25+ years. One philosophy.
I’ve spent my career across global enterprise stacks, distributed systems, and platform engineering. Today I build with AI every day — testing, breaking, and rebuilding the kinds of systems most people are still writing about.
By day, I work in cloud and infrastructure services for financial institutions. This site is where I share my own systems, experiments, and point of view.
Anil Gunjal is an AI builder and strategist with 25+ years in enterprise technology. He builds working AI systems — agent workflows, LLM orchestration, and decision-support tools — and writes about what actually holds up once these systems leave the demo.
Get in touch →A career that backed into agentic AI by building everything underneath it first.
Topics I’ll talk about on a stage.
Available for keynotes, panels, and private executive sessions. I don’t do generic AI talks — every topic below is grounded in something I’m currently building.
Building agentic systems for the enterprise
What survives a security review, an audit, and the eventual incident retrospective. Capability isn’t the gap — fit is.
MCP & the new wiring of AI
Why MCP is doing for agents what USB did for hardware, and what it means for managed services and integration vendors.
Multi-agent intelligence at scale
Lessons from running multi-agent intelligence pipelines that watch entire industries continuously and turn signal into brief.
Building with AI as a daily practice
How a 25-year enterprise career meets Claude Code. Less “AI strategy,” more “ship one ugly thing this week.”