Artificial Intelligence is Transforming Business Practices for Small and Medium Enterprises in India

Previously, launching an online business required hiring a developer, waiting weeks for a website to be built, and spending funds that many small and medium enterprises (SMEs) could not afford. Today, a business owner can describe their idea in simple language and receive a functional website by the end of the day.

The Significance of India's SME Sector

This shift is hugely significant because India's SME sector accounts for over 31% of the country's GDP, contributes nearly 49% of exports, and supports more than 320 million jobs. For such a large segment of the economy, the question of who can have a digital presence and under what terms carries serious economic implications.

Nevertheless, most Indian SMEs still rely on social media pages or listings on third-party marketplaces instead of owning their own web presence. The reasons are clear: a professional website traditionally meant engaging developers, working with unfamiliar platforms, configuring plugins, and waiting weeks for a functional result. For a small business owner already facing financial and time constraints, this was often an impractical expense. In such cases, a social media page seemed free, instant, and sufficient.

However, 'good enough' has its limitations. A business existing only on Instagram or a marketplace does not control its presence. It cannot dictate how its work is presented or how customers interact with it. One algorithm update or policy change can cause visibility to vanish overnight.

The Evolution of Website Builders

Tools available to small businesses have been constantly improving. Platforms like Wix, Squarespace, Shopify, and WordPress gradually lowered the barrier to entry: templates replaced custom code, drag-and-drop editors eliminated the need for developers, and monthly subscriptions replaced high upfront costs. These platforms have truly helped millions of small businesses go online and continue to provide support.

The newest generation of AI-based tools goes further. Instead of requiring the business owner to choose a template, configure a layout, or manually connect a payment gateway, they generate a complete, working website based on a simple text description. According to a 2026 Vi Business study, 57% of Indian SMEs consider AI an important driver for business growth, and about a quarter have already integrated AI into their operations. Infrastructure appears precisely when small businesses are ready for these changes.

When Website Creation Became a Business Solution

An example of this category's development is Hostinger's AI Builder. The business owner describes their activity in simple language or in one of more than 80 languages, including Hindi, Bengali, Tamil, and Telugu, and the tool creates a complete website, including code, file structure, and backend, based on this description. There is no need to set up templates, install plugins, or consult a developer. Plan costs start from 609 rupees per month.

The possibilities opened up afterward expand rapidly. Within the first 30 days, most users who created a website for the first time move beyond the basic resource: payment integrations are activated, Razorpay and UPI support allows Indian companies to accept payments immediately, and backend features like user login and data storage are added through simple prompts. The range of what SMEs can create reflects how much the definition of a website has changed. Booking and appointment systems, product catalogs with checkout, customer portals, inventory trackers—tools that previously required a developer and a significant budget are now available to the user from day one.

It is important to understand what AI website builders are suitable for. Businesses that require highly customized applications, complex integrations, or enterprise-level solutions will likely still need developers or specialized agencies. AI-generated content, especially for legal documents, SEO, and accessibility, needs human verification before it can be fully relied upon. However, for many SMEs whose main need is a reliable and functioning digital presence, these tools have radically changed capabilities.

Creation in Native Language

For entrepreneurs in second and third-tier cities, the barrier to going online was never purely technical; it was also linguistic. Studies consistently point to regional languages and voice channels as the primary ways many Indian SMEs interact with digital tools, reflecting the reality: a significant portion of business owners think, work, and communicate in Hindi, Tamil, Telugu, or Bengali, not English.

Hostinger's AI Builder supports prompts in over 80 languages, and the entire interface, pricing information, and supporting content are available in Hindi on hostinger.com/in-hi, which was developed after a series of usability tests with Hindi speakers. An entrepreneur in Kanpur or Coimbatore can describe their website in the language they work in, and the AI handles the rest. Furthermore, Hostinger manages a dedicated data center in Mumbai, ensuring high performance of local servers and data storage within the country for Indian customers.

Expanding the Role of AI

Launching a website is only part of the task. For an SME owner without their own marketing or operations team, what happens after launch is equally important. Hostinger's AI agent, named Kodee, performs over 500 administrative tasks on request, including backups, DNS configuration, store management, and billing support. According to the company, by early 2026, it managed 86% of all support requests on the platform.

Five specialized AI agents are also available directly from the dashboard: an SEO consultant, copywriter, marketing planner, legal counsel, and business consultant. Tasks such as keyword research, writing blog posts, email campaigns, privacy policies, and developing pricing strategies, which previously required hiring a freelancer or consultant, can now be solved with a simple prompt. For a solo business owner, this means a significant reduction in the workload that needs to be outsourced.

