production and submission of VAT returns.

Through implementing technology like automated rules in software, companies can maximise the validity of VAT data. As well as simplifying and re-risking VAT reporting activities, the effort required to design the steps to enhance data using automated rules engines means establishing structured definitions of ‘what’s wrong with your transaction data?’ These definitions can then be used to identify the cause of quality concerns in upstream business processes and address them in order to dramatically improve CTC readiness.

For many businesses, the majority of quality concerns are down to the manual and paper-based processes used in internal workflows and trading partner relationships. Therefore, automation will play a vital role in properly preparing for CTCs.

Preparing data in this manner for VAT enforcement means that a business is paving the way for a more data-driven approach to compliance in general. Companies will increasingly be required to coordinate data being submitted to tax administrations automatically from a range of business process and accounting systems, once CTCs and other VAT digitisation initiatives become operational.

Keeping up to date with the expanding scope of information that is handed over to tax administrations in these automated data transmissions is crucial, so that companies can maintain a level of control over the image of their business operations that is constructed for the tax authorities.

As well as this, a business may benefit from this insight across data encompassing the full supply chain and transactions.  For instance, this information gathered could be turned into tactics to help with strategic planning.

Business leaders may reduce expenses, boost resilience, and improve controls by automating tax and business operations and adopting a data-driven approach to compliance, allowing for a more accurate and detailed understanding of granular reporting needs.

Organisations should prioritise the building of dashboards utilising modern analytics tools to prepare for this huge transition. It’s also important to have a well-organised evidence base with clean digital archives. Technology and the insight it brings will be the driving factor for real strategic success as economies recover from the pandemic.

Data flow is key

As tax authorities and governments work to reduce VAT gaps, greater visibility into corporate databases is at the top of their agenda. This is accomplished through the government’s digitisation of all tax reporting, in which data is delivered at regular intervals that correspond to the flow of transactions and the government’s data requirements.

It is imperative that transaction data, relevant primarily for VAT purposes (though not exclusively), be received in a transactional manner. Meanwhile, other types of information, like payment data or inventory movement, may be requested on a weekly or monthly basis, whereas broader accounting data might be requested more frequently.

The introduction of CTCs should not be viewed as an IT formality, but as the first step in tax administrations gaining easy, timely and effective access to source data. The digitisation of tax will enable administrations to access data on a regular basis, as well as at a granular level.

As companies transition from manual data entry into this new world of automated data exchange, they should concentrate on why this change is important rather than how it is happening. The real prize here is not getting the ‘plumbing’ to work according to government specifications; focusing on this ‘how’ question means that companies may be missing out on a potentially critical business enabler, but equally they may be inadvertently setting themselves up for much higher levels of compliance risk.

With the introduction of CTCs and various forms of detailed digital reporting, companies should be prepared to be exposed to much more stringent audits. The reason for this is that data quality or consistency issues will gradually become more transparent to tax administration teams, which will increasingly be enabled to respond to even the smallest inconsistencies that may previously have gone under the radar with surgical precision.

The higher level of visibility allows tax authorities to cross-check more company data, its trading partners and third parties’ data. These abilities will be vastly improved as more governments complement CTC requirements with mandates for SAF-T and similar electronic auditing requirements. Through thorough analysis of this growing mass of real-time and historic data, a firm’s operations can be fully understood.

Successfully adapting to CTCs means investing in the journey rather than the destination. As everything becomes more digitised, organisations must stay on top of these changes and maintain the same level of data insights as tax authorities do. There will be a growing need for this as more countries introduce CTC regimes (both France and Germany are on the horizon).

Adapting business tools to deliver better data insights is essential to facilitating tax digitisation, both to satisfy global tax authorities and to achieve a competitive advantage in the market. In short, companies should remain fully alert and prepared to ensure a smooth transition and successful outcome of CTCs, which are the logical next step on the road to business transparency.

The domino effect of CTCs

The willingness of autonomous governments to accept digital tax reporting will determine how widespread its implementation becomes. Following more than a decade of success with these methods in Latin America, governments all over Europe, for example, have made major moves toward introducing CTCs. In doing so, there is a great deal of preparation that international companies need to do which can take a considerable amount of time and resources.

