Key Takeaway
The adoption of AI has significantly increased across various C-suite roles, prompting discussions on scalable enterprise transformation use cases. HCLTech identifies two key areas for AI deployment: technology and software engineering, enhancing product development speed, and customer service, including e-commerce and omnichannel experiences. With over 15 years in AI, HCLTech offers four main services: service transformation, AI engineering, business AI through data modernization, and AI Labs for rapid MVP development. Ethical AI practices are integrated into all offerings, supported by a dedicated responsible AI office to ensure governance, bias reduction, and fairness in implementations.
Over the past few years, there has been a significant journey in the adoption of AI.
In every discussion, the question arises: “What can I achieve at scale with AI?”
This is a crucial aspect that has evolved across the C-suite, including CFOs, CMOs, Chief Sales Officers, and CROs. There is broader adoption and dialogue surrounding the creation of enterprise transformation use cases for AI.
What are the most exciting and promising AI applications currently being deployed across HCLTech’s global client base? Where are you witnessing the fastest adoption?
There are several areas, but two particularly stand out.
First, we are observing substantial adoption of AI in technology and software engineering, which is accelerating product development and reducing time to market.
The second key area for AI adoption is customer service. When I refer to customer service, I mean not just contact centers, but also e-commerce and omnichannel experiences.
There is considerable AI adoption occurring from the perspective of end consumers and customers as well.
How does HCLTech assist its clients in managing the practical and ethical considerations of AI deployment, especially in industries where data sensitivity and regulatory compliance are paramount?
From HCLTech’s perspective, we have been engaged in the AI space for over 15 years.
Initially, we were among the few service providers to establish an AI research organization around 2015 or 2016, investing significant effort into developing AI-led products and services within enterprises over the past eight to ten years.
As Gen AI gained momentum between 2022 and 2023, we developed four AI offerings for our clients.
The first is what we refer to as service transformation—enhancing our service delivery for improved productivity and quicker time to market.
We offer a solution called AI Force, which is a unique platform and product from HCLTech aimed at boosting productivity in our services business.
The second focus area is AI engineering. We are a comprehensive provider of AI technology, engaging significantly in hardware, semiconductors, and storage engineering for some of the largest hyperscalers and chip vendors in the industry.
In this realm, we are also distinctly advanced in the physical AI space.
The third area involves business AI and the scaling of enterprise AI. It is essential to have the right data, data quality, and modernized data. For this, we offer AI Foundry, which facilitates data modernization and the scaling of AI within enterprises.
Lastly, we have AI Labs that promote engagement and expedite MVP development for our clients, prioritizing the right use cases.
From HCLTech’s standpoint, the ethical and safe use of AI is integrated into all four of these offerings.
We maintain a responsible AI office and an AI governance office staffed with subject matter and technical experts who ensure robust capabilities around responsible AI.
Additionally, we have our own technology stack and intellectual property focused on responsible AI, which we provide to our clients. This ensures the safety of AI, governance, bias reduction, and fairness in AI implementations across all our offerings for our customers.
