The adoption of enterprise generative artificial intelligence (enterprise genAI) is being driven by function-specific, company-agnostic solutions as more organisations seek to integrate it into their digital transformation efforts.
This, industry executives said, not only helps integrate enterprise genAI to accelerate operational and business processes but also helps with data privacy and security.
“While the buzz around AI in recent times has been because of open-source platforms (like ChatGPT), the potential for innovation in enterprise AI is the real growth driver,” said Anand Mahurkar, founder and chief executive officer at Findability Sciences, an AI solutions and products provider based in the US.
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Further, he said that with enterprise AI, solutions can be developed within the organisation’s firewall or ecosystem, allowing models to be trained on company-specific data. This approach enables the delivery of more precise solutions for business and operational processes, thereby accelerating problem-solving.
“The way we look at integrating AI or gen AI is to identify silos where the models can be trained to the need of the client, using client data within their firewall,” Atul Ahuja, chief technology officer at UK-based digital transformation and cybersecurity solution provider Noventiq added.
This approach allows solution providers to build the basic solution module, and then allow different clients to customise the same as per their needs. Solutions across functions like human resource management, finance, logistics, and sales are common to multiple industries and are being developed at scale.
For example, IBM has called out this strategy as it pivots from hardware manufacturing to software development and AI consulting. In a recent conversation with FE, the global tech giant’s general manager, product management for data & AI Ritika Gunnar said that the firm has launched solutions for HR, customer care and coding in the market and now looking to scale up across sales and finance functions.
IBM is also opening up some of its enterprise GenAI products to the partner eco-system where not only will IBM create domain assistants, but also open it up to the eco-system partners to build on top.
“By integrating AI solutions into multiple areas of the business, organisations can eliminate operational silos and ensure a more cohesive approach to problem-solving,” Dhana Kumarasamy, CEO, Fulcrum Digital, a US-based digital transformation services provider, said.
Fulcrum Digital, also provides function-specific gen AI solutions through what it calls AI agents under its FD Ryze offering. It has an AI agents marketplace where enterprises can choose the agents that they need to automate workflows accelerate business processes and build an AI agent suite to suit their needs.
“By strategically deploying AI across horizontal functions, enterprises can harness collective insights, streamline processes, and foster a data-driven decision-making environment, ultimately positioning themselves for sustained growth and competitive advantage in an increasingly dynamic market,” Kumaraswamy added.
In the case of Fulcrum Digital, since a large chunk of its client base is in the BFSI sector, some of these agents developed also help with functions common to the sector.
The function or domain-led approach also allows for greater compliance as nations across the globe sharpen their AI ethics policies. Since this module restricts the use of a company’s data within its network framework, there are fewer chances of data leaks or breaches. Simultaneously, since there is no need to get data from the internet at large as is the case with open-source platforms, there is less chance of AI bias or discrimination setting in, experts added.
