Kuber Sharma.

Positioned.

Enterprise AI and product marketing strategy. The honest version of how it actually works. Every two weeks, on Substack.

What it is

Positioned is where I write the things I cannot put in a deck. The argument I made in the room that did not land. The framework I built after the third time a launch failed the same way. The pattern I keep seeing across enterprise AI that no one is naming yet.

I have spent twelve years doing this work across Microsoft, Salesforce, Tableau, and now UiPath. Positioned is the accumulated thinking. Not polished keynote content. The working version.

Each issue takes one idea from enterprise AI or product marketing and runs it until something useful comes out. Sometimes that is a framework. Sometimes it is a post-mortem on a launch I worked on. Sometimes it is just a thing I had to unlearn.

On Substack since 2023. Every two weeks, roughly. Free.

Who reads it

Product marketers at enterprise software companies. Founders who are trying to take something technical to market. Go-to-market leaders at AI companies who have figured out the technology and are now trying to figure out the buyer. People who work in enterprise AI and want the practitioner view, not the analyst view.

If you have ever sat in a room where someone said "we just need to tell the story better" and you knew the problem was not the story, this is probably for you.

Recent topics
The Pilot Trap
Why most enterprise AI stalls before production. Not a technology problem. An infrastructure problem. Five failure modes, all predictable, almost all preventable. Read the essay →
Open Standards and the Agentic Enterprise
What Model Context Protocol means for how enterprise AI actually ships. Why the choice of standard matters more than the choice of model. Read the essay →
What RPA Got Right That AI Forgot
The last time enterprise software promised to automate everything, it learned some hard lessons. AI agents are re-learning them. The ones worth keeping. Read the essay →
The Agentic Shift Is Not About AI. It's About Trust
The technical question was answered. The real question whether an enterprise will trust an agent to act on its behalf. Still open. A framework for thinking about it. Read the essay →
AI Agents, Explained for the Enterprise Buyer
The agent vendor pitch has hardened into a template. Buyers have learned the template. A field guide for the second wave of AI agent buying. Read the essay →
Recent issues

The last eight issues of Positioned. Every one is free to read, no paywall.

The Orchestration Problem
Every enterprise has agents. Few have orchestration. Read the issue →
Your Agent Can Decide. Should It?
Capability is not the same as authority. Read the issue →
The ROI Calculation That Lies
Most automation ROI models are missing the number that matters most. Read the issue →
The Legitimacy Gap
The slide I cut from my PMA talk, and the three things every AI buyer needs to believe. Read the issue →
The Deployment Stall: Why Agents Fail in Week Three
The agent is deployed. Now the real positioning work starts. Read the issue →
The Trust Narrative for Deployed Agents
The technology works. The agents are deployed. Adoption is stalling. This is a trust narrative problem. Read the issue →
February Acceleration: Messaging That Moves Deals
Your Q1 forecast is locked. The question is whether your messaging moves deals across the finish line. Read the issue →
Positioning in an AI-Native World
Your buyer assumes you are using AI. The advantage is what you figured out with AI that nobody else has. Read the issue →
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