In all jurisdictions with indirect tax systems, moving toward increasingly digitised tax controls is the only path. With real-time data, governments can better understand and analyse their country’s economic health, while also enhancing fiscal controls and reducing fraud. It’s just a matter of time until these digital programmes become standard practice on a global level, as countries all across the world begin to recognise their success in reducing fraud, increasing efficiency and closing VAT gaps.

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Business

Time is running out: NHS and their digital evolution journey

By Nej Gakenyi, CEO and Founder of GRM Digital

Many businesses have embarked on their digital evolution journey, transforming their technology offerings to upgrade their digital services in an effective and user-friendly way. Whilst this might be very successful for smaller and newer businesses, but for large corporations with long-standing legacy infrastructure, what does this mean? Recently the UK government pledged £6bn of new funding for the NHS, and the impact this funding and investment could have if executed properly, could revolutionise the UK public healthcare sector.

The NHS has always been a leader in terms of technology for medical purposes but where it has fallen down is in the streamlining of patient data, information and needs, which can lead to a breakdown in trust and the faith that the healthcare system is not a robust one. Therefore, the primary objective of additional funding must be to implement advanced data and digital technologies, to improve the digital health of the NHS and the overall health of the UK population, as well as revitalise both management efficiency and working practices.

Providing digital care

Digitalisation falls into two categories when it comes to the NHS – digitising traditionally ‘physical’ services like offering remote appointments and keeping electronic paper records, and a greater reliance on more innovative approaches driven by advances in technology. It is common knowledge that electronic services differ in GP practices across the country; and to have a drastically good or bad experience which is solely dependent on a geographical lottery contradicts the very purpose of offering an overarching healthcare provision to society at large.

By streamlining services and investing in proper infrastructure, a level playing field can be created which is vital when it comes to patients accessing both the care they need and their own personal history of appointments, GP interactions, diagnoses and medications. Through this approach, the NHS focus on creating world-leading care, provision of that care and potentially see waiting lists decrease due to the effective diagnosis and management enabled by slick and efficient technology.

This is especially important when looking at personalisedhealth support and developing a system that enables patients to receive care wherever they are and helps them monitor and manage long-term health conditions independently. This, alongside ensuring that technology and data collection supports improvements in both individual and population-level patient care, can only serve to streamline NHS efforts and create positive outcomes for both the patient and workforce.

Revolutionising patient experiences

A robust level of trust is critical to guaranteeing the success of any business or provision. If technology fails, so does the faith the customer or consumer has in the technology being designed to improve outcomes for them. An individual will always have some semblance of responsibility and ownership over their lives, well-being and health. Still, all of these key pillars can only stand strong when there is infrastructure in place to help drive positive results. Whilst there may be risks of excluding some groups of individuals with a digital-first approach, technology solutions can empower people to take control of their healthcare enabling the patient and NHS to work together. Tandem efforts between humans and technology

Technology must work in tandem with a workforce for it to be effective. This means the NHS workforce must be digitally savvy and have patient-centred care at the front and centre of all operations. Alongside any digital transformation the NHS adopts to improve patient outcomes, comes the need to assess current and future capability and capacity challenges, and build a workforce with the right skills to help shape an NHS that is fit for purpose.

This is just the beginning. With more invtesement and funding being allocated for the NHS this is the starting point, but for NHS decision-makers to ensure real benefits for patients, more still needs to be done. Effective digital evolution holds the key. Once the NHS has fully harnessed the poer of new and evolving technologies to change patient experiences throught the UK, with consistent communication and care, this will set the UK apart and will mark the NHS has a diriving example for accessible, digital healthcare.

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Business

Driving Business Transformation Through AI Adoption – A Roadmap for 2024

Author: Edward Funnekotter, Chief Architect and AI Officer at Solace

From the development of new products and services, to the establishment of competitive advantages, Artificial intelligence (AI) can fundamentally reshape business operations across industries. However, each organisation is unique and as such navigating the complexities of AI, while applying the technology in an efficient and effective way, can be a challenge.

To unlock the transformational potential of AI in 2024 and integrate it into business operations in a seamless and productive way, organisations should seek to follow these five essential steps:

  • Prioritise Data Quality and Quantity

Usefulness of AI models is directly correlated to the quantity and quality of the data used to train them, necessitating effective integration solutions and strong data governance practices. Organisations should seek to implement tools that provide a wealth of clean, accessible and high-quality data that can power quality AI.

