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Human-in-the-Loop AI: Building Systems That Align with Privacy, Ethics, and Regulation
#BuildingWithAI
Human-in-the-Loop AI Systems That Align with Privacy, Ethics, and Regulation
What's This Meetup All About?
On Saturday, August 2, 2025, Covasant Technologies hosted the fourth edition of its much-anticipated #BuildingWithAI Meetup, themed “Human-in-the-Loop AI: Building Systems That Align with Privacy, Ethics, and Regulation.” This event brought together enterprise leaders, AI practitioners, and data experts to discuss the evolving expectations from AI systems and the growing need for human oversight, ethical safeguards, and strong data foundations.
Attendees arrived and connected over introductions, sharing their interests in areas ranging from generative AI applications to LLM monitoring and AI governance. The energy in the room set the tone for a deeply engaging and forward-looking afternoon.
Kartikeya Prahlad, Senior Director, Global Inside Sales at Covasant Technologies, opened the sessions with a compelling talk titled “What Enterprises Really Expect from AI Teams Today.” Drawing from real client conversations, Kartikeya highlighted the shifting enterprise mindset from experimentation to accountable delivery. He emphasized the importance of explainability, outcome alignment, and responsible scaling as table stakes for enterprise AI success.

Next, Sitaram Tadepalli, SVP, Machine Learning Engineering at DBS Bank India, delivered an insightful session on “Privacy, Ethics, and Governance in the Age of Agentic AI.” He explored how privacy-aware architecture, policy-as-code enforcement, and regulatory compliance are being embedded into real-world AI workflows. His talk underscored the importance of structured governance, especially as agentic AI systems gain autonomy.
After a short networking break, CV Rammohan, Chief Delivery Officer at Covasant Technologies, led the session “Prompts, Probabilities & Prejudices – Why AI Still Needs the Human Touch.” He walked attendees through real-world examples of AI hallucinations, biased outcomes, and false positives emphasizing why human context remains critical even in the most advanced generative models.
The final session was delivered by Subhash Konduru, Senior Technology Manager at a leading UK-based multinational bank. In his talk, “Data Foundation for AI – Building Enterprise Identity for Hyper-Personalization,” Subhash shared strategies for engineering consent-aware data pipelines and constructing identity graphs that drive personalization while upholding privacy and compliance.
The meetup concluded with a vote of thanks and closing remarks. Participants left with actionable insights, new connections, and a shared vision: to build AI systems that are not just powerful, but also trustworthy, transparent, and human-aligned.
Featured Speakers

Kartikeya Prahlad
Senior Director – Global Inside Sales, Covasant Technologies

Sitaram Tadepalli
SVP – Machine Learning Engineering, DBS Bank India

CV Rammohan
Chief Delivery Officer, Covasant Technologies

Subhash Konduru
Senior Technology Manager, Leading UK-based Multinational Bank
A Quick Glance
Key Sessions
Session 1
What Enterprises Really Expect from AI Teams Today
By: Kartikeya Prahlad
Senior Director – Global Inside Sales, Covasant Technologies- Understand the shift from experimentation to accountability
- Learn how AI success is now defined across enterprises
- Explore why explainability, compliance, and alignment are non-negotiable
Session 2
Privacy, Ethics, and Governance in the Age of Agentic AI
By: Sitaram Tadepalli
SVP – Machine Learning Engineering, DBS Bank India- Understand the role of human oversight in complex AI workflows
- Learn how enterprises are embedding governance into AI systems
- Explore regulatory trends and compliance frameworks
Session 3
Prompts, Probabilities & Prejudices : Why AI Still Needs the Human Touch
By: CV Rammohan
Chief Delivery Officer, Covasant Technologies- Understand where generative AI still fails without human context
- Learn how human oversight reduces false positives and blind spots
- Explore how bias creeps into even the most advanced systems
Session 4
Data Foundation for AI – Building Enterprise Identity for Hyper-Personalization
By: Subhash Konduru
Senior Technology Manager, Leading UK-based Multinational Bank- Understand how enterprise identity graphs are applied in AI workflows
- Learn techniques for building consent-aware data pipelines
- Explore integration patterns that ensure privacy and compliance at scale