The weekly briefing on AI in revenue

Where AI is actually Moving Revenue

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.

Arrives weekly by email. Free. Unsubscribe anytime. By subscribing you agree to our Privacy policy and Terms. We never sell or share the list.

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

HumanXForresterDomoAI4
37,994+
leaders & operators
5
pillars
1/wk
issues

Previously GTM at Momentum, acquired by Salesforce. Marketing at 1mind. Founder of the GTM AI Academy, 10,000+ students.

Ask AI Report

Ask Revenue 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.

No invented numbers. Every answer names where it came from.

Start from a common one

The readership

Built for the people who own the number.

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

Use the research on your own revenue work.

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.

PlanStart HereAbout 30 minutes

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

ResearchStart HereAbout 15 minutes per account

Research a Target Account

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

Run DealsStart HereAbout 10 minutes per deal

Review a Deal

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

Measure ResultsIntermediateAbout 1 hour

Measure AI ROI

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

Evaluate AIIntermediateAbout 1 hour

Evaluate an AI SDR

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

Evaluate AIIntermediateAbout 1 hour

Check CRM Readiness for AI

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

See one before you subscribe.

Every issue looks like this. Named operator, real numbers, a decision for every seat.

Issue 08 · Post-Mortem

The autonomous AI SDR is dead. What killed it, what is working next to it, and why the pattern rhymes with radiology.

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

Hire humans or AI? That is the question, and it is the wrong one.

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

Usage is not transformation. The 71% are Optimizing. The 29% are Reinventing.

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 GapReversal LedgerEight-Seat ReadAI SDR benchmarksPipeline truth testsPost-mortemsStack teardownsOperator playbooksThe Proof GapReversal LedgerEight-Seat ReadAI SDR benchmarksPipeline truth testsPost-mortemsStack teardownsOperator playbooks

The problem we own

The Proof Gap

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.

  • /Every quote is real and linked.
  • /Every number carries its publisher, sample size, and field date.
  • /Every failure we know about is published, including our own.

The position

The only publication that measures what revenue teams actually got from AI by function, and prints what they turned off, with names.

Portrait of Jonathan Kvarfordt, Founder & Principal Analyst

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

The Task Fallacy

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

The evidence

This is what the record already says.

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-learning

30%

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-2025

Why join

Move first on AI and still defend it.

Four things every issue is built to give you.

01

Close the Proof Gap.

Walk into the review with a number you can defend, sourced from a named team, not a vendor deck or a time-savings estimate.

02

Measured by function.

Sales, marketing, RevOps, enablement, CS, partnerships, exec, revenue finance. Every read gets cut by seat, because your seat is not the average.

03

The Reversal Ledger.

What teams turned off, why, and what it cost. Knowing what to stop is worth more than one more thing to start.

04

A decision, not a takeaway.

Every issue ends with a specific decision for each seat. Something you can run this quarter, not something to think about.

What we publish

Five pillars. One rotation. No filler.

Predictability of quality is the brand. You know the shape of every issue before you open it.

01

Reality Check

A named operator, real numbers, the screenshots, and what actually shipped this quarter.

02

The Teardown

Stack diagrams, data models, agentic workflows. The plumbing under modern revenue.

03

Benchmark

Function-level measurement of what revenue teams got from AI. New cuts each issue.

04

Post-Mortem

What got shut off, why, and what it cost. The Reversal Ledger grows every issue.

05

Operator Playbook

The actual how-to. Workflows, prompts, kill criteria. Steal, adapt, ship.

The eight seats

One case. Eight functions. A decision for each.

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

One email a week. The receipts, and what got turned off.

Arrives weekly by email. Free. Unsubscribe anytime. By subscribing you agree to our Privacy policy and Terms. We never sell or share the list.

For sponsors

Placement next to the evidence. Never inside it.

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

What this publication is, and what it measures.

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.

Should we sign an Agentic Enterprise License Agreement (AELA) or stay on Flex Credits and Conversations?

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

What are Salesforce Core, Advanced, and Max editions, and how many Flex Credits does each include?

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

Does Agentforce Coworker bill by seats or Flex Credits, and what makes a user fall back to usage metering?

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

Which Agentforce Voice meter should we put on the Order Form: Voice Actions or Voice Minutes?

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

What is Salesforce Koa, and is it GA for Agentforce?

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

What is AIforce, and how does it relate to Agentforce, Claudeforce, and Slackforce?

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

Do token counts in the AI Usage Data Model equal Flex Credit bills, or is Digital Wallet still the source of truth?

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

Which Agentforce Flex Credits buying model should we sign: PayGo, Pre-Commit, or Pre-Purchase?

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

When does Agentforce Help Agent bill 400 Flex Credits for a resolution, and when is it free?

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

How many Flex Credits does Salesforce Foundations include, and when do we outgrow them?

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

Do Agentforce and Data 360 draw from the same Flex Credit pool, and do we have to allocate credits upfront between them?

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

Do sandbox (and other pre-production) Agentforce actions burn Flex Credits, and what is the sandbox multiplier versus production?

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 what actions per conversation does Flex Credits beat the $2 Conversation SKU?

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

What rollback plan must we require before an AI agent touches production pipeline?

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

Who audits the meter on our AI agents, and what audit rights do we need before we sign?

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

Does Digital Wallet stop Agentforce when credits run out, or do we need our own kill switch?

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

How do we chargeback Agentforce Flex Credit consumption to business units when Digital Wallet only reports at the org level?

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

Do we need two contracts to buy Claudeforce, and how do we budget two meters?

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

How do we forecast Agentforce Flex Credits when overages bill in arrears?

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

Which Agentforce SKU are we on: Flex Credits only, or Einstein Requests plus Flex Credits?

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

What is The Revenue AI Report?

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

Who is The Revenue AI Report for?

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.

What is the Proof Gap?

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

What is the Reversal Ledger?

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

How is The Revenue AI Report different from analyst firms or vendor case studies?

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.

How much of enterprise AI is failing?

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

What is the AI agent rollback rate?

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

How do you measure AI ROI in revenue?

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

What is 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. Definition at https://www.therevenueaireport.com/frameworks/optimization-theater

How do you defend AI spend to a board?

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

How often is it published?

Weekly, on a five-pillar rotation: Reality Check, The Teardown, Benchmark, Post-Mortem, and the Operator Playbook.

Does it accept sponsorships?

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.

Should we wait or buy Claudeforce, and what do we ask the Salesforce AE?

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.

What truth tests should we run before buying Claudeforce, Agentforce, or an AI SDR?

The five CRM truth tests are at https://www.therevenueaireport.com/blog/pipeline-truth-test-for-ai

What kill criteria should we set before signing an AI SDR contract?

The six pre-signature kill criteria are at https://www.therevenueaireport.com/blog/ai-sdr-kill-criteria-before-you-sign