Equally, AI systems cannot be effective if an organisation has data silos. These impede the ability for AI to digest meaningful data, and then provide the insights that are needed to drive business transformation. Breaking down data silos needs to be a business priority – with investment in effective data management, and an application of effective data integration solutions.

  • Develop your own unique AI platform

The development of AI applications can be a laborious process, impacting the value that businesses are gaining from them in the immediate term. This can be expedited by platform engineering, which modernises enterprise software delivery to facilitate digital transformation, optimising developer experience and accelerating the ability to deliver customer value for product teams. The use of platform engineering offers developers pre-configured tools, pre-built components and automated infrastructure management, freeing them up to tackle their main objective; building innovative AI solutions faster.

While the development of AI applications that can help streamline infrastructure, automate tasks, and provide pre-built components for developers is the end goal, it’s only possible if the ability to design and develop is there in the first place. Gartner’s prediction that Platform Engineering will come of age in 2024 is a particularly promising update.

  • Put business objectives at the heart of AI adoption – can AI deliver?

Any significant business change needs to be managed strategically, and with a clear indication of the aims and benefits they will bring. While a degree of experimentation is always necessary to drive business growth, these shouldn’t be at the expense of operational efficiency.

Before onboarding AI technologies, look internally at the key challenges that your business is facing and question “how can AI help to address this?” You may wish to enhance the customer experience, streamline internal processes or use AI systems to optimise internal decision-making. Be sure the application of AI is going to help, not hinder you on this journey

Also remember that AI remains in its infancy, and cannot be relied upon as a silver bullet for all operational challenges. Aim to build a sufficient base knowledge of AI capabilities today, and ensure these are contextualised within your own business requirements. This ensures that AI investments aren’t made prematurely, providing an unnecessary cost.

  1. Don’t be limited by legacy systems

Owing to the complex mix of legacy and/or siloed systems that organisations employ, they may be restricted in their ability to use real-time and AI-driven operations to drive business value. For example, IDC found that only 12% of organisations connect customer data across departments.

Amidst the ‘AI data rush’ there will be a greater need for event-driven integration, however, only an enterprise architecture pattern will ensure new and legacy systems are able to work in tandem. Without this, organisations will be prevented from offering seamless, real-time digital experiences, linking events across departments, locations, on-premises systems, IoT devices, in a cloud or even multi-cloud environment.

  • Leverage real-time technology

Keeping up with the real-time demands of AI can pose a challenge for legacy data architectures used by many organisations. Event mesh technology – an approach to distributed networks that enable real-time data sharing and processing – is a proven way of reducing these issues. By applying event-driven architecture (EDA), organisations can unlock the potential of real-time AI, with automated actions and informed decision making using relevant insights and automated actions.

By applying AI in this way, businesses can offer stronger, more personalised experiences – including the delivery of specialised offers, real-time recommendations and tailored support based on customer requirements. An example of this is in predictive maintenance, in which AI is able to analyse and anticipate future problems or business-critical failures, ahead of them affecting operations, and dedicate the correct resources to fix the issue, immediately. By implementing EDA as a ‘central nervous system’ for your data, not only is real-time AI possible, but adding new AI agents becomes significantly easier.

Ultimately, AI adoption needs to be strategic, avoiding chasing trends and focusing instead on how and where the technology can deliver true business value. Following the steps above, organisations can ensure they are leveraging the full transformative benefit of AI and driving business efficiency and growth in a data driven era.

AI can be a highly effective tool. However, its success is dependent on how it is being applied by organisations, strategically,  to meet clearly defined and specific business goals.

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Auto

Preparing for the Surge: Meeting the MCS Requirements of Electric Trucks

John Granby, Director of eTruck & Van, EO Charging and Erik Kanerva, Sales Director at Kempower

Auto electrification is moving at a rapid pace, with electric vehicles (EVs) going from a passion project for early technology adopters to the mainstream – especially when you consider the need to electrify consumer and commercial vehicles ahead of the government’s 2035 Zero Emission Vehicle mandate.

Electrification is also starting to play a vital role in public policy and commercial plans, leading to vehicle availability and a variety of improvements and increasing interest among commercial fleets’ prospective customers. As a result, all of the main car and van manufacturers have a respectable EV offering, and the eBus industry is well on its way to proposing a similarly credible offering for citizens.

Heavy-duty vehicle electrification has progressed slowly, but the pace has picked up over the last year, with several of the major truck manufacturers testing completely electric heavy trucks that are now near-ready to enter the general market.

