Enterprise AI Adoption in India: From Knowledge Search to Sales

A lot of Indian businesses are exploring AI. But the main question is where to start. Enterprise AI Adoption in India usually starts with problems such as helping employees to find information quickly or reaching potential customers more easily. You can start with just one task and expand it later when you are satisfied with the results, rather than changing everything at once.

What the Survey Says About Enterprise AI Adoption in India

According to the IBM Global AI Adoption Index 2023, summarized by the Government of India’s IndiaAI portal, among large Indian organisations, 59% of the IT professionals with around 1,000 employees have said that their companies were actively using AI, and another 27% of companies have said that they are exploring it. According to the same survey, there are some common challenges:

1. Limited AI skills: 30%
2. Lack of tools to build AI models: 28%
3. Complex projects: 27%
4. Ethical concerns: 26%
5. Complex data: 25%

There are some points to be noted. These numbers are from the 2023 report, and there was no mention of the sample size or the names of other countries; this includes comparisons as well. It also gives two different ways of describing the 59% figures. So, the exact covered group is not fully clear.

Where Enterprise AI Adoption in India Starts

According to us, the first project shares a clear daily pain point and the company's own data.

Knowledge search

Employees usually spend more time searching through the company’s documents, manuals, policies, and old files. An AI tool can help provide a solution faster. For more efficiency, the tool should also show which document and page the answer came from; this can help employees to check the information themselves.

Sales outreach

It can be difficult to scale customer outreach and can be time-consuming when calling potential customers. AI can help you make initial calls, assess leads, and schedule follow-ups. This allows the sales team to focus on promising leads. 

Software development

AI can help developers to write code, create tests, and prepare documentation. But people should always check the output before using it. The survey has pointed out the need to plan for skilled teams, suitable tools, and good-quality data before scaling AI in a business.

What to Ask Before You Scale Enterprise AI Adoption in India

Ask these questions before starting any AI projects; this will help your business to start a clear plan.

• What problem are we trying to solve?
• How will we measure the results?
• Where will our data be stored, and who can access it?
• Can users check the sources behind AI-generated answers?
• Who will review the AI's output?
• How will we manage security, rules, and compliance?
• Does our team have the skills needed to manage the system?

How We Approach Enterprise AI Adoption in India

At EICE, we offer three products for businesses to use AI in different areas.

AskEICE:

This helps your team to find company documents. It provides answers from the organisation’s own information with the help of Retrieval-Augmented Generation (RAG).

This can work with WhatsApp, able to read PDFs, scanned images, and office documents, and can be deployed fully on the organisation’s servers. This also helps in keeping the organisation’s data separate; it supports role-based access and links answers to the exact document and page.

 

EICEAIM:

EICEAIM is an AI-powered sales outreach platform; this helps you to reduce manual telecalling. Its AI agents make calls, and the platform tracks calls and other interactions.

 

EICE Catalyst:

EICE Catalyst brings AI into different stages of software development. It includes human review with key steps, responsible AI practices, governance features, and dashboards to help teams measure the value of their AI work.

If your business is exploring Enterprise AI Adoption in India, we’d be happy to discuss.