For SaaS Companies

Your ops team is the bottleneck, not your product

AI automation for SaaS companies — streamline customer onboarding, reduce churn with proactive workflows, automate support escalation, and turn usage data into action. Delivered in weeks.

Talk to us → Calculate your ROI →

The Problem

You're scaling users but not the team to support them

SaaS companies hit the same ceiling: onboarding is manual, churn signals go unnoticed until it's too late, support tickets pile up, and the ops team spends more time on process than product. The irony? You sell software that automates things — but your own workflows are duct tape and spreadsheets.

🎯

Manual Customer Onboarding

~45 min per new customer, manual setup

Welcome emails sent manually. Account configuration done by hand. Product tours that don't adapt to the customer's use case. By the time your customer is set up, they've already lost momentum.

📉

Invisible Churn Signals

Average SaaS loses 5–7% monthly on SMB plans

Usage drops. Login frequency falls. Feature adoption stalls. By the time your CS team notices, the customer has already decided to leave. Churn prevention requires action at the first sign — not the last.

🎫

Support Ticket Overload

40% of tickets are repetitive questions

Password resets, billing questions, "how do I" requests — your support team answers the same 20 questions every day. Tier 1 support eats time that should go to complex issues and customer relationships.

📊

Data Rich, Action Poor

Usage data exists but doesn't drive workflows

You track everything — logins, feature usage, NPS scores, support interactions. But turning that data into triggered actions (outreach, alerts, upsell opportunities) requires someone to check dashboards manually. Nobody does it consistently.

40%
Reduction in Tier 1 support volume
Faster customer onboarding
$92K
Annual savings (50-customer CS team)
4–6
Week implementation timeline

What We Automate

Four automations that scale your ops without scaling your team

Built for B2B SaaS companies with 50–5,000 customers. Integrates with your existing stack.

1

Automated Onboarding Engine

45 min manual → 5 min hands-off

New customer signs up → account configured automatically based on plan tier and use case. Personalized welcome sequence triggers. Product tour adapts to their stated goals. Setup checklist tracks progress and nudges completions. CS team only steps in when the customer is stuck — not for every new account.

Stripe Intercom HubSpot Slack Your App API
2

Churn Prediction & Intervention

Catches at-risk accounts 3–4 weeks earlier

Usage patterns, login frequency, support ticket sentiment, NPS scores — combined into a health score that updates daily. When an account drops below threshold, automated workflows trigger: personalized check-in email, CS alert in Slack, and a suggested action based on what's changed. No more guessing who's about to leave.

Mixpanel Amplitude Segment Slack CRM
3

Smart Support Routing

Resolves 40% of Tier 1 tickets automatically

Incoming tickets classified by topic, urgency, and customer tier. Common questions auto-resolved with contextual answers pulled from your docs. Complex issues routed to the right specialist — not just the next available agent. Priority customers get priority treatment automatically.

Zendesk Intercom Freshdesk Help Scout Slack
4

Usage-Triggered Workflows

Turns passive data into proactive action

Customer hits a usage milestone → trigger an upsell conversation. Feature adoption stalls → send a targeted how-to sequence. Trial user completes setup → fast-track to sales. Your usage data already tells the story — this automation acts on it, automatically and consistently.

Segment Mixpanel Salesforce Email Slack

The math behind SaaS operations

$92K+

A 50-customer CS team spending 30% of time on manual onboarding + repetitive support costs ~$92K/year in labor. Automating Tier 1 support and onboarding recovers that — or lets your CS team handle 2× the accounts without burnout.

The Shift

What changes in week one

Before

  • 45 minutes to onboard each new customer manually
  • Churn detected at cancellation, not at first usage drop
  • Support team answers the same 20 questions every day
  • Usage data sits in dashboards nobody checks consistently
  • CS team spreads thin across all accounts equally
  • Upsell conversations happen by accident, not by signal

After

  • New accounts self-onboard with personalized, automated setup
  • At-risk accounts flagged 3–4 weeks before cancellation
  • 40% of Tier 1 tickets auto-resolved, rest routed to specialists
  • Usage events trigger real workflows — outreach, alerts, actions
  • CS team focuses on high-value accounts and expansion
  • Upsell and expansion conversations triggered by usage milestones
"We went from losing 6% monthly on our starter plan to 3.5% in the first quarter. The churn prediction caught accounts we'd never have noticed manually. And our support team actually has time for the complex stuff now."
Head of Customer Success, B2B SaaS · 800 customers, 12-person CS team
Illustrative — real client stories coming soon

Simple, fixed pricing

No per-seat fees. No usage surprises. You know the cost before we start.

Starter
$2,500
One workflow automated. Perfect for starting with onboarding automation or support routing.
Growth
$7,500
2–3 connected workflows. Onboarding + churn prediction + support routing.
Enterprise
Custom
Full ops automation including usage-triggered workflows, multi-product support, and custom integrations.
Get a quote →

Process

Live in 4–6 weeks

We integrate with your existing tools. No platform migration required.

1

Discovery (Week 1)

We audit your customer journey, map ops bottlenecks, and review your tech stack. You get a written scope with exactly what we'll automate, what it costs, and the expected impact on retention and support volume.

2

Build (Weeks 2–4)

We build the automations, integrate with your tools (CRM, support, analytics, billing), and configure for your customer segments. Weekly updates so you see real progress — not slide decks.

3

Test (Week 5)

Automation runs in parallel with your current process. Your team compares results, we catch edge cases, and everything is validated with real customer data before go-live.

4

Launch (Week 6)

Go live. Team trained on new workflows. Full documentation delivered. 30 days of support included to smooth the transition and tune the automations based on real usage.

Your product scales. Your ops should too.

Let's automate the repetitive work so your team can focus on what actually moves the needle — customer success and product growth.

Email Alex → Calculate your ROI →