This is a critical shift in the move towards net zero, given that heavy commercial vehicles account for around 25% of CO2 emissions from road transport emissions in the EU and approximately 6% of the region’s overall emissions. It’s a similar situation in the US, where medium and heavy-duty trucks account for around 29% of total road transport emissions or approximately 7% of the country’s total but make up fewer than 5% of all vehicles on the road.

Having clear goals and objectives in place for fleet electrification will be vital to ensuring the transport sector is on track. For example, Scania’s goal is that 50% of all vehicles it sells annually by 2030 will be electric. Despite Scania being the slowest into the market with battery electric vehicles, other vehicle manufacturers are following the same target, with Volvo Trucks setting itself a target for 50% fully electric vehicles by 2030 and the same with Renault, for example.

Meeting this ambitious goal will require the appropriate charging infrastructure in place so customers have the confidence to invest in the large-scale electrification of their fleets. That is one of the reasons why charging system manufacturer Kempower expects the commercial vehicle DC charging market in Europe and North America to have a 37% compound annual growth rate until 2030.

Trucks require substantial battery packs to provide a similar range as traditional engines, and having the right infrastructure in place to keep them regularly charged is certainly a key factor to consider when electrifying truck fleets. According to the European Automobile Manufacturers’ Association (ACEA), trucks will require up to 279,000 charging outlets by 2030, with 84% located in fleet hubs. By 2030, buses will require up to 56,000 charging outlets, with fleet hubs accounting for 92% of the total.

The Charging Interface Initiative (CharIN) is a global organisation that has been working on a standard for the rapid charging of trucks for several years. CharIN developed the Megawatt Charging System (MCS) concept, which serves as the foundation for the ISO and IEC standards which govern the design, installation, and operation of truck fast charging infrastructures.

The MCS is intended to standardise the quick delivery of enormous amounts of charging power to vehicles and provide stronger communication, which minimises downtime caused by unsuccessful charging events.

Customers who drive commercial vehicles follow particular driving habits. By taking advantage of the required break time from the hours-of-service restrictions governing their drivers, customers can travel further each day thanks to the increased charge rate that MCS offers. Better electrification of commercial cars is made possible by legislation that mandates that drivers take rest breaks. As a result, shorter charging durations to accommodate these breaks are beneficial.

The MCS will operate at up to 3,000A and 1,25 KV at its final development stage, delivering up to 3,75 MW of power when charging. With the backing of a significant segment of the industry, MCS is founded on an international consensus on technical standards. An internationally recognised standard is essential to promote harmonised solutions that reduce costs and boost interoperability without sacrificing safety and uptime.

Trucks on the highway are a key focus of the MCS, not only depot pricing. Large truck units operating long-haul routes and some smaller rigid trucks operating cross-border short-haul deliveries—such as logistics organisations operating deliveries between the United Kingdom and continental Europe—pay particular attention to this issue.

Most MCS charging occurs while drivers take breaks from their routes, but some depots may have a single MCS charger on site to do a flash charge if a truck needs to be turned around quickly. In order to balance this unit’s demand against other chargers on site, load management is crucial because it will require a power supply of at least 1 MW+.

Fleet operators should look to consider incorporating MCS into their whole charging ecosystem and solutions, regardless of whether they are thinking about how electrification will affect their fleet of vehicles on the road or how their depots will operate.

Adopting cutting-edge energy management technology solutions will enable effective fleet electrification, particularly at depots. Investing in effective load management technologies will be critical to maximising existing grid infrastructure capacity while decreasing the need for additional investments in generation or distribution capacity.

Investing in and deploying effective energy management technologies is the key to a smoother, more efficient shift for commercial fleet operators. They are critical in lowering energy expenses, both economically and environmentally.

Energy management solutions for charging electric fleets will also help maximise existing grid capacity, reducing the need to invest in new generation or distribution capacity. This will be an essential factor for fleet managers to consider as eTruck fleets expand and other commercial vehicle fleets, such as buses, increase demands on infrastructure.

With unprecedented energy and investment going into electrification, 2024 looks to be a pivotal year for picking up the momentum of progress around MCS in the logistics sector. If done right, it will create a shift of optimism in the market to accelerate the electrification of commercial fleets and promises to positively impact other sectors, such as marine and aviation, contributing significantly to reducing carbon emissions.

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