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AI Automations

SaaS Growth Engine

We built an end-to-end AI-driven pipeline that automated lead scoring, onboarding emails, and upsell triggers for a mid-stage SaaS company -- turning their flat growth curve into an exponential one.

+312%
Revenue growth in 6 months
SaaS Growth Engine — team working on AI automation pipeline

Flat growth despite a strong product

Our client, a mid-stage B2B SaaS platform with 12,000+ users, had hit a growth plateau. Despite strong product-market fit, their pipeline was leaking at every stage -- from lead capture to trial activation to paid conversion.

Key problems included:

  • Manual lead qualification burning 20+ hours per week
  • Generic onboarding emails with a 12% open rate
  • Zero upsell automation -- upgrades relied on account managers
  • No data-driven scoring to prioritize high-intent prospects
  • Fragmented tools with no unified automation layer

An AI-powered growth machine

We designed and deployed a full-stack automation system using AI at every touchpoint. The pipeline was built to learn, adapt, and optimize itself over time with minimal human intervention.

AI Lead Scoring Engine. We trained a predictive model on 18 months of historical data to score every inbound lead in real time. High-intent prospects were routed instantly to sales; medium-intent leads entered nurture sequences; low-quality leads were filtered out -- saving the team 20+ hours a week.

Personalized Onboarding Flows. We replaced the generic welcome drip with a dynamic, behavior-triggered email sequence. Each message adapted based on the user's actions: feature usage, login frequency, and engagement signals. Open rates jumped from 12% to 47%.

Automated Upsell Triggers. We built event-driven workflows that detected upgrade-ready signals -- hitting usage limits, inviting team members, exploring premium features -- and delivered perfectly timed upgrade nudges via email and in-app messaging.

Unified Dashboard. Everything funneled into a single command center built on our Ruby dashboard platform, giving the client real-time visibility into pipeline health, conversion rates, and revenue attribution.

From plateau to breakout growth

Within 6 months of deployment, every key metric moved dramatically. The AI pipeline didn't just optimize existing processes -- it fundamentally changed how the company acquires, activates, and retains customers.

The system now processes over 3,000 leads per month autonomously, requiring human intervention on fewer than 5% of cases. The client's sales team shifted from manual qualification to strategic conversations with pre-qualified, high-intent prospects.

Most importantly, the compounding effect of automated nurture and upsell sequences means growth is accelerating -- each month outperforms the last without additional headcount.

Key metrics

+312%
Revenue growth
47%
Email open rate
3,000+
Leads processed / mo
-85%
Manual qualification time
"
IX Ruby didn't just build us automations -- they built us a growth engine. Our pipeline runs itself now, and the numbers speak louder than anything I could say.
JM

James Mitchell

VP of Growth, CloudSync (Client)

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