From Stability to Growth: The Technofet Example

For Technofet, a firm specializing in digital services and maintaining websites for multiple clients, the transition to Hostinger was less about new features and more about recovering lost time. Before migrating, the team regularly faced malware infections and security issues across several client websites simultaneously. Cleaning infections, fixing compromised files, and dealing with fallout consumed hours that should have been spent working with clients. After switching to Hostinger, security problems ceased. The result was clear: 10 to 15 hours were saved weekly, redirecting effort from troubleshooting to development. For a small team, this reallocation of resources is highly significant.

A Two-Person Typography Workshop

Mota Italic, a typography workshop founded by Rob Keller and Kimya Gandhi, operates as a two-person studio for almost two decades. During this time, they have created a library of 17 font families and 609 individual fonts, and completed 43 custom projects, managing all of this, including numerous websites, through a single Hostinger panel.

Before the switch, the website was a constant source of stress due to downtime, manual fixes, and unexpected failures. This situation changed afterward. Keller noted: 'Now I don't have to worry about the website. It just works.' For Gandhi, who had long postponed creating her own personal website because she considered the process too technical, the availability of visual tools completely changed her attitude toward the process. She said: 'I am glad it doesn't look like something you have to sit down and write code.'

The Inevitable Shift

Indian SMEs no longer face the same challenges they did ten years ago. Going online is no longer a complex undertaking. The question now is how quickly a business can turn an idea into a digital presence that it owns, controls, and can grow upon, without resorting to a developer, a large budget, or a technical team.

The tools are ready. The language barrier is shrinking. The cost barrier has largely disappeared. All that remains is the decision to act.

yourstory.comJuly 7, 09:39

How Artificial Intelligence is Transforming the Ecosystem of Logistics Startups in India

When discussing artificial intelligence in logistics, people often picture obvious elements: robots in warehouses, routing algorithms, or the rare use of drones. While this is not incorrect, such a view focuses on the wrong level of change.

The Paradigm Shift in Logistics

Automating physical labor primarily leads to cost reduction, but today, the decisive factor for success is not cost. The change that will reshape the logistics landscape in India is less visible; it lies in how decisions are made. What used to be a company's competitive advantage—having trucks, warehouses, and postal code coverage—is being replaced by something much harder to copy: what the company has learned through its operational activities.

Market Growth and AI Adoption

Artificial intelligence is already being actively implemented in Indian logistics. According to the market assessment 'India AI in Logistics' by the analytical firm Markets and Data, the AI in logistics market is expected to grow from $756 million in fiscal year 2024 to $6.8 billion by fiscal year 2032. Meanwhile, NASSCOM estimates the level of AI adoption in Indian enterprises at 2.45 out of 4.

Most people stop at these figures, seeing only increased efficiency—approximately a 15% reduction in logistics costs and up to a 50% increase in forecasting (Markets and Data). However, this is only a superficial aspect. Efficiency is the first-year dividend. The advantage that expands over time only manifests if the company is built with this in mind, and most companies are not.

From Reporting to Decision Making

Over the last decade, logistics software provided visibility—dashboards showing cargo location and the profitability of a specific route. The publicly listed company Delhivery built a significant part of its scale precisely on this visibility infrastructure. Visibility remains important, but it is no longer what distinguishes leaders. The main question now is whether your mechanism can act autonomously based on the data received. Knowing that a warehouse might run out in two days is useful; but a system that has already moved the goods before you receive the notification is an entirely different level.

This transition from simply reporting a problem to resolving it marks a shift from reporting to decision making, and all other processes develop below this level. Consider the example of a solar company aiming to increase daily installations from 12 to 50. The obvious answer is to hire more workers. However, the real bottleneck is often related to judgment: one operations manager keeps track of installer schedules, panel inventory, and site readiness in their head, with most information processed over the phone. This process depends on genius, and geniuses have limits; they reach their limit around 20 installations per day, and this limit can collapse when the manager receives a better offer.

Systems Over Heroes

Implementing a system that consistently organizes installations based on current inventory and personnel availability allows achieving the 50 target without the need for such rapid hiring. What has been acquired is not just a good quarter, but a new way of working that persists as metrics grow. This is the true meaning of the phrase 'systems over heroes'—a concept that is duller but more valuable than it seems.

