Software
Your engineers are great at building product. Not at building your revenue ops.
We build the revenue infrastructure that turns your GTM motion into a repeatable, scalable machine.
The Short Answer
The software industry covers SaaS companies, on-premise software vendors, platform businesses, vertical SaaS, infrastructure software, developer tools, and AI-native product companies that build and sell software to other businesses or end users. Operationally it spans product development, demand generation and lead capture, sales pipeline management, customer onboarding, customer success and retention, renewals, expansion, billing, and support. AI is applied to lead scoring and routing, sales forecasting and pipeline intelligence, customer health monitoring and churn prediction, product analytics, in-product onboarding, AI-assisted support deflection, and automated marketing-to-sales-to-CS handoffs.
You Know This Problem
Sound familiar?
Leaky Funnel
Leads come in but don't convert at the rate they should. The handoff from marketing to sales to CS is broken somewhere - but you can't see where.
Forecasting Nobody Trusts
Your board asks for forecast accuracy. Your CRM says one thing. Your gut says another. You're guessing in a meeting.
Churn You Can't See Coming
Customers churn and your first signal is the cancellation. By then, it's too late to save them.
What We Build
What we build for Software
System / Agent
What It Does
Full-Funnel Revenue Systems
Connect your marketing, sales, and CS systems into a single pipeline with clean attribution.
Lead Scoring & Routing
AI-powered scoring and instant routing based on fit, behavior, and intent signals.
Sales-to-CS Handoff System
Structured, automated handoff that transfers context without losing a thing.
Customer Health Monitoring
Real-time health scores for every account, with alerts for churn risk signals.
Churn Prevention Agent
Identifies at-risk accounts 60-90 days out and triggers save sequences automatically.
Pipeline Intelligence Agent
AI-generated weekly forecast with confidence scoring and deal-level commentary.
40%
Avg forecast accuracy improvement
25%
Reduction in churn with prevention agent
2×
Faster sales cycle with better routing
Featured Case Study
Real results in software.
AI Agents Open Enterprise Pipeline From Scratch
Kitcast, a Silicon Valley-based startup in the digital signage space, engaged Revenue Institute to build an automated Account-Based Marketing (ABM) strategy from scratch. Focused on digital sign management - the software behind media screens in retail, corporate offices, and public venues - Kitcast was a small startup of Ukrainian immigrants competing against billion-dollar incumbents. Without any existing network in the US, they needed enterprise pipeline fast.
Read the full case study120 days
Time to First Enterprise Pipeline
180-360 days
Typical Enterprise Cycle
15 people
Team Size
Explore Capabilities
AI Use Cases for Software
Here's what those systems actually look like for software firms today.
AI Customer Health & Churn Prediction for SaaS
AI agents predict customer churn risk months before warning signs surface, surface interve...
AI Expansion Revenue Intelligence for SaaS
AI agents identify expansion opportunities within existing customers-seat upgrades, plan t...
AI Customer Onboarding Automation for SaaS
AI agents personalize onboarding sequences, identify users stuck on critical setup steps, ...
AI Pipeline Forecasting Agent for SaaS
AI agents predict deal close probability and timing from CRM data, email patterns, and eng...
AI PQL Lead Scoring & Routing for SaaS
AI agents score product-qualified leads from usage signals, predict expansion potential, a...
AI Renewal Risk Detection for SaaS
AI agents predict renewal outcomes 90+ days in advance, identify accounts at risk of downg...
Show all 8 Software use casesHide additional use cases
Common Questions
Quick answers to what most software leaders ask before we kick off.
Why wouldn't we just build this ourselves?
You could. But your engineers' time is worth $150-300/hr building product - not pipeline infrastructure. We've built these systems 30+ times. You'd spend 6-12 months figuring out what we already know.
We're already using HubSpot/Salesforce. Can you work with our existing stack?
Yes. We work with every major CRM and are tool-agnostic. We'll optimize what you have before recommending new tools.
How long does it take to get a system live?
First system live in 30-60 days. Full revenue operating model typically 90-120 days. We start with the leakiest part of your funnel so you see lift before the whole stack is built.
What happens when the AI gets something wrong?
Every agent has guardrails, confidence thresholds, and human-in-the-loop checkpoints for high-stakes actions. Reps still own deals - the agent removes the busywork and surfaces the signal.
How much engineering bandwidth do we need from our side?
Minimal. A point person to grant access and answer questions, plus 1-2 hours a week of GTM leadership review. We do the build.
How do you handle our customer data and security?
We work inside your existing tools and infrastructure where possible. SOC 2-aligned practices, scoped credentials, no model training on your data. We sign DPAs and complete security questionnaires as standard.
What does this cost compared to hiring a RevOps lead?
A senior RevOps lead runs $180-220K loaded. Our engagement typically pays for itself inside two quarters by lifting forecast accuracy, conversion, and net revenue retention - without adding a permanent headcount line.
Ready to see this applied to your software firm?
Book a 30-minute strategy call. We'll show you exactly what we'd build.
Book a Strategy Call