Ideas that connect.
Perspectives on AI strategy, connected intelligence, and what it takes to make technology work inside real organizations.
The Riskiest AI Strategy Is the One That Looks Safe
The “go slow and do it right” playbook isn’t cautious. It’s how companies lose this decade. The people arguing for it aren’t being careful. They’re being expensive.
The Inspectability Premium: Why Your AI Delivery Partner Should Show Their Work
Most enterprise AI is shipped as a black box. The client owns the outcome, the vendor owns the machine, and every change is a meeting. That trade is bad — and in AI services it is worse than usual.
Businesses Know They Need AI. Almost Nobody Knows Where to Start.
Most organizations know they need AI. The ones pulling ahead did not wait for the perfect moment, the clean data, or the full roadmap. They started with something small, specific, and measurable -- and let it compound.
What I’d Do in the First 100 Days as a PE-Backed CMO - And Why AI Is Day One, Not Year Two
Most PE-backed CMOs wait until the org is “ready” for AI. That is a costly mistake. A practical, opinionated take on the portfolio company CMO playbook for 2026 - where AI workflow automation fits, what it replaces, and how to make the case internally.
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Those Who Leave Your Organization Take Relationship Context Out the Door with Them
When someone leaves your organization, they take the context behind every client relationship. The unwritten rules. The institutional memory. None of it lives in Salesforce — and most companies have no system for making it permanent.
Your Employees Already Have an AI Strategy. You Just Don’t Know About It.
90% of workers use personal AI tools daily. Only 40% of companies have an official LLM subscription. That gap is not an anomaly — it is the most honest audit of your AI investments you will ever get.
Your Tech Stack Is Working. But Your Organization Is Not Listening.
Gong. 6sense. HubSpot. All working exactly as sold. But when a sales rep hears something significant on Monday, the odds are nobody else knows about it by Friday. This is not a technology failure.
We’ve Watched Companies Spend Millions Trying to Understand Their Customers. Here’s What Actually Works.
Most enterprises have the data. They do not have the understanding. After watching organizations spend tens of millions trying to connect every customer touchpoint, we built something different.
Decision Poverty: The Hidden Cost of Too Many Dashboards and Not Enough Answers
More dashboards do not produce better decisions — they produce more meetings to discuss the dashboards. Here is the antidote.
The End of Fragmented Intelligence: Why B2B Marketing Needs an Orchestration Layer
Most B2B marketing teams are running 12+ tools that never talk to each other. The result is not a stack; it is a tax. Here is the case for a single decision layer that compounds over time.
From SaaS to SaS: The AI Supercycle Will Reshape B2B Marketing
Software budgets are merging with payroll budgets. The shift from SaaS to Service as Software means AI no longer helps employees do work — it performs the work itself.
Why Your AI Pilot Failed (And What to Do Differently the Second Time)
80% of enterprise AI pilots never reach production. The failure is almost never technical — it is organizational. Here is what post-mortems consistently show.
The Private Equity Intelligence Gap: Your Portfolio Data Knows More Than You Do
Every PE firm runs on information. The problem is not that the information does not exist — it is that almost none of it is connected. The firm that solves this first will have a structural edge that compounds with every deal.
The Compounding Advantage: How Connected AI Systems Outperform Point Solutions Over Time
A single AI tool automates a task. A connected AI layer automates decisions. The gap between those two outcomes is not linear — it compounds.
From 12 Tools to One Decision Layer: A B2B Marketing Leader’s Migration Playbook
Most B2B marketing stacks grew by accretion — one tool at a time, one problem at a time. Here is how to migrate from fragmented to connected without breaking what works.