# RevTech.ai > RevTech provides fully managed AI agents for go-to-market teams. RevTech runs the agents; > your team governs them. Core message: Scale revenue beyond human limits. Agents do the > repeatable work across sales, marketing, customer success, and RevOps; people keep the > decisions; the CRM stays the system of record. What a revenue organization can execute has always been limited by how many hours its people have. RevTech removes that ceiling: specialized agents monitor, research, identify, coordinate, create, and complete approved work across the whole customer lifecycle, fully managed by RevTech, with nothing for the customer's team to build or operate. Every agent works inside the customer's permissions and business rules, important actions wait for human approval, and everything an agent does is recorded. ## Pages - [Home](https://revtech.ai): what RevTech is, the capacity argument, the four teams, FAQ - [Platform](https://revtech.ai/platform): how the managed service works, as four layers on top of the customer's existing stack (GTM data model, agents and orchestration, governance, experiences); the base layer is the customer's own systems, unchanged - [AI Agents](https://revtech.ai/ai-agents): the seven agents, mirroring the product - [Voice Agent](https://revtech.ai/ai-agents/voice-agent): spoken updates into governed CRM work, follow-up, and next steps - [RevPlays](https://revtech.ai/ai-agents/revplays): cross-functional, account-centric plays agents run end to end - [Lead Management](https://revtech.ai/ai-agents/lead-management): every inbound lead enriched, scored, routed, and messaged under the customer's rules - [Campaign Management](https://revtech.ai/ai-agents/campaign-management): objectives, budget, content, and audiences across the full create-campaign flow - [Analyst Agent](https://revtech.ai/ai-agents/analyst): scheduled revenue answers from CRM data, with evidence attached - [Sales Agent](https://revtech.ai/ai-agents/sales): service-level rules and guardrails applied to every deal - [AI Messaging](https://revtech.ai/ai-agents/messaging): reusable sequence frameworks; AI writes the account-specific message for human review - [Solutions](https://revtech.ai/solutions): the four revenue teams - [Sales](https://revtech.ai/solutions/sales): agents for the work that surrounds every deal - [Marketing](https://revtech.ai/solutions/marketing): demand carried from signal to owned next step - [Customer Success](https://revtech.ai/solutions/customer-success): customer signals turned into prepared account work - [RevOps](https://revtech.ai/solutions/revops): the operating standard set once, executed by every team - [Pricing](https://revtech.ai/pricing): consumption pricing for agentic GTM - [ROI](https://revtech.ai/roi): the Agentic GTM value model, with per-team pages for sales, marketing, customer success, and RevOps - [Resources](https://revtech.ai/resources): the hub for comparisons, research, enablement, ROI, the blog, and the company story - [Compare](https://revtech.ai/compare): RevTech against Salesforce Agentforce, HubSpot Breeze, Gong, Clari, Outreach, Clay, generic AI tools, and building it yourself - [Research](https://revtech.ai/research): buyer diligence: what agents do and do not do, how the managed service works, what happens when an agent is wrong, and how each GTM role changes - [Enablement](https://revtech.ai/enablement): long-form education on agentic GTM and revenue operations, plus guides, courses, videos and tracks for working with agents - [Blog](https://revtech.ai/blog): short arguments on how revenue work is changing - [About](https://revtech.ai/company/about): why RevTech exists and what it is building - [Security](https://revtech.ai/security): observability, managed infrastructure, auditable actions, resource limits, data controls, permissioning, and evaluation - [Start working with agents](https://revtech.ai/company/contact): tell sales what you need, the way to start - [Contact](https://revtech.ai/contact): send RevTech a message ### Compare (bottom-of-funnel: RevTech vs the alternatives) - [vs Salesforce Agentforce](https://revtech.ai/compare/salesforce-agentforce): Agentforce is configured and run by your team; RevTech is managed - [vs HubSpot Breeze](https://revtech.ai/compare/hubspot-breeze): Breeze inside HubSpot vs managed agents across the whole stack - [vs Gong](https://revtech.ai/compare/gong): revenue signal capture vs managed execution of the work signals create - [vs Clari](https://revtech.ai/compare/clari): forecasting and orchestration vs managed execution