Artificial intelligence is moving beyond chatbots and basic writing tools. India’s technology companies are now trying to use it for everyday business work, from building software and managing IT operations to handling customer data and forecasting demand.

HCLTech, Coforge, and Google Cloud have announced new offerings with that goal. Their ideas are different, but each is aimed at reducing slow, repetitive work that often holds businesses back.

HCLTech’s nano GCC is a smaller route to enterprise AI

HCLTech has launched an AI-powered nano Global Capability Centre, or nano GCC, with Amazon Web Services. A GCC is usually a dedicated technology and operations hub set up by a large company in another country. It can handle software development, data work, finance support, customer operations, and more as per its Press release.

A traditional GCC can take time and money to build. HCLTech’s nano GCC model is designed to start smaller, with focused teams working on one defined business problem. If it works well, the company can expand the model gradually.

For example, a mid-sized overseas retailer may want to use AI to predict product demand or automate IT support but may not be ready to set up a large India office. HCLTech’s nano GCC could offer a lower-risk starting point.

The service combines HCLTech’s consulting and delivery teams with AWS cloud services. It will initially be supported through HCLTech’s India delivery network and its Lucknow centre of excellence. The larger impact could be faster adoption of AI by companies that previously saw large technology projects as too expensive or complex.

Coforge wants software development to work like a factory

Coforge has introduced what it calls an Autonomous Software Factory. The name sounds futuristic, but the central idea is straightforward reported the company.

Software projects involve many repeated tasks – writing code, testing it, checking for bugs, reviewing changes, and preparing releases. Coforge says its new model uses specialized AI agents to handle some of these tasks in parallel within a controlled environment.

An AI agent is software designed to carry out a specific task with limited human input. In this case, one agent may help write code while another checks tests or reviews quality. Human engineers would still make key decisions about product design, security, and final approval.

The potential benefit is speed. A bank updating a mobile app, for instance, could reduce the time spent on routine testing and code checks. But the real test will be quality. Faster software delivery means little if errors, security gaps, or compliance problems increase.

Coforge is competing in a market where global IT firms are also building AI-led engineering services. Its success will depend on whether its system produces reliable results for large enterprise clients.

Google Cloud focuses on small and mid-sized businesses

Google Cloud used its Cloud Day India 2026 event to show how small and mid-sized businesses can apply AI without needing a huge technology team.

Many smaller companies still struggle with data spread across spreadsheets, emails, billing systems, and customer records. Google Cloud’s pitch is that AI tools can connect this information and help staff get answers or complete tasks faster.

The company demonstrated a mix of Gemini models, Google Workspace, analytics tools, and cloud services. An apparel company such as Siyaram’s, for example, is using AI-based analytics to forecast demand across more than 40,000 products and support marketing work.

For a smaller business, the practical use could be simpler. A wholesaler could study sales patterns before placing an order. A service company could summarize customer requests and identify common complaints. The benefit is not replacing people. It is cutting time spent on repetitive work and helping teams make quicker decisions.

The bigger impact

These announcements show that business AI in India is becoming less about experimentation and more about solving specific operational problems.

HCLTech is offering a compact path for enterprises to build AI operations. Coforge is targeting the software-development cycle. Google Cloud is looking at the needs of smaller businesses that need useful tools without major IT investment.

The competition will be intense, with cloud providers, IT service firms, and software companies all chasing the same opportunity. For customers, the best choice will not be the tool with the biggest claim. It will be the one that saves time, protects data, and delivers a clear business result.

Shamrock AI has completed a $5 million seed round to help big companies use AI with more confidence. Meanwhile, Skyroot Aerospace is reportedly in talks to raise up to $300 million to expand its rocket-making capacity after its first orbital mission.

One company is working on software inside large businesses. The other is building rockets for small satellites. But both are chasing the same larger goal: turning ambitious technology into something customers can depend on.

Shamrock AI plans to make enterprise AI more reliable

As per BS, Enterprise AI startup Shamrock AI has raised $5 million, or about Rs. 47.34 crore, in a seed funding round led by Endiya Partners. Capria Ventures also participated in the round.

The company was founded by Sarat Addanki, Anuraag Nallapati and Mick Gallagher.

