Build an Ideal Customer Profile
A one-page profile of the accounts most likely to buy, expand, and stay, built from your own win data.
For: Marketing, Sales Leader, Revenue Operations and more
The Report is a weekly in-depth revenue intelligence brief. Real revenue movement from named companies, not activity theater. Read by 37,994+ revenue leaders & operators.
Independent research and analysis measuring what revenue teams gained from AI, by function, including what they stopped, changed, or rolled back.
Not a newsroom. Not a vendor blog. Not thought leadership. Receipts, benchmarks, and post-mortems for people who own a number.
The editor has presented at
Previously GTM at Momentum, acquired by Salesforce. Marketing at 1mind. Founder of the GTM AI Academy, 10,000+ students.
Ask AI Report
Every issue, research theme, framework, dataset, reversal, skill, and prompt on this site is searchable here. Answers are drawn only from published material, with the pages listed so you can check the source, the sample size, and the date yourself.
Start from a common one
The readership
5,000+
C-suite executives
4,000+
CROs
84
Fortune 500 companies
How these are counted: figures are taken from the subscriber record and the audience list the editor has built across The Revenue AI Report and its predecessor publications, counted by self-reported title and employer at signup. Titles are grouped, not audited. The live reader count is the subscriber total on the same record.
Resources
Two free libraries. Skills package a repeatable process into a downloadable file. The Prompt Library holds 236 copy-ready prompts you can search by team and paste straight into your AI assistant.
A one-page profile of the accounts most likely to buy, expand, and stay, built from your own win data.
For: Marketing, Sales Leader, Revenue Operations and more
A one-page account brief with the business context, likely priorities, and a point of view worth a reply.
For: Sales Representative, SDR and BDR, Sales Leader and more
A structured read on one open deal: what is proven, what is assumed, and the next action that moves it.
For: Sales Leader, Sales Representative, Revenue Operations
A defensible read on what one AI tool actually returned, separating time saved from money made.
Uses the Proof Gap method
For: Executive and Founder, Revenue Finance, Revenue Operations and more
A buying evaluation of an AI SDR tool: the real cost per meeting, the risks vendors do not mention, and the questions to ask before signing.
Uses the AI SDR kill criteria
For: Sales Leader, Revenue Operations, Executive and Founder and more
A blunt assessment of whether your CRM data can support the AI tool you are about to connect to it.
For: Revenue Operations, GTM Engineering, Sales Leader
The sample issue
Every issue looks like this. Named operator, real numbers, a decision for every seat.
Issue 08 · Post-Mortem
78%
of the most-funded AI SDR's early ARR gone past the 90-day break clause
Aug 17, 2026 · 14 min read · By Jonathan Kvarfordt
Read the full issue →Issue 03 · Reality Check
55%
of companies regret their AI-driven layoffs, per Forrester
Jul 13, 2026 · 11 min read · By Jonathan Kvarfordt
Read the full issue →Issue 02 · Benchmark
71%
of companies spending over $1M a year on generative AI have yet to see a return
Jul 6, 2026 · 10 min read · By Jonathan Kvarfordt
Read the full issue →The Proof Gap
The distance between what gets claimed on stage and what the CFO will book.
Reversal Ledger
The public record of AI deployments companies undid, with names.
Eight-Seat Read
One decision per seat, from sales to revenue finance, every issue.
AI SDR benchmarks
Reply rates, meetings booked, and cost per SQL against human baselines.
Pipeline truth tests
How to check whether AI-sourced pipeline survives contact with the forecast.
Post-mortems
What broke, who owned it, and what the rebuild cost.
Stack teardowns
The tools, the wiring, and the line between buy and build.
Operator playbooks
Steps you can run this quarter, drawn from named deployments.
The problem we own
You spent money on AI and you cannot show what it changed. Not because the technology failed, but because nobody was given the time, the tools, or the permission to actually change anything. So nothing changed.
What it looks like on the way there is Optimization Theater: a year of pilots, dashboards, and time savings, reported upward as transformation.
Most AI coverage sells the promise. This one publishes the receipts.
The bet we are asking you to make
The safest thing you can do right now looks like waiting. It is not.
The position
The only publication that measures what revenue teams actually got from AI by function, and prints what they turned off, with names.

