RxFlow
Turns a scattered prescription into a clear daily plan — every treatment scheduled, tracked quietly, with reminders wherever you already are.
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Designing agentic systems and intelligent architectures for real-world outcomes


The licence is easy to price. The retries, rework, employee attention and eventual switching cost are not. That difference may be where the real economics of enterprise AI begin.

I usually do not switch AI tools because I discovered a better architectural fit. I switch because something started hurting. What changes when the selection begins with the requirement instead of the product already sitting in front of us?

Enterprise AI governance is thorough, well-documented, and pointed at the wrong target. It was built to govern records of decisions. It was not built for the layer where decisions are now being formed.

The barrier to building agents is genuinely low now. Anyone can spin one up. The question nobody is asking at speed is who owns it when it breaks. Three structural gaps literacy, platform, and accountability are accumulating silently across enterprise agent deployments. They do not fail dramatically. They just stay broken.

The enterprise business case was built on one assumption: costs are knowable before commitment. Agentic AI breaks that assumption structurally, not incidentally. Most organisations have not yet noticed what that means for every AI decision they are about to make.

The agent skipped the steps it was given. The output arrived faster. It was wrong. And the total compute cost of recovering from that shortcut was higher than following the instructions would have been. This is not a prompt engineering problem.
I’m Vaibhav Bhardwaj, a Consultant at KPMG focused on enterprise transformation and emerging technologies. I help organizations navigate complex technology decisions, structure large-scale initiatives, and operationalize innovation in practical, measurable ways. My work combines strategic thinking with on-the-ground execution across regulated and enterprise environments.
Designing AI-enabled workflows, agent-driven architectures, and scalable intelligent systems for enterprise environments.
Structuring enterprise-wide transformation initiatives across technology, governance, and business functions.
Aligning technology investments with long-term strategic goals through roadmap design and architecture planning.
Designing governance frameworks and leading cross-functional initiatives to translate strategy into disciplined, scalable execution.
Tools I’m building in the open. Every one ships with its own build log.
Turns a scattered prescription into a clear daily plan — every treatment scheduled, tracked quietly, with reminders wherever you already are.
Website · SHIPPED
Find the right AI or automation tool for a use case through structured, deterministic capability matching rather than vendor-first guesswork.
Website · SHIPPED
A structured way to pressure-test whether an idea has enough evidence to justify a real build, a customer conversation, or a sharper business case.
Tool · SHIPPED
AI & IT Strategy Consultant
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Delhi/Bengaluru, India