Shamrock AI is building tools that check whether AI systems are working properly inside large organizations. In simple terms, if a company uses AI to handle customer requests, process invoices, or manage supply-chain work, it needs to know whether the system is using correct data and following the right process.

That is where Shamrock wants to help. The startup says it will use the fresh capital to improve its product, hire more people and reach more customers. The opportunity is clear because businesses want automation, but they cannot afford costly mistakes in important operations.

Skyroot Aerospace looks to fund bigger rocket production

Hyderabad-based Skyroot Aerospace is reportedly discussing a $300 million fundraise in two parts. According to ET, the company may seek $150 million from Indian family offices at a valuation of roughly $2.3 billion to $2.5 billion. It may then raise another $150 million from global investors at a valuation of up to $3 billion.

It is important to note that this is still a reported fundraising discussion, not a completed deal.

Skyroot was founded in 2018 by former ISRO scientists Pawan Kumar Chandana and Naga Bharath Daka. The startup develops launch vehicles for small satellites and wants to make access to space faster and more affordable.

The company’s possible funding push comes after the maiden orbital mission of Vikram-1. Making rockets is expensive work. A growing launch company needs factories, testing facilities, engines, skilled engineers and reliable supply chains. This is likely why Skyroot is looking for a much larger amount than a typical software startup.

Anthropic has begun offering in-country inference for its Claude AI models in India through Amazon Web Services’ Amazon Bedrock platform.

In simple terms, requests made by Indian organizations can now be processed within AWS infrastructure in India instead of being routed to overseas locations. The move could make Claude more suitable for banks, hospitals, government departments and large companies that handle sensitive information.

What has Anthropic launched?

Amazon Bedrock now provides access to Anthropic’s Claude Opus 5, Claude Sonnet 5 and Claude Haiku 4.5 through an India geographic cross-Region inference profile.

The system uses AWS regions in Mumbai and Hyderabad. Requests can move between these two Indian regions, allowing AWS to balance workloads and maintain performance during periods of high demand. AWS says the traffic remains within India and moves through its secure network with encryption while in transit as per AWS announcement.

This is different from simply allowing Indian users to access Claude through the internet. The important change is where the AI model processes the prompt and generates its answer.

However, local inference does not mean Claude runs offline on a user’s laptop or phone. It remains a cloud-based service managed through Amazon Bedrock.

Why local inference is important

Many Indian organizations work with information that cannot easily be sent outside the country. This may include bank records, medical information, government documents, customer identities and internal business data.

For example, a bank could use Claude to summarize loan documents or assist its customer-support team. A hospital may use an AI system to organize medical records. A government department could use it to search large document collections.

Local processing may make it easier for these organizations to meet internal security policies, contractual requirements and data-handling rules. It can also reduce the distance data travels, which may help lower response times for some applications.

Anthropic India managing director Irina Ghose said Indian customers, particularly those in regulated sectors, had requested local processing for critical workloads. India is also described as one of Claude’s most important markets, with software development accounting for a large share of work-related usage.

Benefits for Indian businesses

The main benefit is stronger data control. Companies can design their AI applications with a clearer understanding of where requests are processed.

The India-based cross-Region setup may also improve reliability. If one AWS region faces a capacity problem, traffic can be handled by the other Indian region. This is useful for customer-service platforms, coding tools and business applications that need steady performance.

Amazon Bedrock also gives companies access to security controls, identity management and monitoring tools available within the AWS ecosystem. Developers can use Anthropic’s Messages API, the Bedrock InvokeModel API or the Converse API to build applications per AWS technical guidance.

Impact on India’s AI ecosystem

The move could encourage more Indian companies to shift from small AI experiments to production systems. Local banks, IT companies, healthcare firms, universities and public agencies may find it easier to evaluate Claude for real business tasks.

Anthropic will face competition from Google’s Gemini models on Vertex AI, OpenAI models available through cloud platforms, Microsoft Azure AI services and Indian language-model companies.

The key question will be pricing, performance and compliance. Local processing may help with data residency, but companies will still need strong access controls, careful data policies and human oversight. AI responses can also contain mistakes, so sensitive decisions should not be fully automated without review.

Conclusion with key takeaways

Anthropic’s India launch through AWS Bedrock is mainly an enterprise-focused development. It gives Indian organizations access to Claude models while keeping inference inside AWS regions in Mumbai and Hyderabad.

