The GST journey of India underwent a significant and impactful pivot in late 2025 with the rate rationalisation. The bold manoeuvre was the result of a well-thought-out analysis and careful modelling of tax collections that showed steady, increasingly stable GST revenues gross collections having crossed ₹2 lakh crore in multiple months, making possible the widespread reduction in a large number of consumer items, without majorly affecting receipts. It is important to point out that this calculation was made possible by that singular, unitary GST system, the complex technology platform that is the sole go-to portal for all matters GST.
The next bold reform may well go even further and prepare and file returns for taxpayers, thanks to invoice digitisation (e-invoice). This digital business transaction has already transformed the way business is done in India, with an end-to-end electronic pipeline between sellers and buyers, providing an authenticated chain of business transactions, right up to the government. While multiplier-scale efficiencies are enabled through seller-to-buyer digital integration for B2B, internal process engines and workflows add another dimension to the time and cost savings. The e-invoice is registered via a 'registrar' that quality-checks for correctness; GST number, tax rates, totalling, country codes, currency codes, PIN codes etc. and also signs it digitally. It is this digital document, duly signed, from which the e-invoice derives its real power: an authenticated, non-repudiable document for businesses. While in most developed countries the widely known PEPPOL system is used, the Indian e-invoice registration framework is a unique, custom implementation, modified to suit Indian scenarios, making it simpler and faster.
The tax systems of Indian corporates have done well to incorporate and take the aid of technology, from the bottom upwards. The two biggest tax systems of India have undergone a complete overhaul in recent years, with the complete technology stack reflecting the best of frameworks, appliances, architecture and design. The technology-enabled tax ecosystems work as enablers and multipliers, providing a wide spectrum of relevant data points related to transactions, patterns, geography-based sales and purchases, almost in real time. The systems are able to provide insights and analytics from the rich data sets aggregated over time. While machine learning models were already in use, AI and generative AI-based tools are now being deployed. Considering how far the technology stacks of India's tax systems have evolved, the opportunity for taking the user experience to a whole new level now beckons. With automation, RPA, AI and GenAI-assisted workflows, the user can be provided an experience that takes the grunt work and complexity away almost completely.
The preparation of data is the first building block, and auto-population of returns for taxpayers should be the foundation for future reforms. A beginning has already been made with the automated return preparation for some forms (e.g. GSTR-1, GSTR-2B). The ease of taxpayer activity could be taken to another level by doing away with return filing by the taxpayer altogether, since the data would already be in the system. This would be a real game-changer. Businesses will be simply thrilled at being freed from the task of 'filing' their monthly or quarterly returns! The GST system, having all the data through the e-invoice trail, calculates the taxes payable and adjusts for any credits due. The taxpayer will confirm — or otherwise edit and the compliance is done. Where the auto-computed return is inaccurate, a transparent and time-bound dispute resolution mechanism will be an essential part of the design. A return-less tax system will elevate business confidence and invigorate trade, allowing businesses to focus on what they do best: growing. And the government stands to gain too: earlier and more accurate settlements naturally improve revenue predictability and cash flow. This is already being done in Europe, Portugal and Hungary both operate pre-filled VAT return systems where taxpayers validate rather than prepare, and similar models are being introduced in many more countries shortly.
The e-invoice has brought efficiency to other supply chains and domains, too. It now provides legitimacy and enhances reach for easier and cheaper finance to businesses, especially the micro and medium-sized. Loan mobilisation with the e-invoice being coupled to systems like TReDS (Trade Receivables Discounting System) and the Account Aggregator network of the RBI, which connects businesses with lenders, has provided for finance-led business growth. It also enables the dispensing of capital for trade via invoice discounting and factoring, while putting the available capital of the financial system to good use. The virtuous business cycle with an integrated financial support system is a win-win all around. Indian MSMEs are known to have low utilisation of formal credit despite stable cash flows, a gap estimated at over ₹20–25 lakh crore. The e-invoice brings these businesses into formal credit systems, making even more finance available through organised channels.
While GST 2.0 reform came with the adoption of technology, the next reform will have AI and GenAI as its catalyst. For tax authorities, AI can assist with case selection, notice drafting and fraud analytics, replacing broad-based scrutiny with targeted, evidence-based assessment. At the policy level, generative AI models can simulate the impact of proposed GST reforms across various economic scenarios in minutes, helping policymakers design changes that maximise revenue while minimising disruption. For taxpayers, GenAI can be embedded in user interfaces to provide conversational assistance in multiple languages, explaining reconciliations, tax payable, credits due, and more. GenAI can help at each stage, starting with registration, through return preparation, reconciliation and filing. The current industry roadmaps already point to AI-assisted compliance workflows becoming mainstream within the next few years.
It is equally important to acknowledge that AI deployment in tax administration must be accompanied by appropriate governance. Algorithmic bias in case selection, data privacy, and transparency in AI-driven decisions are live concerns globally, and India's framework will need to address these to maintain taxpayer trust.
As we race ahead on this technology-led GST journey, the diversity of the business canvas can bring challenges. Capacity building for smaller businesses, especially MSMEs and those in non-metro regions, will be critical, and can be addressed by the existing, robust and widely available GST Suvidha Provider (GSP) ecosystem. The GSP ecosystem is deep and trusted by tax authorities and taxpayers alike, having proven itself over and over. The ecosystem will ensure that small businesses are not left behind in this digital journey. Committed to providing handholding, sandboxes and simpler tools (small taxpayers have already been given access to free tools for basic needs), the GSP ecosystem can ensure that the benefits of e-invoicing, automation and AI are inclusive, rather than adding to the compliance anxiety of smaller taxpayers.
Overall, the fusion of generative AI with the existing technology backbone heralds an era of smart, responsive and taxpayer-centric GST reform. GenAI can simulate alternative policy scenarios for the treasury, forecast revenue and cash-flow impacts, and power multilingual conversational assistants that explain liabilities, reconciliations and credits to businesses of all sizes. This positions India not just as a fast adopter but as a potential global reference model for technology-led indirect tax reform.
Star Trek (the hugely popular sci-fi TV show) used to begin with the memorable lines: "Space: the final frontier… to explore new worlds… to boldly go where no man has gone before!" Taking a leaf from the USS Enterprise, the GST journey of India has also launched into a bold future to a point of no return, quite literally.
The journey has long begun and let there be no return, pun intended!
