Go-to-market engineering · Forward deployed · Retail & CPG domain
Most go-to-market strategies fail not from lack of effort. From lack of system.
I'm a go-to-market scientist working forward-deployed — embedded in your stack, building production AI systems inside your environment. Agentic outbound, context-engineered LLM pipelines, AI-native RevOps, governance baked in. Over $100M in measurable client impact — shipped, not slide-decked.
Three lenses
I work at the intersection. The product is the combination.
Go-to-market systems
Unified revenue engines beat fragmented tactics, every time.
$100M+ in measurable client impact across enterprise engagements.
Forward deployed AI engineering
Production LLM deployment, context engineering, agent orchestration — I ship the systems, not just the strategy.
45+ production AI agents running GTMify operations autonomously today.
Retail & CPG domain
25 years across retail, CPG, and manufacturing transformation.
RETHINK Retail Top Expert '25 & '26. Top AI in Retail Leader '26.
Latest takes
POV
The retail board memo every CIO should write this quarter
Capital markets reward AI announcements, but the P&L lags. Here is the CODN-framed board memo retail CIOs should write before the 2026 budget locks.
Demand forecasting has a signal problem, not a model problem
Retailers keep buying smarter forecasting models to compensate for dirty inputs. The bottleneck is signal quality, not algorithms.
AI governance is a logging problem before it's a policy problem
Enterprises write AI policy before they can observe what their agents do. You cannot govern what you do not log. Instrumentation comes first.
About
I run the stack I write about.
AVP & Principal at Genpact Retail Applied Advisory. Co-Founder of GTMify.io. Two jobs at the same intersection — GTM systems, AI and agentic strategy, retail and CPG domain depth — from both the advisor seat and the operator seat.
The methodology under most of my engagements is CODN — the Cost of Doing Nothing framework — for putting a defensible number on inertia.
Long-form
Articles
Custom MCP servers are 2026's fractional engineer multiplier
A senior engineer with Claude Code and a half-dozen custom MCP servers is doing the work of three engineers in a 2024 stack. The MCP server is the multiplier — and most teams are under-investing.
ICP isn't a doc, it's a system
ICP documents go stale within a quarter. ICP systems learn from outcomes and refine continuously. Most B2B GTM teams have the doc. The leaders have the system. Here's the architecture.
AI governance is not a slide deck
What real AI governance looks like in operations — auth scoping, audit trails, escalation paths, deprecation rhythms — versus the slideware most enterprises still call a strategy.
Newsletter
One POV in your inbox when it hits
No schedule, no filler. You'll hear from me when there's a take worth your attention.