behind the number - [vs Outreach](https://revtech.ai/compare/outreach): seller tooling vs agents governed by RevOps across every function - [vs Clay](https://revtech.ai/compare/clay): a platform you build and maintain vs a service RevTech runs - [vs generic AI tools](https://revtech.ai/compare/generic-ai-tools): individual productivity vs managed organizational capacity - [vs building it yourself](https://revtech.ai/compare/build-vs-buy): a prototype agent vs the operating infrastructure behind one ### Research (buyer diligence) - [What agents actually do](https://revtech.ai/research/what-agents-do): the concrete work carried across every team - [What agents do not do](https://revtech.ai/research/what-agents-do-not-do): the deliberate boundaries on judgment, data, and access - [How RevTech runs your agents](https://revtech.ai/research/how-revtech-runs-agents): what "fully managed" means operationally - [How agents get context](https://revtech.ai/research/how-agents-get-context): the GTM data model and your business rules - [How work gets approved](https://revtech.ai/research/how-work-gets-approved): review queues, thresholds, and the action record - [When an agent gets it wrong](https://revtech.ai/research/when-an-agent-is-wrong): containment, detection, and recovery - [What changes for sellers](https://revtech.ai/research/what-changes-for-sellers) - [What changes for sales managers](https://revtech.ai/research/what-changes-for-managers) - [What changes for RevOps](https://revtech.ai/research/what-changes-for-revops) - [What changes for marketing](https://revtech.ai/research/what-changes-for-marketing) - [What changes for customer success](https://revtech.ai/research/what-changes-for-customer-success) - [What changes for GTM leaders](https://revtech.ai/research/what-changes-for-leaders) ### Enablement — agentic GTM concepts - [What is Agentic GTM?](https://revtech.ai/enablement/agentic-gtm) - [What is AI-native GTM?](https://revtech.ai/enablement/ai-native-gtm) - [What is an agentic operating layer?](https://revtech.ai/enablement/agentic-operating-layer) - [Human-agent workflows](https://revtech.ai/enablement/human-agent-workflows) - [Agentic GTM governance](https://revtech.ai/enablement/agentic-gtm-governance) - [The Agentic GTM maturity model](https://revtech.ai/enablement/agentic-gtm-maturity-model) - [Glossary](https://revtech.ai/enablement/glossary): definitions of the key Agentic GTM and RevOps terms - [Templates](https://revtech.ai/enablement/templates): operating templates for pipeline, forecast, and account review ### Enablement — revenue operations - [What is RevOps?](https://revtech.ai/enablement/revops) - [The RevOps operating model](https://revtech.ai/enablement/revops-operating-model) - [CRM hygiene](https://revtech.ai/enablement/crm-hygiene) - [Pipeline management](https://revtech.ai/enablement/pipeline-management) - [Sales forecasting](https://revtech.ai/enablement/forecasting) - [Lead management](https://revtech.ai/enablement/lead-management) - [Account planning](https://revtech.ai/enablement/account-planning) - [Partner operations](https://revtech.ai/enablement/partner-operations) - [Customer success operations](https://revtech.ai/enablement/customer-success-operations) - [GTM operating cadence](https://revtech.ai/enablement/gtm-operating-cadence) ### Enablement — working with agents (guides, courses, videos, tracks) - [RevTech Launchpad](https://revtech.ai/enablement/launchpad-track): the first two weeks: what agents do, how the queue works, running your first play - [Governing agentic GTM](https://revtech.ai/enablement/governing-track): for RevOps: rules, review routing, and the audit trail - [Agentic GTM for revenue leaders](https://revtech.ai/enablement/leaders-track): the capacity argument, the first quarter, and what to measure - [Working with AI agents day to day](https://revtech.ai/enablement/working-with-agents): what changes in your week, and the habit that decides whether it sticks - [Writing rules agents can actually enforce](https://revtech.ai/enablement/writing-rules-agents-enforce): turning process documents into evaluable standards - [Pipeline hygiene as a system](https://revtech.ai/enablement/pipeline-hygiene-system): why quarterly clean-ups fail and what continuous inspection replaces them with - [Reading an analyst answer properly](https://revtech.ai/enablement/reading-an-analyst-answer): checking the evidence before taking a number into a meeting - [Build and run your first RevPlay](https://revtech.ai/enablement/first-revplay): turning a motion your best rep runs from memory into a repeatable