Behind the Report
Jonathan Kvarfordt
Founder & Principal Analyst
The Revenue AI Report
AI and GTM expert with 15+ years in revenue excellence and GTM strategy. Previously a marketing leader at 1mind, and led GTM strategy and marketing at Momentum (recently acquired by Salesforce). Has consulted hundreds of companies and CRO/CMO leaders on GTM AI strategy over the last four years and spoken at HumanX, Forrester, Domo, and AI4.
Founder of the GTM AI Academy and the GTM AI Podcast (sister publications), with 10,000+ leaders and operators as students. Has spent the last four years writing for revenue leaders on what is actually working at the intersection of AI and go-to-market, and now leads The Revenue AI Report. The editor has personal and professional relationships with dozens of companies, startups, and enterprises such as Momentum, Salesforce, 1mind, Spiky.ai, Luster.ai, GTMBuddy.ai, Recapped.io, Bryant University and more in the GTM AI Market. The analysis is independent and objective. No company receives favorable treatment, no company is covered without third-party evidence, and no company sees issues before they ship.
The publication exists for one reason: companies spent money on AI and cannot show what it changed. Not because the technology failed, but because nobody was given the time, the tools, or the permission to change anything. The Revenue AI Report closes that gap with real cases, real numbers, and the failures nobody else prints.
The latest
Research · Reality Check
Why Anthropic's extreme scenario assumes away the actual job.
Anthropic's new economic scenarios report has a headline: cognitive-worker unemployment at 17.9% and a labor share falling from 60% to 45.2%. It only arrives at those numbers by turning off the mechanisms that have absorbed every prior wave of automation. Eight documented reversals in the last five years say the real economy will not sit at those parameter values for long.
Read the research→Where to read
The Report publishes in three places. Start wherever your question is.
The evidence
74%
of enterprises have rolled back or shut down a deployed AI customer communications agent. 98% are increasing AI investment anyway.
Sinch, AI Production Paradox. n = 2,527 senior decision makers, 10 countries, fielded January to February 2026.
https://sinch.com/ai-production-paradox/42%
of businesses scrapped most of their AI initiatives in 2025, up from 17% the year before. Abandonment is accelerating.
S&P Global Market Intelligence, 451 Research Voice of the Enterprise: AI & Machine Learning. n = 1,006, margin of error plus or minus 3 points, reported 2025.
https://www.spglobal.com/market-intelligence/en/news-insights/research/ai-experiences-rapid-adoption-but-with-mixed-outcomes-highlights-from-vote-ai-machine-learning30%
of generative AI projects are predicted to be abandoned after proof of concept, on poor data quality, weak risk controls, or unclear business value.
Gartner press release, July 29, 2024. Sample size not published by the source.
https://www.gartner.com/en/newsroom/press-releases/2024-07-29-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025Why join
Four things every issue is built to give you.
Walk into the review with a number you can defend, sourced from a named team, not a vendor deck or a time-savings estimate.
Sales, marketing, RevOps, enablement, CS, partnerships, exec, revenue finance. Every read gets cut by seat, because your seat is not the average.
What teams turned off, why, and what it cost. Knowing what to stop is worth more than one more thing to start.
Every issue ends with a specific decision for each seat. Something you can run this quarter, not something to think about.
What we publish
Predictability of quality is the brand. You know the shape of every issue before you open it.
Reality Check
A named operator, real numbers, the screenshots, and what actually shipped this quarter.
The Teardown
Stack diagrams, data models, agentic workflows. The plumbing under modern revenue.
Benchmark
Function-level measurement of what revenue teams got from AI. New cuts each issue.
Post-Mortem
What got shut off, why, and what it cost. The Reversal Ledger grows every issue.
Operator Playbook
The actual how-to. Workflows, prompts, kill criteria. Steal, adapt, ship.
The eight seats
Written for people who own a number, director level and above, in any revenue or go-to-market function at a company whose leadership already spent money on AI.
Read the Eight Seats framework (4 min) →Sales
Know what the AI SDR actually did before you sign the contract.
Marketing
See how attribution and demand hold up against an agentic buyer.
RevOps & GTM Engineering
Get the stack diagrams, data models, and workflow blueprints.
Enablement
Ramp data, coaching benchmarks, and the new rep skill stack.
Customer Success
NRR impact, churn-signal automation, the AI handoff for expansion.
