Companies whose own annual reports evidence AI exposure — building or selling AI products, not merely mentioning the trend. The tier says how real it is; the quote under each row is the proof.
AI is referenced only as a broad industry transformation trend, with no description of any AI product, platform or service the Company itself develops or sells.
“The automotive industry is undergoing a profound transformation driven by decarbonisation, software, artificial intelligence and advanced manufacturing technologies.”
Nestlé India operationally deploys AI/ML (including an agentic AI bot called Tejas) within its supply chain and procurement functions, but AI is not a business line or revenue driver.
“AI and ML adoption; including agentic AI and Tejas, the AI enabled order validation bot - improves purchase order hygiene and accelerates operational excellence.”
AI is positioned as an internal enabler via the VISM.ai framework for software development and shop-floor quality, not as a separately sold AI product or service.
“We have made significant progress in establishing a structured AI ecosystem through the launch of VISM.ai (Value driven Innovation & Strategic Management of AI), creating a strong foundation for AI-driven innovation and scaled adoption of AI across the organization.”
Polycab mentions operational deployment of AI platforms and loyalty apps to drive influencer engagement as part of its 'Digital DNA' retail strategy, but AI is not a business line.
“Advanced AI platforms and our dedicated loyalty apps are currently driving stronger engagement across a vast network of registered influencers.”
Britannia operationally deploys AI/Gen-AI platforms (Google Gemini-based voice recipe experience for Bourbon, Gen AI storytelling for Milk Bikis) as consumer-engagement marketing tools, not as a product or service line.
“Powered by Google Gemini, the platform enabled generative recipe creation through the digital AI avatar of Chef Pooja Dhingra.”
Executive Chairman flags AI as an area of investment for internal digital/connected-mobility capabilities; no AI product, platform or service is sold.
“we are also accelerating investments in artificial Intelligence & digital infrastructure and platforms, data-led decision making, intelligent manufacturing, and emerging technologies that will define the next generation of mobility experiences.”
Zydus references AI only as an internal productivity and R&D tool, not as a product or service it sells.
“rapidly expanding digital and AI-enabled capabilities across research, manufacturing, and commercial functions. Cutting-edge tools like AI-assisted pathology and clinical risk stratification are already transforming how our scientists innovate.”
HDFC AMC describes embedding AI across research, analytics, investor engagement and operations as a strategic enabler of its asset management business, but AI is not a separate revenue-generating product or service line.
“Artificial intelligence is being embedded across functions as a force multiplier. From enhancing research and investment processes to enabling personalised investor engagement and improving operational efficiency, our focus is on augmenting human judgement rather than replacing it.”
Mankind deploys AI tools internally (Superman 2.0, SuperAI, Super Coach, 30+ function-specific agents) with Microsoft/OpenAI and a Denovo AI drug-discovery partnership, but AI is not a sold product or revenue line — it supports the pharma business.
“Over the last two years, our digital journey marked a decisive shift, with AI evolving from pilot initiatives into enterprise-wide capabilities delivering measurable business impact.”
AI is mentioned only as an internal productivity tool (document summarisation, search, team communication), not as a commercial product or service.
“We continued to advance our digital capabilities through selective adoption of AI-led tools. This included deployment of document management systems with AI-enabled summarisation and search, along with in-house tools to improve communication and productivity across teams.”
AI is embedded internally across telecom networks and customer journeys as an operational capability, but is not sold as a standalone AI product or service line.
“At the same time, our AI-led transformation gained significant momentum. By embedding AI across networks, operations and customer journeys, we are improving agility, elevating customer experiences and building a stronger competitive advantage.”
AI is referenced as an emerging technology HPCL is leveraging for operational efficiency, but not positioned as a principal business or product line.
“Emerging technologies such as artificial intelligence, advanced analytics, machine learning and predictive maintenance are increasingly transforming the way we operate and create value.”
AI is positioned only as part of the CMD's future vision for emerging technologies — no operational AI products, platforms or services are described.
“The vision also emphasizes meeting sustainable energy targets through the integration of Artificial Intelligence (AI), along with the adoption of other new and emerging technologies such as: EV integration into the grid, cybersecurity and digital protection, green hydrogen, bioenergy and energy storage.”