This is where the advantage accumulates, which is often underestimated. Every time the system works, errors, especially those that occur, serve as the basis for the next decision. A platform that has processed millions of such cases for multiple brands and cities possesses not just a large volume of data; it has accumulated operational experience that cannot be bought, but can only be gained through practice. This is cumulative intelligence, and this is why the category is ranked by learning speed, not by who has raised the most capital.

Benefit for Small and Medium Businesses

The greatest benefit is enjoyed by brands that have long been ignored by the market. Companies with annual revenues between 20 and 500 crore rupees are too large to manage logistics with spreadsheets and phone calls, but too small for the bespoke approach that Flipkart receives. AI makes serving the mid-segment economically viable, allowing a brand in Jaipur to send goods to Siliguri with a level of orchestration previously reserved for metropolises. Experts believe that a significant part of India's export and job growth will depend on this.

How to Determine Your Approach

If you manage such a business, stop measuring yourself by the volume of the controlled network. Instead, ask yourself: does your system fix problems or just report them? Will your advantage survive after the best employee quits on Friday? Does every order make the next decision more accurate, or does it just add to a history from which you extract nothing? If your answer is yes to all these questions, you are achieving a cumulative effect. If not, you are simply automating routine tasks and calling it transformation.

There is an important caveat: this is not universally applicable. In the segment of bulk commodity transportation, where the game is determined by cost per kilometer and asset density, learning speed is insignificant, and the old asset-based barrier remains valid. The argument applies to complex tasks: many SKUs, multi-node execution for fast-growing brands, which aligns with the direction of India's consumer economy development.

Achieving the $5 trillion economy constantly discussed for 2030 is impossible without a substantial improvement in trade turnover. The companies that lead this will not just automate warehouses—that will become commonplace. They will automate a more complex task—judgment, which was previously in the heads of several people, turning improvised supply chains into operations that make decisions and continuously improve themselves. It is this, not robots, that is rewriting logistics with AI.

business-standard.comJune 26, 16:30

Nasscom asserts that AI will transform, not replace, Indian IT services, creating a global market worth $300-400 billion by 2030

The Nasscom CEOs Forum in the USA stated that India's technology services sector will maintain its significance for transforming global enterprises in the age of artificial intelligence, despite changes in how these services are delivered and scaled.

Market Expansion Driven by AI

Leaders of Indian technology companies participating in the discussion emphasized that AI will increase the potential market in areas such as corporate system modernization, data handling, AI governance, and intelligent operations.

According to industry data, about a quarter of technology companies have already implemented experimental AI projects in their workflows. Currently, the industry generates revenue from AI services worth approximately $10–12 billion, with over two million specialists possessing AI skills, and 100,000–200,000 having undergone training in advanced AI capabilities. Approximately 85 percent of technology service providers are already using AI agent platforms.

The Need to Move Towards Production

The discussion, held at the Consulate General of India in New York and attended by Governor Matt Mayer and Secretary Charuni Patibandya-Sanchez, showed that the impact of AI on technology services cannot be assessed solely through the lens of task automation. Ravi Kumar, CEO of Cognizant and Chairman of the Nasscom US CEO Forum, noted that the next phase of AI goes beyond mere experimentation. Enterprises must now translate AI capabilities into real value, which requires data readiness, workflow redesign, secure implementation, governance, and change management. He added that Indian technology companies possess deep experience and a strong capability to lead in these areas.

New Requirements for IT Services

While AI will drive productivity growth and simplify some standardized, repetitive work, it will also increase demand for technology orchestration, data readiness, application modernization, AI governance, cybersecurity, agent management, and industry-specific solutions. Rajesh Nambiar, President of Nasscom, stated that companies will continue to focus on their core business, but they will require specialized partners for the responsible implementation and scaling of AI.

He explained that as AI moves into production environments, enterprises will need to integrate models, applications, data platforms, cloud environments, cybersecurity tools, regulatory requirements, and industry systems into a robust operational model. The value of IT services will increasingly lie in ensuring the secure, efficient, and large-scale operation of these systems.

Market Growth Forecast

The industry forecasts that a new AI services market worth between $300 and $400 billion will emerge by 2030, covering areas such as AI data, legacy system modernization, agentic workflows, AI operations, cybersecurity, and AI governance. Furthermore, business processes will transition from simple transaction execution to intelligent operations as AI automates routine tasks, shifting human effort towards oversight, exception handling, analytics, decision support, and quality control.