Writing
Essays, tools, and diagnostics on regulated-industry AI, platform architecture, and what actually scales in production.
AI Governance Consulting: What to Buy and Why
How AI governance consulting maps to NIST frameworks, where it earns its fee, and how to tell operators from slide decks.
Operational Due Diligence: A Practical Guide
Operational due diligence tests whether a fund's back office can survive stress. Here's what allocators actually examine before committing capital.
AI-Focused VC Funds: Where the Capital Went
AI firms captured 61% of global venture capital in 2025. A look at the concentration, mega deals, and what it means for fund strategy.
Acquisition Integration: What Drives Deal Value
A guide to acquisition integration: why speed, synergy capture, and leadership involvement decide whether an M&A deal creates or destroys value.
Post Acquisition Integration: A Field Guide
Post acquisition integration decides whether a deal creates value. Here's how to plan the first 100 days, retain people, and align systems.
Commercial Due Diligence: A Buyer's Field Guide
How commercial due diligence tests an investment thesis by examining market size, competitive position, and the durability of a target's revenue.
Agentic AI Systems: How They Work and Where They Fail
A practical look at agentic AI systems—what separates them from chatbots, how they plan and act, and the failure modes that constrain real deployments.
Building Agentic AI Systems: A Practical Guide
How to design, orchestrate, and ship agentic AI systems that plan, act, and recover — with concrete patterns for tools, memory, and control.
Private Equity CEO Predicts AI Will Reshape Deals
A private equity CEO predicts AI will change how firms source deals, run portfolios, and price risk. Here's what that shift actually looks like.
AI Workflows: Where Adoption Meets Real ROI
Most organizations use AI somewhere, but few have scaled it. The gap is in workflow design, not model access. Here's what separates the two.
Startup Due Diligence: A Practical Framework
How investors run startup due diligence across team, market, product, financials, and legal—and what separates a clean deal from a costly mistake.
Choosing a Due Diligence Solution That Holds Up
A practical guide to selecting a due diligence solution: what to evaluate, where tools fall short, and how to match the platform to your deal flow.
Will Private Equity Be Replaced by AI?
AI is reshaping how private equity sources, diligences, and operates deals—but replacement is the wrong frame. Here is what actually changes.
The VC Due Diligence Process, Explained
A practical walkthrough of how venture firms run due diligence: stages, what they verify, and how founders can prepare for each step.
AI for Venture Capital: A Practical Guide
How venture firms use AI across sourcing, diligence, and portfolio support—where it works, where it fails, and what to build versus buy.
AI Strategy and Implementation That Works
Most companies don't have an AI problem—they have an execution problem. How to tie AI to one outcome, one owner, and one process that can change.
How to Implement AI in Business Without Wasting a Quarter
AI failures are usually execution failures. A disciplined path from one narrow workflow to measurable operating return, tied to margin and risk.
Your beta users are lying to you. Your synthetic ones won't.
Real user research excludes the people most likely to tell you what's broken. Synthetic focus groups and eval personas close the gap in 30 minutes.
JD-to-Reality Calibration Guide
Three questions to ask a corporate client before committing to an AI-leadership search.
The 30-Day Shippable AI Scorecard
A 10-minute worksheet to identify the one workflow in your business that fits the 30-day shippable AI profile.
Harness Engineering
Why production AI is 90% harness and 10% model. And what most pilots miss.
The Ownership Dyad
Why AI programs at PE portfolio companies stall at the same organizational seam, and what to do about it.
The next chapter org psychology was always going to write
Multi-agent systems aren't disrupting organizational psychology. They're the latest in a century-long line of coordination technologies reshaping it.
An Agentic-Product Research Teardown
What synthetic user research revealed that real-user research couldn't, and what the product team should have done differently.
Governance-as-Design
Eval, audit, and rollback as design inputs for clinical-adjacent AI. Not review-stage checkboxes.
5 AI Wins Under $10K for Owner-Operated Businesses
What 30-day shippable AI actually looks like in practice. Five examples from businesses like yours.
Spec vs. Prompt: A Founder's Diagnostic
Five questions to know whether you have a specification problem or a prompt engineering problem.
Internal First, Portfolio Second
The sequencing mistake most PE firms make with AI programs. And the 90-day internal win that changes the calculus.
Is This Workflow AI-Ready? 3 Questions
A two-minute self-check before you fill out the full Scorecard.
AI Governance for Law Firms: What Policy Can't Catch
Where AI incidents in legal actually come from, and what infrastructure (not policy) prevents them.
A 30-Day Engagement: Federal Compliance Workflow Automation
A sanitized case writeup of a single-operator AI engagement that shipped three deliverables in one week.
The IC Trap
Why assigning AI transformation to your best junior engineer is a rational decision that almost always fails.
The Healthcare AI Bypass Pattern
How the AI programs that actually ship in healthcare avoid the 18-month enterprise blocker cycle. And when the bypass doesn't work.
Specs, not prompts: from harness engineering to hive mind
Spec-driven AI orchestration, not prompt engineering, is the architecture that compounds at portfolio scale: the Terraform-style shift for multi-agent AI.