Reference
Glossary
The terms this publication defines and uses on the record. Each entry links to the page where the term is evidenced, so you can check the definition against the work.
For the wider vocabulary, model mechanics, agent architecture, retrieval, evaluation, pricing, and GTM metrics, see The AI and Revenue Dictionary.
Frameworks
- The Proof Gap
- The Proof Gap is money spent on AI with nothing attributable behind it. Tools were bought, pilots ran, time savings were reported upward, and revenue still cannot be tied to any of it. The Revenue AI Report exists to close it.
- Research: The Proof Gap has a measured size →
- Optimization Theater
- Optimization Theater is a year of pilots, dashboards, and reported time savings presented upward as transformation. Activity is measured, adoption is celebrated, and no revenue outcome changes. It is the visible behavior that produces the Proof Gap.
- Read the editorial thesis (5 min) →
- The Reversal Ledger
- The Reversal Ledger is a running count of AI decisions a human had to undo: agent outputs corrected, stages rolled back, sends pulled. Tracked over time, the reversal rate shows whether agents are earning trust or borrowing it.
- The Reversal Ledger: counting the AI decisions your team had to undo →
- The OAR Matrix
- The OAR Matrix maps AI work across ownership, adoption, and results, so a team can see where spend stops converting into value. It explains why isolated wins never scale into a revenue number.
- The OAR Matrix and the AI value gap →
- The Eight Seats
- The Eight Seats are the functions every issue is cut for: sales, marketing, RevOps and GTM engineering, enablement, customer success, partnerships and BD, exec and founders, revenue finance. One case, eight reads, a decision for each.
- The Eight Seats framework page →
- Kill Criteria
- Kill criteria are the fail conditions written into an AI contract before signature: the metric, the floor, the date it is measured, and the consequence for a miss. Without them a failed pilot becomes a two-quarter argument.
- AI SDR kill criteria before you sign →
- Pipeline Truth Test
- A pipeline truth test checks whether CRM data can support an AI agent before you buy one: field completeness, stage honesty, contact freshness, activity capture, and outcome labeling. Agents inherit the pipeline they are pointed at.
- The pipeline truth test for AI →
- The Reinvestment Gap
- The Reinvestment Gap is the distance between hours AI gives back and revenue those hours produce. Time is saved, nothing is redeployed to a named higher-value activity, and the saving evaporates before it reaches the number.
- The AI reinvestment gap →
- Shadow AI Stack
- The shadow AI stack is the set of AI tools reps already use outside the sanctioned roadmap: personal accounts, pasted call notes, buyer data in consumer tools. It is running your go-to-market whether or not it is governed.
- The Single-Player AI Problem
- The single-player AI problem is a real AI win that stays with one operator. The workflow was never written down, owned, or wired into the system of record, so the gain never becomes a team result.
- The single-player AI problem →
Editorial pillars
- Reality Check
- Reality Check is the pillar built on a named operator: real numbers, the screenshots, and what actually shipped this quarter. No composites, no anonymized aggregates standing in for a case.
- Reality Check issues →
- The Teardown
- The Teardown is the pillar that opens the plumbing: stack diagrams, data models, and agentic workflows behind a working revenue system, drawn well enough to rebuild from.
- Teardown issues →
- Benchmark
- Benchmark is the pillar that measures, by function, what revenue teams actually got from AI. Each figure carries its publisher, sample size, and field date, with vendor research labeled as vendor research.
- The research library →
- Post-Mortem
- Post-Mortem is the pillar covering what got shut off, why, and what it cost. Every entry feeds the Reversal Ledger, because knowing what to stop is worth more than one more thing to start.
- Research: named reversals, with dates and dollar amounts →
- Operator Playbook
- The Operator Playbook is the pillar that hands over the how-to: workflows, prompts, thresholds, and kill criteria, written to be stolen, adapted, and shipped inside a quarter.
- Playbook issues →
Measures
- Hybrid 1.9x
- Hybrid 1.9x refers to Bridge Group data showing hybrid human-plus-AI outbound teams producing 1.9x qualified meetings per dollar, and 2.4x versus human-only. It is an efficiency result, not a volume result.
- Where the 1.9x figure is used →
- Rollback Rate
- The rollback rate is the share of organizations that have pulled a deployed AI agent back out of production over a governance failure. Published survey data puts it at 74 percent of enterprises.
- Research: rollback is a measured pattern →