Sales
Be ready. Be present.
Know the next best action before the conversation. Agents bring the account context and prepared follow-up. You bring curiosity, judgment, and the relationship.
Explore Sales
Agents carry the busywork. Your team gains the capacity to build more pipeline, win more business, and grow more accounts.
In short
RevTech runs fully managed AI agents for sales, marketing, customer success, and RevOps. We run the AI and carry the repeatable work. Your team sets the direction, makes the decisions, and builds the customer relationships.
More capacity for your team
From first touch to last dollar, agents carry repeatable work. Put the capacity your team gains toward revenue, profitability or stronger customer relationships.
Sales
Know the next best action before the conversation. Agents bring the account context and prepared follow-up. You bring curiosity, judgment, and the relationship.
Explore Sales
Marketing
Turn your brief into campaign drafts you can shape. Agents help create and organize the work, so you can spend more time finding the story your audience will care about.
Explore Marketing
Customer Success
A health score is a starting point. Understanding the person behind it is your strength. Agents bring customer health and account context together, so you can respond with care.
Explore Customer Success
RevOps
Cleaner data. Stronger compliance. More confidence in the next decision. Agents inspect records and prepare corrections for review, giving you room to improve how the whole team works.
Explore RevOps
What is RevTech? Your fully managed AI team.
Five RevTech layers work above your existing stack. We manage the data, the machine learning and the agents. Your people use the context to decide what matters and what happens next.
Layer 5
Prepared work reaches the people who need it through the Action Center, briefings, voice and reports. Arrive ready to review, decide and connect.
Layer 4
Your permissions and review rules guide what can happen. See the evidence and action history, so people can make informed decisions and stay accountable.
Layer 3
AI agents use the business context and Revenue Brain signals to research, draft and coordinate next steps. Work moves within your permissions and approval rules.
Layer 2
Machine learning models find patterns in the managed GTM data and turn them into signals and predictions. Your team and agents get a clearer view of where attention may help.
Layer 1
We pull data from your connected systems, transform it into a shared GTM model, and manage it over time. Your team gets usable context without carrying the data preparation.
Yours
Your foundation. Keep the systems you use. RevTech connects the agreed data sources and returns permitted updates; your CRM stays the system of record.
The whole GTM opportunity
$15Mpotential added revenue / year
$15M
Revenue from added selling capacity or faster cycles, counted once against qualified demand.
+$60M
Qualified pipeline from 600 more opportunities. Supports the sales result.
+$12M
Customer ARR your team could support. Expansion stays within sales until you choose separate ownership.
$576K
$480K velocity gross profit, $36K tooling savings and $60K avoided hiring. Velocity overlaps sales; distinct costs are counted once.
In this scenario, 50 sellers work with 15 marketers and 10 customer success managers. An average contract is $100K. Agents return 8 hours of each seller’s week for customer work. Your conversion rate and capacity determine the revenue.
Percentage points of the whole week; limited to time outside the work above.
Potential output per rep
$1.5M → $2.1M
annual quota capacity · 1.40× current capacity
About $600,000 more per rep each year
+$30M
additional annual selling capacity across 50 reps
50% of the week today + 20% recovered × 100% redeployed = 70% available for productive work.
Revenue needs both selling capacity and qualified demand. The total uses whichever is lower: the sales capacity you expect to convert, or the revenue your pipeline could produce. Customer expansion is added only when it is outside sales quota.
Existing, partner or sales-sourced pipeline for this added capacity. Exclude the marketing pipeline already counted.
Add implementation, integration and other incremental costs.
Sales capacity: $30M × 50% = $15M.
Pipeline: ($60M from marketing + $0 from other sources) × 25% = $15M.
Revenue opportunity: the lower of those two amounts, $15M. Sales capacity case: $15M. Velocity case: $600K; use the larger, then add separately owned CS expansion. Total: $15M.
Distinct operating savings: $36K in GTM tools and $60K in avoided planned hiring.
$15M
projected additional annual revenue
$11.3M
first-year value after investment
185.4×
gross profit + cost savings / investment
18,443% net ROI
Modelled platform investment: $5,099/month · Total first-year investment: $61,188
Capacity multiplier = (current productive share + recovered share × redeployment share) ÷ current productive share. Sales quota capacity = current quota × that multiplier. The $3m → $6m example assumes selling time grows from 50% to 100%, with output per selling hour unchanged. Getting 50% of non-selling time back would instead take selling time from 50% to 75%, supporting $4.5m.
Sales revenue = the lower of additional sales quota capacity × 50% capture and total qualified pipeline × 25% win rate. Total revenue = sales revenue. Marketing pipeline is not added to sales revenue. Managed ARR is a service-capacity measure, not new revenue. RevOps tool retirement and avoided planned hiring are modelled separately.
Net ROI = (gross profit + distinct RevOps cost savings − first-year investment) ÷ first-year investment. Sales capacity and velocity revenue overlap: the larger demand-backed case is used, never both. Current platform reference uses 5,100 credits/month at published pricing. SDRs and solutions engineers use the sales-role credit allowance for budgeting, with no additional quota claim. Usage, setup costs and delivery scope need validation.
Starting inputs are planning estimates, not measured account results. Account proposals use the research basis shown in the team editor. Capacity does not automatically raise quota or create demand; the linear scenario assumes sufficient qualified pipeline, sustained conversion, comparable account complexity and capacity to deliver. Edit every input to reflect your team. The full-GTM total already includes these functions; do not add separate scenarios to it again.
One system. Your whole GTM team.
From first touch to last dollar, agents share customer context across teams. RevOps keeps compliance, data hygiene, and review rules connected throughout.
Create pipeline
Marketing agents prepare campaign content and coordinate the work that starts relevant conversations.
Advance opportunities
Sales agents bring account context and recommended next steps together, so sellers can move each opportunity forward.
Win the business
Keep commitments, deal context, and CRM updates connected as your team earns the customer’s decision.
Retain & expand
Customer health and context help your team prepare for renewals, address risks, and find the next way to help.
Services · people behind your agents
Our forward-deployed engineers work alongside your team to make agentic GTM part of everyday work. Bring your business priorities. We’ll help turn them into workflows your people can use.

Connect Salesforce or HubSpot, clean up your CRM and get your team ready.
Explore serviceTrain each team to direct agents, review work and own the final decisions.
Explore serviceBuild and deploy agent workflows around the way your business operates.
Explore serviceLet us run your revenue operations, or the parts you need help with.
Explore serviceExplore how agents prepare work across your revenue teams, and how people review it, guide it and decide what happens next. Fictional data. Real product.
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