play - [Running a campaign with drafted content](https://revtech.ai/enablement/campaign-content-course): landing pages, solution briefs and ad copy that arrive written - [Renewals and expansion with the Customer agent](https://revtech.ai/enablement/renewals-and-expansion): surfacing risk while it is fixable, and finding expansion early - [A day in the Action Center](https://revtech.ai/enablement/action-center-video): watching a rep work a real queue - [How approvals work](https://revtech.ai/enablement/how-approvals-work): the path a prepared change takes, and every point a person can stop it ### Enablement — using RevTech (how-to guides, one per product surface) - [Running the weekly forecast call in RevTech](https://revtech.ai/enablement/forecasting-with-revtech): walking Forecast in the order the call should go, and ending with the gap owned - [Working the Pipeline report](https://revtech.ai/enablement/working-the-pipeline-report): where pipeline came from, how it moved, and how it closed - [Planning the revenue year](https://revtech.ai/enablement/planning-the-revenue-year): bookings, recognized revenue and the ARR bridge - [Setting targets that hold](https://revtech.ai/enablement/setting-targets-that-hold): the company-to-team-to-individual cascade, and allocating so it survives the quarter - [Segmenting the account base](https://revtech.ai/enablement/segmenting-the-account-base): building reusable audiences that campaigns, plays and reporting all draw on - [Reading the KPI and performance surfaces](https://revtech.ai/enablement/kpis-agents-work-toward): how the company is doing, then who is carrying it - [Governing the lead flow](https://revtech.ai/enablement/governing-the-lead-flow): flows as contracts between marketing and sales, and finding where leads die - [Working accounts and account plans](https://revtech.ai/enablement/working-account-plans): lifecycle as the operating spine, and the plan as a real deliverable - [Keeping the buying group current](https://revtech.ai/enablement/keeping-the-buying-group-current): engagement, dormancy inside live deals, and building the org chart - [Working deals with agents](https://revtech.ai/enablement/working-deals-with-agents): one shared definition of stage, forecast category and committee - [Coaching from team performance](https://revtech.ai/enablement/coaching-from-team-performance): the weekly 1:1 read on both the sales and customer success sides - [Setting up teams and ownership](https://revtech.ai/enablement/setting-up-teams-and-ownership): teams decide which targets exist and which reports scope - [Configuring your agents](https://revtech.ai/enablement/configuring-your-agents): what "configured" actually means, and the order that makes it quick - [Maintaining the artifact library](https://revtech.ai/enablement/the-artifact-library): the operating library you maintain and every agent reads from - [Messaging frameworks agents write from](https://revtech.ai/enablement/messaging-frameworks-agents-write-from): authoring a sequence as a framework, not as message copy - [Scheduling the Analyst](https://revtech.ai/enablement/scheduling-the-analyst): matching each analysis cadence to the decision it feeds - [Finding your way around Reporting](https://revtech.ai/enablement/reading-revtech-reports): navigating the report set and sharing a view without describing it - [Running RevTech: access, teams and credits](https://revtech.ai/enablement/running-revtech): company settings, roles, users, billing and credit usage ### Enablement — Build and run your first RevPlay (lessons) - [What makes a motion repeatable](https://revtech.ai/enablement/first-revplay/what-makes-a-motion-repeatable): decide whether a motion your team runs today belongs in a RevPlay, or whether it should stay a judgment call a person makes each time. - [Auditing how your team runs it today](https://revtech.ai/enablement/first-revplay/auditing-how-your-team-runs-it-today): produce a written, honest account of how the motion runs today (its real steps, owners and failure points) so the play you build encodes reality rather than the version in the handbook. - [Writing the play's purpose in one sentence](https://revtech.ai/enablement/first-revplay/writing-the-purpose-in-one-sentence): complete the Overview step of name, purpose, lifecycle stages, classifications and KPIs, knowing which of those choices you cannot revise cheaply later. - [Day-based steps and why they beat triggers here](https://revtech.ai/enablement/first-revplay/day-based-steps): lay out a motion on a timeline rather than as a chain of triggers, and