AI is referenced only as part of aspirational future technology investment plans in the business outlook, not as a developed or sold product.
“Swiggy will continue investing in technology capabilities, AI-led solutions, automation and logistics infrastructure to improve scalability, operational productivity and customer experience.”
YES BANK uses AI-powered chatbots across customer journeys and AI-driven catchment analysis for its digital banking service (IRIS platform), but AI is an embedded capability supporting its core banking business rather than a standalone AI product, platform or service offering.
“AI-powered chatbots deployed across customer journeys are improving service efficiency, accessibility, and personalisation, while advancing our commitment to paperless and green banking, and operational excellence.”
Dabur has rolled out an enterprise-wide AI platform and established a centralized AI framework for internal use across sales, marketing, commercial, and supply chain functions; AI is an internal capability supporting its FMCG business, not a revenue-generating business line.
“A major focus during the year was the structured and responsible adoption of artificial intelligence across key business functions. A centralized AI framework was established to identify, prioritize, and scale AI-led use cases across Sales, Marketing, Commercial, and Supply Chain operations.”
AI is referenced only as industry commentary about how the broader pharmaceutical R&D landscape is changing, not as an operational deployment or business line.
“AI and data science are reshaping how targets are identified, trials are designed, and evidence is generated.”
AI is referenced as an internal lighthouse activity (Operations Strategy) and as an external analytics platform collaboration, but not sold as a product/service.
“Smart use of data, digitalisation and Al, flexible production concepts, and new technologies.”
TII is piloting AI internally for manufacturing optimization (machine throughput, prescriptive maintenance, computer vision quality inspection), but AI is a tool for internal efficiency rather than a commercial AI product or service.
“Having built this robust digital capital, the Company is now fully prepared to transition from monitoring to active, AI-driven intervention. This year marked a shift to leveraging AI compute power for real-time decision-making, significantly enhancing global competitiveness and operational agility.”
AI is referenced as a transformative force in the life insurance industry (underwriting, distribution, customer experience), but only as industry commentary, not as a stated Max Financial business line or revenue driver.
“Technology, including data analytics and artificial intelligence, is playing a transformative role in underwriting, distribution, and customer experience.”
JK Cement mentions using AI-driven manufacturing intelligence to optimise production efficiency, but this is internal operational deployment within its core cement business, not a separate AI product or service.
“Advanced analytics and AI-driven manufacturing intelligence optimise our production efficiency.”
AI appears only as one of 15 material topics in PI's Double Materiality Assessment framework, with no evidence of AI products, services or operational deployment.
“Emerging technologies/AI”
Jubilant describes AI as increasingly embedded in their QSR customer experience, restaurant operations and decision-making, but AI is not a product or service — it is supporting language for their food-service platform.
“Artificial intelligence, advanced analytics and automation are becoming increasingly embedded across customer experience, restaurant operations and decision-making processes.”
AI/intelligent automation is referenced as a future trend the company is positioned for, but HAIL is described as a system integrator deploying Honeywell's solutions rather than developing/selling AI products of its own.
“the companies focus on key mega trends of Automation, Digitalization and Sustainability”
AI is discussed aspirationally in the CMD's statement and referenced as an operational tool (wearable AI Early Warning Systems, AI-enabled holographic breast health education, AI Augmented Reality brain surgery, DRISTI AI glasses for the visually impaired via KFRC), but it is not a commercial business line — only a supporting capability within the hospital chain.
“We need to urgently reflect on how AI is to be integrated into Medicine with responsibility and care. The emphasis will remain on ethics, patient privacy and safety.”
AI is mentioned aspirationally as one of several technologies the company is beginning to leverage internally for efficiency; no AI products, services or revenue are described.
“We are beginning to leverage data analytics, artificial intelligence, automation, and connected technologies to drive efficiency and agility across the organisation.”
PNB Housing Finance deploys AI internally across the loan lifecycle (intelligent calling, pre-delinquency management, lead conversion, re-KYC) for its own housing finance operations, not as a commercial AI product or service.
“We also advanced our use of artificial intelligence across key areas, enabling smarter decision-making and greater operational agility.”
Neuland describes applying AI for internal R&D productivity (route-of-synthesis design, RFP engine, document review) but does not sell or offer AI as a product/service.
