Sanjeev Azad

I help organisations move from AI experimentation to production-scale impact.

I lead enterprise AI strategy and innovation for a global engineering organisation, working with teams and clients across APAC and beyond. Most of what I do sits at the point where an interesting AI capability has to become something a regulated business can actually run, and keep running.

The path here

I started in software engineering and moved fairly quickly toward architecture, and the decisions that are expensive to reverse. That took me through financial services, working on compliance systems and large-scale application rationalisation, and then into consulting, where I spent several years as a technology architect on modernisation programmes for banking, capital markets, and automotive clients across the UK, Europe, and the US.

For the past several years I've been at GlobalLogic, a Hitachi Group company: first heading the architecture practice in APAC, then as CTO for the region, and now leading global innovation alongside it.

The through-line has been the same at every step: build the capability, not just the deliverable. Architect development programmes, review practices, platforms, operating models. The things that outlast the engagement that paid for them.

What I work on

Enterprise AI transformation: getting organisations from pilots to production with governance and responsible-AI practice built in rather than bolted on afterwards. In practice that means AI operating models, AI-native engineering, agentic frameworks, and the innovation hubs that give teams somewhere to actually do the work.

I also spend time with regulators, industry bodies, and client executives on AI governance and adoption, which is where the genuinely hard questions tend to surface first.

What I build

Alongside the day job, I build and publish. The Value Cube and C2Valis came out of watching organisations measure the cost of AI precisely and its value not at all. The SAE Frameworkargues that once the cost of code collapses, the bottleneck becomes human clarity. Data Darśana,Bodhi, and Kuber Map are open maps of territory I kept having to explain from scratch.

Most of it is MIT-licensed and free to use. It comes from the same instinct every time: build the thing you wish had existed when you needed it.