Partnerships & BD
Where ecosystem motions are getting real lift, and where they are not.
Exec & Founders
A position on AI you can defend to a board without hedging.
Revenue Finance
What the spend bought, in numbers that survive scrutiny.
Get the Report
For sponsors
One sponsor per issue. No sponsor sees an issue before it goes out, picks a case, or buys a paragraph. If that is the standard you want to be held to, let's talk.
About The Revenue AI Report
An independent weekly measurement of what B2B revenue teams got from AI, by function, with the sources named. Four frameworks anchor the coverage: the Proof Gap, the Reversal Ledger, the Eight-Seat Read, and Optimization Theater.
Salesforce documents AELA as a fixed-price, fixed-term agreement with unlimited access to covered Salesforce consumption services and no usage-based billing under that model. Scope is agreement-specific; no list price is published. Flex Credits, Conversations, Foundations, and seat add-ons remain public buying paths. AELA wins when broad adoption is certain and the flat fee beats the high consumption case. Metered spend wins when you are still in pilot, single-team, or seasonal burn. Full decoder at https://www.therevenueaireport.com/blog/agentforce-aela-vs-flex-credits
Salesforce announced Core, Advanced, and Max on September 3, 2026 for Agentforce Sales and Service, with Industries pricing to follow. Published U.S. list prices are Core $195 per user per month, Advanced $395, and Max $550, with included Flex Credits of 500,000, 1 million, and 2.75 million. CIO maps Core to the old Enterprise, Advanced to Unlimited, and Max to Agentforce 1, and Subscription Insider reports the pools are per organization per year and do not increase with every seat. Existing legacy pricing is unchanged and Agentforce 1 customers can move to Max at no additional seat cost. Full decoder at https://www.therevenueaireport.com/blog/salesforce-core-advanced-max-editions-flex-credits
Salesforce documents both models for Coworker in the same org. Seat-based pricing through Agentforce 1 Edition or Agentforce for Sales, Service, and Industries licenses makes CRM and optional Slack search unmetered for authenticated users on eligible licenses. Usage-based pricing bills through Flex Credits, Einstein Requests, or Data Services Credits. The trap: if the admin does not assign the user-based AI permission to each seat user, that user burns credits instead of using seat access. Guest and portal users stay on usage regardless. Data 360 sources add their own processing and query meters on top. Full decoder at https://www.therevenueaireport.com/blog/agentforce-coworker-seats-vs-flex-credits
Salesforce meters Agentforce Voice two ways. Voice Actions cost 30 Flex Credits in production (24 in sandbox). Voice Minutes cost 60 Flex Credits per production minute (48 in sandbox). They are mutually exclusive on the Order Form: if you purchase Voice Minutes, Voice Actions do not apply. Telephony is a separate line. Full decoder at https://www.therevenueaireport.com/blog/agentforce-voice-actions-vs-voice-minutes
Koa is Salesforce's first CRM reasoning model for Agentforce, announced Sep 15, 2026. Salesforce post-trained NVIDIA's Nemotron 3 Super with a proprietary synthetic dataset, says no customer data was used to train it, controls the weights, and runs post-training and inference inside its trust boundary. It is not GA: the press release says Koa is available to select pilot customers now in Agentforce, with general availability expected winter 2026 in U.S. regions. Treat Koa as a model-provider choice inside Agentforce, not a new interface layer like AIforce and not a Flex Credits usage type. Full decoder at https://www.therevenueaireport.com/blog/salesforce-koa-agentforce-pilot-vs-ga
AIforce is Salesforce's live interface layer, announced Sep 15, 2026, that brings Salesforce data, workflows, logic, permissions, and governance to any AI interface. Agentforce is the digital workforce layer; Claudeforce, Slackforce, and Agentforce Coworker are the first AIforce surfaces. Salesforce's Sep 16 Koa announcement adds an enterprise reasoning model for Agentforce processes, currently in limited customer pilots, without changing that map. Claudeforce is available to all customers in beta, not GA, and pricing and packaging are subject to change. Full decoder at https://www.therevenueaireport.com/blog/aiforce-vs-agentforce-claudeforce-slackforce
Digital Wallet is still the source of truth. Salesforce's August 18, 2026 post says the AiAgentGenerativeAiUsage DMO provides token counts, not Flex Credits directly, and that token-to-credit conversion is a close approximation for trend analysis, while Digital Wallet is the single source of truth for exact Flex Credit consumption, billing verification, and contractual overage calculations. Standard actions bill flat at 20 Flex Credits regardless of token count. Full decoder at https://www.therevenueaireport.com/blog/agentforce-usage-data-model-vs-digital-wallet
Salesforce sells Flex Credits three ways: PayGo (no upfront commitment, pay for what you use, billed monthly in arrears), Pre-Commit (baseline usage commitment, no upfront payment, true-up at term end), and Pre-Purchase (upfront payment for a set amount that draws down over the term). Unused Flex Credits do not roll over into subsequent subscription terms. Full worksheet at https://www.therevenueaireport.com/blog/agentforce-flex-credits-paygo-vs-precommit-vs-prepurchase