“we are applying AI in selected R&D areas, including route-of-synthesis design and validation”
“We are evaluating AI-led interventions where they can create meaningful value. Current focus areas include route-of-synthesis design, validation of development approaches, analytics and automation of sampling and analysis.”
ABSLAMC describes using AI/ML internally to support its asset management operations (investment research, risk, customer servicing), but AI is not a product, platform or revenue line it sells to others.
“Beyond apps, we are increasingly leveraging artificial intelligence and machine learning across the organisation for strengthening investment research and portfolio analytics, enhancing risk management, improving operational efficiency and enabling more data-driven, personalised servicing at scale.”
AI deployed internally for production-line analytics, engineering documentation, supply chain, cybersecurity and within smart-IoT/health-wearable products — operationally useful but not a standalone revenue line.
“Our partnership with Arch Systems brought an AI-driven manufacturing intelligence platform onto the production floor in FY26, turning live production data into real-time insight”
AI is referenced only as part of the Chairman's forward-looking vision for emerging technologies, with no operational AI business or revenue disclosed.
“The vision also emphasizes meeting sustainable energy targets through the integration of Artificial Intelligence (AI), along with the adoption of other new and emerging technologies such as: EV integration into the grid, cybersecurity and digital protection, green hydrogen, bioenergy and energy storage.”
AI is referenced only as generic macro-economic commentary about global productivity upside, with no indication of any operational, product or service exposure by the company.
“While advances in digitalization and artificial intelligence‑driven productivity remain a potential source of upside, elevated uncertainty and reduced international policy coordination continue to pose meaningful downside risks to the medium‑term global economic outlook.”
Pfizer's AI use is purely internal (HR chatbots, talent marketplace, policy access, legal analytics) and not sold as a product or service, so it is aspirational/internal-tooling rather than an AI business.
“Pfizer continues to expand adoption of Artificial Intelligence (AI) across functions, including accelerated deployment of approved generative AI solutions in India during the year.”
The company describes integrating AI/ML into its R&D processes as a strategic trend, but this is aspirational language rather than a product or service line.
“Embracing global trends, we are integrating artificial intelligence and machine learning into our R&D, accelerating innovation, reducing costs, and enhancing precision in developing novel compounds.”
AI is mentioned only as a future internal digital roadmap item (AI in tenders, BI dashboards), not as a product or service.
“execute BI dashboards, automate weighbridges and deploy AI in tenders, presentations and bank guarantees.”
AI is discussed only as an industry-wide trend reshaping pharmaceutical R&D and commercialisation, not as a stated business line or operational deployment by Alivus.
“AI and Digital Acceleration: Artificial intelligence is streamlining drug discovery, clinical trials, and commercialisation, making pipelines more efficient and shortening time-to-market”
AI is referenced only as an industry-level growth driver for the global biotechnology sector; Concord does not develop, sell or deploy AI products or services.
“This growth is being fuelled by breakthroughs in genetic engineering, bio-pharmaceuticals, synthetic biology, and AI-assisted drug discovery.”
AI is mentioned only as a feature embedded in next-generation EW systems; Astra is not described as developing or selling AI/ML products itself.
“modern systems incorporating AI, jammers and directed energy weapons.”
CEO outlines AI-driven demand sensing as a strategic pillar for inventory optimisation, but this is aspirational outlook language about internal use, not an AI product or service business.
“Digital Depth: Leveraging AI-driven demand sensing to further optimise inventory and support cash release.”
AI is deployed internally for slag removal, automated weighbridges and energy monitoring — not a product or service business line.
“We continued our digital transformation drive, deploying AI-powered robotic arms for slag removal in high-temperature zones, unmanned RFID-enabled weighbridges for logistic automation, and smart energy dashboards to monitor our greenhouse gas footprint”
Definition used: Develops, sells or operationally deploys AI/ML models, platforms or AI-driven products and services. Generic "digital transformation" or aspirational AI language does NOT qualify.Membership is extracted from each company’s newest annual report; every quote is validated against the report page before publishing, and core/growing tiers are confirmed by a second independent read (marked ). Companies whose reports our corpus hasn’t read yet simply aren’t listed — absence means unread, not “no exposure”.
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