Key takeaways-

• Claude Opus 5, Sonnet 5 and Haiku 4.5 are available through AWS Bedrock in India.
• Inference requests can be processed between AWS regions in Mumbai and Hyderabad.
• The move may help regulated sectors manage data-residency concerns.
• Local inference can support lower latency, better reliability and easier compliance planning.
• The service remains cloud-based and is not an offline version of Claude.
• Indian businesses will still need security controls, testing and human supervision.

Ref. Claude on Amazon Bedrock

Zoho has introduced Zia Chat, a conversational AI tool designed to help employees work across business applications from one place. Instead of opening several apps to find information, users can ask questions in normal language and receive answers based on their authorized business data.

The announcement was made at a Zoho event in Chennai. Zoho’s co-founder and chief scientist Sridhar Vembu described the problem as an “interface crisis”, where employees spend too much time moving between software tools and searching for information. HT reported that Zia Chat is designed to bring these activities into one conversational interface.

What is Zia Chat

Zia Chat is more than a chatbot that answers general questions. It is designed to search business records, understand context, analyze information and complete selected tasks.

A sales manager could ask, “Which customers have not received a follow-up this week?” Zia Chat could search the relevant records and present the result. The user may then ask it to prepare a follow-up email or create tasks for the sales team.

Zoho says Zia Chat can help users search across applications, prepare reports and presentations, draft emails, create tasks and perform other business actions. It can also connect information between different Zoho products, depending on the employee’s existing access rights.

The tool is also expected to work with external applications through Model Context Protocol integrations. In simple terms, this can allow businesses to connect other software and bring information from those systems into the same chat experience.

Core capabilities of Zia Chat

The main strength of Zia Chat is its connection with business context. It is intended to understand information from tools such as CRM, email, analytics, customer support and workplace applications.

Its key capabilities include –

• Searching business data using everyday language
• Comparing sales, customer or financial information
• Creating reports and presentations
• Drafting emails and other workplace content
• Creating tasks and updating records
• Connecting information from Zoho and selected third-party apps
• Linking answers back to the records used
• Asking for confirmation before completing important actions

Zoho also says that Zia Chat will follow user permissions. This means an employee should only be able to view information or perform actions that their account already allows. Zoho has further stated that data accessed through Zia Chat will not be used to train its AI models. Zoho’s Zia chat official page also highlights its shared data model and company-owned technology stack.

What does ubiquitous intelligence mean

The phrase “ubiquitous intelligence” means AI that is available throughout daily work instead of being limited to one separate application.

For example, a customer support employee may ask Zia Chat to summarize a complaint, check the customer’s previous interactions and prepare a suitable response. A finance employee may ask for a comparison of monthly expenses. A manager may request a summary of pending tasks across departments.

The aim is to reduce repetitive searching and help employees make decisions faster. Zoho’s existing Ask Zia tools already support natural-language searches, data analysis, reports and recommendations across business systems. Zoho explains these capabilities on its official website.

Availability and competition

Zoho says Zia Chat is expected to enter early access within a month of its announcement. The initial version will be available in English under a bring-your-own-key model, which means businesses may need to provide their own AI model access. More languages are expected later.

Zia Chat will compete with other workplace AI assistants that are trying to connect email, documents, customer records and business software. Its main advantage could be the depth of its connection with the Zoho ecosystem. However, its usefulness will depend on how many third-party tools it supports, how accurate its answers are and how much control administrators receive.

Conclusion and key takeaways

Zia Chat shows Zoho’s wider plan to make AI a regular part of business software. Its purpose is not simply to generate text. The bigger goal is to help employees find information, understand data and complete work through a single conversation.

For a small business, this could mean fewer hours spent preparing reports or checking records. For a larger company, it could provide one common way to work across departments while still respecting access controls.

Key takeaways –

• Zia Chat is Zoho’s new conversational AI interface for business users.
• It can search information, analyse data, draft content and create tasks.
• It is designed to work across Zoho applications and selected external systems.
• User permissions and action confirmations are built into the experience.
• Zia Chat is part of Zoho’s wider vision of intelligence across everyday business software.

Image Credit- Zoho