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 CODN of a slow sales cycle
Everyone models revenue from the win. Almost nobody models the compounding cost of ninety extra days to get there. That is where mid-market GTM value leaks.
The model is not your bottleneck, your context is
Teams keep upgrading models to fix broken agents. The real constraint is what the model can see. Here is where the leverage actually sits.
Agent governance is an access-control problem wearing an ethics costume
Most enterprise agent governance produces principles decks. The real risk surface is what an agent can read, write, and spend. Three questions expose whether your program is real.
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.