know which parts of the motion that choice makes easier to reason about. - [Adding actions and their instructions](https://revtech.ai/enablement/first-revplay/adding-actions-and-instructions): attach actions to your timeline steps, write execution instructions an agent can prepare against, and route each action to the owner, function or role that should hold it. - [Deciding what needs approval](https://revtech.ai/enablement/first-revplay/deciding-what-needs-approval): set the autonomy level for each action deliberately, so review lands where the risk is rather than everywhere. - [Segment, lifecycle stage, and signal conditions](https://revtech.ai/enablement/first-revplay/eligibility-conditions): express who a play is for as conditions over account properties, and understand that eligibility is continuous rather than a one-off selection. - [Building your eligibility set](https://revtech.ai/enablement/first-revplay/building-your-eligibility-set): write and refine the conditions for your own play, starting deliberately narrow and widening only once the motion has proven itself. - [Checking the size of what you just defined](https://revtech.ai/enablement/first-revplay/checking-the-size): convert the eligible-account count into the number of actions your team will actually receive, and adjust before that lands in anyone's queue. - [Walking the review summary](https://revtech.ai/enablement/first-revplay/walking-the-review-summary): read a finished play back on the Review & Activate step and catch the errors that only become visible when the whole motion is laid out in order. - [Activating against your segment](https://revtech.ai/enablement/first-revplay/activating-against-your-segment): put the play live understanding exactly what activation starts, and what to watch in the first days. - [Reading enrollment and impact after two weeks](https://revtech.ai/enablement/first-revplay/reading-enrollment-and-impact): use RevPlay Impact and the library rollups to judge whether the play is working, and know which numbers cannot answer that question. ### Enablement — Running a campaign with drafted content (lessons) - [The brief and the objectives are different fields](https://revtech.ai/enablement/campaign-content-course/the-brief-and-the-objectives): fill in the Strategy step correctly: prose in the brief, numbers in the objectives, and know which of the two decides whether your copy is any good. - [Building the target audience](https://revtech.ai/enablement/campaign-content-course/building-the-target-audience): select the campaign audience from HubSpot Lists and Segments, and check it will actually support per-account copy before you commit to it. - [Budget, and the report it feeds](https://revtech.ai/enablement/campaign-content-course/budget-and-the-report-it-feeds): record the campaign budget across its five line items so the campaign can later be judged on efficiency rather than on volume. - [Campaign-level or per-account](https://revtech.ai/enablement/campaign-content-course/campaign-or-per-account): choose between campaign-level and per-account assets understanding that the choice multiplies your review load, your cost and your specificity all at once. - [What generation costs, and the warning before it starts](https://revtech.ai/enablement/campaign-content-course/what-generation-costs): size the credit and review cost of a campaign before launching it, and know what the credit warning is actually telling you. - [Associations and UTMs](https://revtech.ai/enablement/campaign-content-course/associations-and-utms): wire the campaign to the forms, pages and sequences it depends on, so that what it produces can be traced back to it. - [Which artifacts the agent draws on](https://revtech.ai/enablement/campaign-content-course/which-artifacts-the-agent-draws-on): treat the artifact library as the campaign's source material, and audit the three artifacts that most determine whether drafted copy is any good. - [Setting messaging style for the campaign](https://revtech.ai/enablement/campaign-content-course/setting-messaging-style-for-the-campaign): author a messaging sequence framework without writing message copy into fields that are meant to hold framework. - [What the agent will not invent](https://revtech.ai/enablement/campaign-content-course/what-the-agent-will-not-invent): read vagueness in a draft as a map of where your library is thin, and fix it upstream where the fix applies to everything. - [Spot-checking a sample rather than every page](https://revtech.ai/enablement/campaign-content-course/spot-checking-a-sample): review a large