Key Points
- Industry leaders say AI governance has not kept pace with model capabilities
- Healthcare sector faces unique AI accuracy challenges in clinical applications
- Enterprises urged to build continuous data oversight architecture
Enterprise AI adoption has outpaced governance frameworks, with most organisations running artificial intelligence across workflows without adequate oversight of sensitive data handling, industry leaders said on AI Appreciation Day observed on 16 July.
The gap between AI capability and data governance has become the central concern for boards, regulators and chief information security officers, according to technology executives who called for continuous monitoring rather than annual compliance checks.
“The models have delivered. The governance hasn’t,” said Nilesh Bhojani, chief product and technology officer, Seclore, a data security firm. “Most enterprises are running AI across their workflows right now. Some knowingly, some not. And the question that keeps coming up isn’t whether AI is useful. It’s whether anyone actually knows what it’s doing with sensitive data.”
Bhojani argued that responsible AI adoption requires knowing what sensitive information AI systems access, controlling what data leaves an organisation’s environment and demonstrating compliance continuously rather than at annual audits. “That’s what responsible AI adoption looks like in practice — not a policy, not a principle. An architecture,” he said.
Healthcare sector
The healthcare industry faces particular challenges in deploying AI systems where speed cannot compromise clinical accuracy, executives said. AI is being applied across the sector’s value chain — from evidence generation and analysis of real-world data to how medical knowledge is discovered and applied by clinicians and patients.
“The opportunity is real — faster access to evidence, more personalised learning for healthcare professionals, and more understandable health information for patients,” said Nilesh Aggarwal, chief executive officer of IJCP Group and founder of Medtalks, a healthcare communications platform. “But healthcare is a domain where speed can never come at the cost of accuracy.”
Aggarwal emphasised that AI systems in healthcare must be trained on credible, evidence-based sources with clinical oversight guiding every output. “We see AI as an enabler that strengthens healthcare learning, evidence generation and patient education — while keeping doctors and scientific rigour firmly at the centre,” he added.
Infrastructure and human oversight
Technology leaders said AI’s impact depends not merely on the intelligence of the models but on the infrastructure, governance frameworks and engineering that support them.
“At AHEAD, we believe AI creates the greatest impact when it is built on a modern technology foundation that helps organisations innovate with confidence, simplify operations and accelerate transformation,” said Sumed Marwaha, managing director of AHEAD India, a digital infrastructure consultancy. “The future of enterprise AI will be shaped not only by what AI can do, but by how ready organisations are to put it into practice.”
Manoj Kapoor, president and CEO, enGen Global, a healthcare technology company, said the firm was scaling AI across its platforms and processes while maintaining governance, transparency and human oversight.
“Becoming AI-first is not just about adopting new technology — it is about transforming how we think, work and innovate,” Kapoor said. “The future belongs to organisations that can seamlessly bring together human ingenuity and AI at scale, creating a more intelligent, agile and trusted enterprise.”
What is AI Appreciation Day
AI Appreciation Day, observed annually on 16 July, was established to recognise the contributions of artificial intelligence to society and the economy. The observance has become an occasion for industry leaders to assess progress in AI deployment and highlight challenges that remain unaddressed.
The comments from Indian technology executives reflect broader global concerns about AI governance. Regulatory frameworks in India remain under development, with the Digital Personal Data Protection Act 2023 providing a foundation for data handling but specific AI governance rules yet to be finalised.
Enterprises deploying AI systems face growing pressure from regulators and stakeholders to demonstrate that automated decision-making processes are transparent, auditable and compliant with data protection requirements. The industry consensus emerging from AI Appreciation Day 2026 suggests that technical capability has advanced faster than the organisational structures needed to deploy it responsibly.
Your Questions, Answered
What is AI Appreciation Day and when is it observed?
AI Appreciation Day is observed annually on 16 July to recognise the contributions of artificial intelligence to society and the economy. It has become an occasion for industry leaders to assess AI deployment progress and highlight governance challenges.
What is the main concern industry leaders raised about enterprise AI?
Industry leaders said AI governance has not kept pace with model capabilities. Most enterprises are running AI across workflows without adequate oversight of what sensitive data these systems access and how they handle it.
Why does healthcare face unique AI adoption challenges?
Healthcare requires clinical accuracy that cannot be compromised for speed. AI systems in healthcare must be trained on credible evidence-based sources with clinical oversight guiding outputs, according to industry executives.
What does responsible AI adoption require according to experts?
Responsible AI adoption requires knowing what sensitive data AI systems touch, controlling what leaves an organisation's environment, and demonstrating compliance continuously rather than at annual audits — built as architecture rather than policy.
