Most agent projects don't fail on the model. They fail because the business was designed around seats while the software sells autonomous work. Seven questions to fix that, from architecture to pricing to who carries the risk, each with a framework you can use.
Start with Part 1 →
1 · ArchitectureRead Part 1 →Why do agentic AI projects stall, and how do you design the business and the technology as one system?Framework: 7-layer blueprint: Thinks, Acts, Scales
2 · Go-to-marketRead Part 2 →Does your go-to-market fit software that sells autonomous work instead of seats?Framework: Three-domain GTM architecture, 5 leading indicators
3 · PricingRead Part 3 →What do you charge when the agent does the work, and why can sound math still lose your biggest customers?Framework: Five-tier pricing progression, the Impossible Triangle
4 · PricingRead Part 4 →What should an agent vendor charge for, and how do you prove the charge is earned?Framework: COMPASS: scope of work vs. attribution
5 · PricingRead Part 5 →Why can a mathematically right price still backfire with the buyers who matter most?Framework: Attribution test for outcome pricing
6 · AccountabilityRead Part 6 →When an agent makes a decision, who else is affected, and who is accountable?Framework: Replace, Assist, Compress impact spectrum
7 · RiskRead Part 7 →Who absorbs the risk when an agent gets it wrong?Framework: ADKAR for agent rollouts
Why these seven questions, now
53%
of GTM teams using AI tools report no meaningful impact or only limited gains
$2.5M
settlement over an AI underwriting model that penalized Black and Hispanic applicants
112%→146%
net revenue retention Intercom reported after moving Fin to per-resolution pricing
Sources are cited in full in each part.
For SaaS founders, product, pricing and GTM leaders, and investors in agentic software. Read in order: architecture, go-to-market, three parts on pricing, then two on who carries the risk.
All parts as a list · Part of Agentic Work, Measured