Help Agent bills on resolutions. The Flex Credits Rate Card updated 08.31.2026 lists Help Agent Resolutions at 400 credits in production and 0 in sandbox, and Salesforce's pricing page lists $2. A session bills only with at least two turns, no explicitly negative final feedback, and either no human escalation or explicitly positive feedback. Escalation or walk-away is free. Full decoder at https://www.therevenueaireport.com/blog/agentforce-help-agent-resolution-400-credits
Salesforce’s Foundations FAQ grants 200K Agentforce Flex credits as a one-time pilot grant with overage fees after, not a monthly refresh. At the published rate card that is about 10,000 standard production actions, so run the outgrow test before treating Foundations as production budget. Full decoder at https://www.therevenueaireport.com/blog/agentforce-foundations-flex-credits-outgrow
Yes, one shared pool. Salesforce’s Flexible Buying Models FAQ states Flex Credits can be spent across Agentforce and Data 360 with no upfront allocation required, and the Flex Credits Rate Card updated 08.31.2026 meters both against the same credits. Salesforce’s own Agentforce pricing examples exclude Data 360 credits. Full decoder at https://www.therevenueaireport.com/blog/agentforce-flex-credits-shared-with-data-360
Sandbox is not free. Salesforce’s Flex Credits Rate Card updated 08.31.2026 applies a sandbox multiplier to pre-production environments including scratch orgs. Standard and custom actions bill 20 credits in production and 16 in sandbox. Voice actions bill 30 and 24. Full decoder at https://www.therevenueaireport.com/blog/agentforce-sandbox-flex-credits-rate
At Salesforce published list prices, a standard action costs $0.10 and a conversation costs a flat $2, so the break-even is 20 standard actions per conversation. Below 20, Flex Credits win at list. Above 20, Conversations win at list, and the org cannot mix the two models. Full worksheet at https://www.therevenueaireport.com/blog/agentforce-flex-credits-vs-conversation-breakeven
One written before go-live that covers how to reverse what the agent did, who can pull it without a committee, and how you prove the reverse worked. Seven action classes, a one-page plan, and a named freeze owner at https://www.therevenueaireport.com/blog/ai-agent-rollback-plan-before-production
Nobody audits it unless you write the right in. The vendor defines the billable unit, detects it with its own system, and holds the only full-fidelity record, so the audit clause and your own parallel count must exist before signature, not at the first true-up. Clause set and parallel-count owner at https://www.therevenueaireport.com/blog/who-audits-the-agent-meter
Digital Wallet alerts on consumption but does not block it, so overage keeps accruing unless you build your own kill switch with a named owner and a written threshold. Full decoder at https://www.therevenueaireport.com/blog/agentforce-digital-wallet-no-kill-switch
Digital Wallet is org-level billing visibility, not automatic BU chargeback. Tag cohorts by cost center before scale, allocate month-end wallet burn by tagged share, and name RevOps on the allocation table and Finance on the journal entry. Full decoder at https://www.therevenueaireport.com/blog/agentforce-flex-credits-bu-chargeback
Yes. Salesforce meters headless consumption tied to your edition's API headroom, and customers contract separately with Anthropic for Claude inference. Stokes told VentureBeat you cannot buy it on one piece of paper at the moment. Budget two lines with two owners and no invented Claudeforce seat price. Full decoder at https://www.therevenueaireport.com/blog/claudeforce-two-contracts-two-meters
Model actions rather than conversations, measure actions per completed task, set a cohort ceiling and a written kill threshold because Digital Wallet has no kill switch, then reconcile the arrears invoice back to the in-month reading at close. Full forecast-and-close model at https://www.therevenueaireport.com/blog/agentforce-flex-credits-forecast-and-close
Check the SKU codes on the signed order form and confirm in Digital Wallet whether prompts consume Einstein Requests or Flex Credits. A1E/A4X burns Flex Credits only. E1E/E4X and some pre-October 24, 2025 Foundations paths still split Einstein Requests for prompts and Flex Credits for actions. Full decoder at https://www.therevenueaireport.com/blog/agentforce-sku-flex-credits-or-einstein-requests
An independent weekly publication that measures what revenue teams actually got from AI by function, and publishes what they turned off. It maintains four named frameworks: the Proof Gap, the Reversal Ledger, the Eight-Seat Read, and Optimization Theater. Founded and edited by Jonathan Kvarfordt. Frameworks are at https://www.therevenueaireport.com/frameworks
Director level and above at companies of 100 or more people, weighted to mid-market and enterprise VP and C-suite GTM and revenue leaders. CRO is in the set, not the whole set. It also covers enablement, RevOps and GTM engineering, sales, customer success, marketing, partners, business development, leaders, and founders.
