AI Appreciation Day puts focus on enterprise change

Technology leaders are using AI Appreciation Day to call for a sharper focus on how artificial intelligence is reshaping work, security and enterprise operations.

Comments from executives across software, security and consulting suggest a shift away from experimental tools and toward embedded systems that affect staffing models, governance structures and business risk.

At automation specialist Avantra, Chief Technology Officer Jan Karstens highlighted AI's impact inside large-scale SAP estates. He described systems that continuously monitor infrastructure and analyse vast data volumes without human intervention, particularly in complex enterprise resource planning environments where outages carry financial and regulatory consequences.

"AI Appreciation Day is a good moment to talk about what's actually impressive right now, and where it's heading. It is the speed and scale of pattern detection: watching an entire SAP landscape in real time, across thousands of signals at once, catching anomalies no human team could track manually. That's already happening. Detection is the current chapter, not the ending. The direction we're heading is AI agents that orchestrate operations end-to-end: diagnosing root cause, coordinating response, and acting, not just alerting. That also changes how operations get staffed: work that once had to be spread across large, distributed teams can sit closer to the business again, run by a smaller core team working alongside AI. Handing an agent authority to act on production systems, not just flag issues, is a different level of trust. It has to be earned by seeing exactly what the agent did, why, and where its authority ends. That's the honest conversation AI Appreciation Day should be having," said Jan Karstens, Chief Technology Officer, Avantra.

Karstens described the current phase of enterprise AI as centred on anomaly detection. He outlined a next stage in which software agents take on more of the diagnosis and remediation work now handled by operators and engineers. His comments also underscored growing concern over how organisations validate and constrain autonomous systems before allowing them to act in production environments.

In India's technology sector, executives placed more emphasis on people and skills than on specific tools. Harjiv Singh, Founder and Chief Executive Officer of CambrianEdge.ai, pointed to the scale of engineering education and an early-stage workforce that treats AI as a default design assumption.

"What we're celebrating this year is the recognition that human intelligence must remain at the center. We produce 1.5 million (https://community.nasscom.in/communities/ai/indias-ai-talent-crisis-real-and-its-costing-us-future) engineers annually, and a growing cohort is thinking in AI-native terms from the start. They're designing systems where machine capability amplifies human judgment, human creativity, human leadership. Yes, only 16% of IT professionals have AI skills. Yes, AI-related job demand has crossed 1 million roles this year. But that gap is also our opportunity. We have the scale, the talent pipeline, and engineers who can build AI the right way from the beginning. The ones who understand that every system they create should make humans better at what only humans can do. That's the future we're building," said Harjiv Singh, Founder and Chief Executive Officer, CambrianEdge.ai.

Singh pointed to a gap between current AI skills and hiring demand. He framed that shortfall as a strategic opening for economies with large STEM talent pools and stressed that human oversight and purpose should remain central to system design.

Attention is also turning to how AI is changing organisational processes and governance. At communications and consulting firm Gutenberg, Co-Founder and President Amardeep Singh argued that firms integrating AI into day-to-day workflows are seeing more durable results than those treating large language models as add-ons.

"AI Appreciation Day is a good moment to be precise about what we're actually celebrating. AI transformation was never as simple as subscribing to an LLM tool, it's the combination of human judgment, creativity, governance, and culture that makes the technology matter. The organisations getting this right are the ones willing to rebuild how people actually work, not just bolt AI onto old processes. What matters most is the friction AI removes between an idea and its execution, giving people more room for the judgment that technology still can't replicate," said Amardeep Singh, Co-Founder and President, Gutenberg.

Singh linked effective AI programmes to a willingness to redesign roles and workflows rather than layer automation onto legacy structures. His focus on "friction" reflects a broader industry debate over productivity gains versus the costs of job redesign and training.

Security specialists are watching a similar transition in cyber operations. Roi Vanunu, Director of Product Management at security firm Jazz, said the most important developments now go beyond document drafting or code generation to systems that interpret behaviour.

"AI Appreciation Day is worth pausing on; not to celebrate AI for drafting and generating, but for what it's starting to make possible at a deeper level: human-level understanding, at scale. DLP has fallen short for decades, and the failure wasn't just detection. It was architectural. Rules and pattern matching can flag activity. They can never understand it. A tool can see that a file moved, but not whether that made sense given who moved it, their role, and what the business actually cares about. That gap always needed a human to close. AI changes the equation. For the first time, it's possible to build security tools that don't just detect; they understand. They can assess intent, context, and business meaning at the speed and scale humans can't. The judgment call that used to sit with the analyst now happens before anything is ever surfaced. That's the breakthrough worth celebrating: security that finally understands your business the way your team does," said Roi Vanunu, Director of Product Management, Jazz.