Ideas for operating complex sales with AI.
Original definitions, comparisons, and operating notes for teams that want more leverage without giving up seller judgment.
What AI should prepare and what it should never execute alone
A practical boundary for sales AI: scale research and preparation while keeping customer-facing and shared-state actions under specific human authority.
Why human approval is a system boundary, not a button
Five tests for meaningful approval in sales AI, including exact scope, reviewed-content integrity, human authority, single execution, and audit evidence.
What institutional memory means in complex sales
A definition of shared account memory that preserves facts, sources, decisions, relationships, corrections, freshness, and privacy across handoffs.
The named-account operating model for sales AI
How sales AI should allocate attention, preserve context, coordinate teams, and measure coverage and progression when the account book is finite.
How to evaluate an AI sales system
Eight connected tests for evaluating sales AI from source context and evidence through approval, provider truth, audit, cost, and failure behavior.
What productive account coverage means
A definition of account coverage that combines honest denominators, buying-role access, freshness, justified work, yield, cost, and reasons to stop.
What is an AI sales harness?
An AI sales harness is the governed layer between AI agents and a sales team's real book of business: shared account context in, prepared work out, every consequential action behind seller approval.
AI SDR vs. sales copilot vs. sales harness
The three ways to put AI on pipeline generation, compared honestly: what each one is, who approves the work, what it does to your messaging, and which sales motion each one actually fits.
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