The Proof Gap is the measurable distance between an organization's AI spend and its AI-attributable revenue in a quarter. You bought the tools, the pilots ran, the time savings got reported upward, and you still cannot show what changed in revenue. Definition and formula at https://www.therevenueaireport.com/frameworks/proof-gap
The Reversal Ledger is the running public record of AI deployments companies had to undo. Each row names the company, the tool where it is disclosed, the function, the failure mode, the date, and the source. Framework at https://www.therevenueaireport.com/frameworks/reversal-ledger and the live record at https://www.therevenueaireport.com/reversal-ledger
Analyst firms sell research and advisory to the vendors they cover. Vendor case studies are marketing written by the seller. The Revenue AI Report takes no vendor money for coverage, publishes its methodology with every number, and maintains the Reversal Ledger, a public record of AI deployments companies undid. One sponsor per issue, placed next to the evidence and never inside it.
74% of 2,527 senior decision makers had already rolled back or shut down a deployed AI communications agent, and 98% were increasing investment anyway. S&P Global Market Intelligence found 42% of businesses scrapped most of their AI initiatives in 2025, up from 17% the year before. Gartner predicts 30% of generative AI projects will be abandoned after proof of concept. The full sourcing is at https://www.therevenueaireport.com/research/rollback
74% of 2,527 senior decision makers had already rolled back or shut down a deployed AI communications agent, and 98% were increasing investment anyway. The rate is higher, not lower, among teams that describe their guardrails as mature. Charts and sources are at https://www.therevenueaireport.com/research/rollback
Measure it by function, against a pre-AI baseline, on outcomes rather than activity. Only 22% of finance leaders can tie AI spend to a business outcome today. The Revenue AI Report publishes spend against attribution, by seat, at https://www.therevenueaireport.com/research/spend-vs-attribution
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. Definition at https://www.therevenueaireport.com/frameworks/optimization-theater
Bring a function-level number with a named source, a pre-AI baseline, and the list of what you turned off and why. Reporting AI impact to the board is covered at https://www.therevenueaireport.com/blog/reporting-ai-impact-to-the-board and the documented reversals are at https://www.therevenueaireport.com/reversal-ledger
Weekly, on a five-pillar rotation: Reality Check, The Teardown, Benchmark, Post-Mortem, and the Operator Playbook.
Yes. One sponsor per issue. No sponsor sees an issue before it goes out, no sponsor picks a case, and no sponsor buys a paragraph. Sponsors sit next to the evidence, never inside it. Reach out via the Contact and Sponsor page.
The Claudeforce wait-versus-buy decoder at https://www.therevenueaireport.com/blog/claudeforce-wait-or-buy covers open beta for all customers as of Sep 15, 2026, still no GA and no published price, and the four questions to put to your Salesforce AE in writing.
The five CRM truth tests are at https://www.therevenueaireport.com/blog/pipeline-truth-test-for-ai
The six pre-signature kill criteria are at https://www.therevenueaireport.com/blog/ai-sdr-kill-criteria-before-you-sign