In the AI era, mid-market enterprises and mega-corporations stand out as prime candidates to harness AI’s potential. Tech giants such as Google and Microsoft are leveraging AI to automate their business processes while also promoting AI innovations to maintain a competitive edge over each other.

If you’re a mid-market enterprise (revenue $500 million to $5 billion with an annual IT budget of less than $10 million), you are experiencing a FOMO (Fear Of Missing Out) and feel the urge to quickly adopt AI, this is an article for you.

We’ve helped scores of clients across the globe take their first step in the world of AI. In this article we take a bird’s eye view of how to approach your AI journey. According to Gartner, AI can be categorized into two high-level organizational categories:

1. Everyday AI enhances productivity by enabling humans to work faster and more efficiently at the things you already do. For mid-market businesses, leveraging everyday AI can yield several benefits. It helps improve decision-making, expedite product development cycles, enhance customer experience through personalization and reduce cost overheads.
2. Game-changing AI enhances creativity by either enabling you to create results via new products and services, or through new core capabilities. Game-changing AI will disrupt business models and industries. It’s enabling businesses like Amazon and Tesla in creating new market niches to creatively scale their business. 

The lure of game-changing AI excites all data and analytics leaders. However, the odds of success in game-changing AI for a mid-market enterprise with a lower data maturity level are like the odds of an ordinary person becoming the next Taylor Swift. This arduous climb to stardom is not impossible, but you need to have a well-defined strategy for integrating AI into the fabric of mid-market enterprises.

Early successes can have a great positive impact on any journey and AI journey is no different. We recommend taking up any of the following RAG based use cases which are common across businesses: 

1. AI Powered Field Sales Co-pilot – It helps shorten the sales cycles. Imagine an AI powered sales sidekick, built on the RAG model, who will enable your sales representatives to instantly provide accurate information to customers for all their product-related queries.
2. AI Powered Research Summarizer – Why waste time sifting through research reports when AI can help you process research documents and summarize the most relevant information as per your needs.
3. Bill-of-Materials (BOM) Extraction – With AI, you can automatically identify and categorize data within BOM documents like parts lists, specifications, quantity, pricing, and other details.
4. Multilingual Translations – AI can facilitate real-time translation through conversational AI capabilities or translate content in documents like sales collaterals, contracts, and proposals.

Mid-market enterprises can leverage these tailored AI solutions to achieve early wins and lay the groundwork for the success of their overall AI journey. For more details, check our Play Store to discover the boundless potential of AI across various industries.