batch by sampling deliberately, and be honest about what a sample can and cannot tell you. - [Editing the pattern instead of the instance](https://revtech.ai/enablement/campaign-content-course/editing-the-pattern-not-the-instance): turn what the sample found into upstream changes, so a single fix applies to the whole batch instead of one asset. - [Shipping approved assets](https://revtech.ai/enablement/campaign-content-course/shipping-approved-assets): move approved assets out of RevTech by the right path for each channel, and keep a record of what actually shipped. ### Enablement — Renewals and expansion with the Customer agent (lessons) - [What goes into a health score](https://revtech.ai/enablement/renewals-and-expansion/what-goes-into-a-health-score): understand what a health score summarizes, and treat it as a way to rank attention rather than as a prediction about an account. - [Reading the distribution, not the mean](https://revtech.ai/enablement/renewals-and-expansion/reading-the-distribution): read health as a distribution and net retention as four separate levers, so you can name what is actually moving instead of reporting an average. - [Finding your at-risk book](https://revtech.ai/enablement/renewals-and-expansion/finding-your-at-risk-book): produce the specific, owned list of at-risk accounts you will work this week, and establish the cadence that keeps it current. - [Working the renewal pipeline by period](https://revtech.ai/enablement/renewals-and-expansion/working-the-renewal-pipeline-by-period): work the renewal book by period rather than by whatever is closest, and start each renewal on a timeline set by its risk. - [What the agent prepares for each renewal](https://revtech.ai/enablement/renewals-and-expansion/what-the-agent-prepares): know what arrives already assembled for a renewal, and what remains entirely yours to decide. - [Reviewing a prepared customer response](https://revtech.ai/enablement/renewals-and-expansion/reviewing-a-prepared-customer-response): review a drafted customer response against the trigger that produced it, and know what to change versus what to send back. - [Reading the account map for coverage gaps](https://revtech.ai/enablement/renewals-and-expansion/reading-the-account-map): use the account map to find where the relationship is thin, and treat coverage gaps as the precondition for expansion rather than an afterthought. - [Signals that precede an expansion conversation](https://revtech.ai/enablement/renewals-and-expansion/signals-that-precede-expansion): recognize the evidence that an account is ready for an expansion conversation, and tell it apart from evidence that they merely like you. - [Turning a signal into an owned play](https://revtech.ai/enablement/renewals-and-expansion/turning-a-signal-into-an-owned-play): convert a repeating expansion signal into a RevPlay with a named owner, so the motion runs on evidence rather than on individual initiative. ### Enablement — RevTech Launchpad (lessons) - [Start here: the operating model](https://revtech.ai/enablement/launchpad-track/start-here-the-operating-model): get the operating model clear enough that the rest of the track has something to attach to, particularly the division between what agents carry and what people keep. - [Working with AI agents day to day](https://revtech.ai/enablement/launchpad-track/working-with-agents-day-to-day): turn the model into the shape of your actual week, and take away the one habit that decides whether any of this sticks. - [A day in the Action Center](https://revtech.ai/enablement/launchpad-track/a-day-in-the-action-center): see the surface you will be working in every day, and learn what each part of an action card is telling you. - [What approval actually decides](https://revtech.ai/enablement/launchpad-track/what-approval-decides): understand what happens when you approve, edit or reject, and why your rejections are the most useful thing you produce in week one. - [Working your own queue for a week](https://revtech.ai/enablement/launchpad-track/working-your-own-queue-for-a-week): run the daily rhythm for five working days and come out with a calibrated queue and a written list of what needs fixing. - [Build and run your first RevPlay](https://revtech.ai/enablement/launchpad-track/build-and-run-your-first-revplay): cross from working prepared work to defining it, by building and activating a real play end to end. ### Enablement — Governing agentic GTM (lessons) - [Writing rules agents can actually enforce](https://revtech.ai/enablement/governing-track/writing-rules-agents-can-enforce): learn