🤖Agentic AI
Agents Are Killing Apps, but Your Data Still Wins
DoorDash now takes your order without its app. Not a surrender: in the agent era, the screen is disposable, but whoever remembers "the usual" wins.
·7 min read
I design and build agentic AI systems for large enterprises: software that runs on real data, makes real decisions, and holds up in production.
I work on Accenture's Advanced Technology Center team, embedded directly with client teams to turn ambiguous AI initiatives into working agentic systems across insurance, retail, financial services, and healthcare. I stay agnostic on framework and cloud provider, choosing the "best of need" over the "best of breed": whatever fits what the client already runs, built well.
Agentic system architecture and enterprise AI application across industries
Recent writing on agentic architecture, enterprise AI, and production systems
My work centers on the gap between a promising model and a system a business can actually run: the context it draws on, the boundaries around what it's trusted to decide, the abstraction that keeps a solution portable across cloud providers, and the instrumentation that catches trouble before it reaches a customer.
As part of Accenture's Advanced Technology Center, I embed directly with client teams across insurance, retail, financial services, and healthcare to take an AI initiative from an open question to a system running in production. I try to stay agnostic about the tools: the best framework or hyperscaler is usually whatever the client already has in place.
This site is where I write about what I'm learning: the emerging trends, patterns, and ideas I see shaping enterprise AI, in my own words, independent of any client work.
Want to compare notes on agentic systems or explore a project together? Connect with me on LinkedIn.