what separates a rule that can be evaluated from a policy that can only be quoted, before you author any of your own. - [Authoring your first five rules](https://revtech.ai/enablement/governing-track/authoring-your-first-five-rules): write five real, evaluable rules against your own process, sized so the team can absorb what they surface. - [Pipeline hygiene as a system](https://revtech.ai/enablement/governing-track/pipeline-hygiene-as-a-system): see why hygiene campaigns regress and what makes the difference between a cleanup and a standard that holds. - [Approvals as a governance control](https://revtech.ai/enablement/governing-track/approvals-as-a-governance-control): see the approval mechanism from the governance side: what the gate is, what it records, and what you are deciding when you place one. - [Mapping severity to owners](https://revtech.ai/enablement/governing-track/mapping-severity-to-owners): assign each severity level to the role that should hold it, and produce a routing map that survives people changing jobs. - [Proving a number you reported](https://revtech.ai/enablement/governing-track/proving-a-number-you-reported): interrogate an analyst answer the way governance requires, checking the evidence and the question, not just the conclusion. - [Measuring backlog rather than breach count](https://revtech.ai/enablement/governing-track/measuring-backlog-not-breach-count): set up a measurement that tells you whether governance is working, rather than one that tells you how much it is finding. ### Enablement — Agentic GTM for revenue leaders (lessons) - [The argument you will have to defend](https://revtech.ai/enablement/leaders-track/the-argument-you-will-defend): get the operating-model argument in a form you can put in front of a board, and identify the claim you would be challenged on first. - [Modeling the ROI with your own numbers](https://revtech.ai/enablement/leaders-track/modeling-the-roi): build a defensible model using your organization's actual figures, and know which inputs the result is most sensitive to. - [Why week one is noisier than week four](https://revtech.ai/enablement/leaders-track/why-week-one-is-noisier): recognize the normal early-adoption pattern so you do not intervene against a system that is calibrating exactly as expected. - [The last check before a number travels](https://revtech.ai/enablement/leaders-track/the-last-check-before-it-travels): interrogate the numbers you are about to repeat, so that what you report upward is something you can stand behind. - [Backlog trend over breach count](https://revtech.ai/enablement/leaders-track/backlog-trend-over-breach-count): ask for the measure that reflects whether the process is improving, and stop rewarding the one that improves when enforcement weakens. - [Capacity recovered, and where it went](https://revtech.ai/enablement/leaders-track/capacity-recovered-and-where-it-went): hold the organization to the second half of the capacity argument: not just that hours were recovered, but that they went somewhere you chose. ### Blog - [RevTech is now in public beta](https://revtech.ai/blog/revtech-public-beta): the platform is open; signup runs through our team until self-serve opens in September - [Capacity was always the constraint](https://revtech.ai/blog/capacity-not-ambition) - [Adopting AI is not a strategy](https://revtech.ai/blog/adopting-ai-is-not-a-strategy) - [Govern agents before you scale them](https://revtech.ai/blog/governing-agents-before-scaling-them) ### Per-team ROI models - [Sales ROI](https://revtech.ai/roi/sales) - [Marketing ROI](https://revtech.ai/roi/marketing) - [Customer Success ROI](https://revtech.ai/roi/customer-success) - [RevOps ROI](https://revtech.ai/roi/revops) ### Legal - [Privacy and Data Use Policy](https://revtech.ai/privacy) - [Terms of Service](https://revtech.ai/terms) ## Facts - Category: Agentic GTM. RevTech's role: fully managed AI agents, delivered on an agentic operating layer for GTM - Deployment: fully managed by RevTech; nothing to build or operate - Systems: HubSpot directly integrated; Salesforce via guided implementation; the CRM remains the system of record - Control: per-agent permissions, human approval on important actions, complete action history - Pricing: consumption-based. Starter is $499 per month and includes 500 credits, month to month. Credits list at $1 each; top up to 10,000 extra credits per period. There is no separate platform fee and no seat licensing. Committed monthly volume on an annual agreement is priced below the $1 list rate. See https://revtech.ai/pricing