Predict Churn Before It Happens
For every customer you lose, you need 5-7 new ones to replace the revenue. AI customer success predicts churn 90 days in advance and automates the outreach that saves accounts.
Customer Health Dashboard
Live Demo82
Health Score
The Silent Revenue Leak You Cannot Afford to Ignore
Australian SaaS companies lose 10-15% of revenue to preventable churn annually. By the time a customer announces they are leaving, it is usually too late. The signals were there months earlier.
5-7x
cost to acquire a new customer vs retaining one
90 days
of warning signals before churn actually happens
73%
of churned customers say "nobody checked in"
$2.4M
average annual revenue lost to preventable churn (mid-market)
Proactive Customer Success, Powered by AI
Stop being reactive. AI monitors every customer signal 24/7 and tells you exactly who needs attention, why, and what to do about it.
Health Scoring Engine
Every customer receives a real-time health score calculated from product usage, support interactions, relationship strength, financial signals, and sentiment data. Scores update continuously and trigger automated workflows when thresholds are crossed — no more quarterly health checks that miss fast-moving risks.
Usage Analytics & Adoption Tracking
Track feature adoption, daily/weekly/monthly active usage, workflow completion rates, and time-to-value metrics per customer. The AI identifies which features drive retention and which customers are underutilising key capabilities — surfacing targeted training opportunities before dissatisfaction sets in.
Sentiment Analysis
AI analyses every customer touchpoint — support tickets, emails, call transcripts, NPS responses, and social mentions — to build a real-time sentiment profile. It detects frustration escalation before it becomes a formal complaint, catches competitor mentions, and identifies champions whose enthusiasm can be leveraged for referrals.
Automated Check-Ins & Playbooks
AI triggers personalised check-in emails, QBR scheduling, training invitations, and celebration messages (milestones, anniversaries) automatically. Each touchpoint is contextualised — the AI references specific usage data, recent support interactions, and upcoming renewal dates. Your CSMs focus on the conversations that need a human touch.
Expansion Signal Detection
Not all signals are negative. The AI identifies expansion opportunities: teams exceeding seat limits, power users requesting advanced features, departments within a company who would benefit from the product. These signals are routed to your sales team with recommended expansion offers and pricing — turning CS into a revenue-generating function.
NPS & CSAT Automation
Automated survey deployment at optimal times (post-onboarding, post-resolution, pre-renewal). The AI identifies which customers to survey and when, maximising response rates. Detractors trigger immediate alerts and save playbooks. Promoters trigger referral and case study requests. All scores feed back into the health scoring engine.
Churn Risk Predictor
Select the signals you are observing from a customer to see their churn risk score and recommended action plan.
AI Customer Success Across Industries
Any business with recurring revenue benefits from proactive customer success. Here is how different industries leverage AI.
B2B SaaS
SaaS companies with 200-5,000 customers use AI to monitor product adoption, predict churn at renewal, identify expansion revenue, and automate QBRs. Average NRR improvement: 18-25%. The AI correlates feature usage with renewal likelihood to prioritise CSM effort.
Professional Services
Consulting firms, accounting practices, and law firms use AI to monitor client satisfaction across engagements, detect relationship decay between projects, and identify cross-selling opportunities. Client relationship longevity increases 2.3x with AI-driven proactive engagement.
Subscription Commerce
Subscription boxes, meal kits, and recurring commerce businesses use AI to predict skip/cancel behaviour, optimise delivery cadence, and personalise retention offers. Subscription businesses report 22-35% reduction in voluntary churn within 90 days of deployment.
HealthTech & MedTech
Health technology providers monitor clinical workflow adoption, track user training completion, and ensure ongoing compliance engagement. Patient outcome correlation drives renewal conversations. AI identifies clinics at risk of switching to competitor platforms.
EdTech & Learning
Online education platforms track learner engagement, course completion rates, and institutional adoption metrics. AI predicts which institutions will expand licences and which are at risk of non-renewal based on student usage patterns and administrator engagement.
Financial Services
Fintech and banking platforms monitor customer product utilisation, transaction volumes, and support friction. AI detects customers comparing competitor rates, identifies cross-sell timing (home loan after savings goal met), and automates compliant retention communications.
Revenue Protection That Pays for Itself
85%
Churn Prediction Accuracy
90 days before renewal with 85% accuracy
3-5x
CSM Capacity Multiplier
Each CSM effectively manages 3-5x more accounts
15-25%
NRR Improvement
Net revenue retention increase within 6 months
48 hrs
Intervention Speed
From risk detection to proactive outreach
From Data to Decisions in 30 Days
Step 1: Connect Your Data Sources
We integrate with your CRM (Salesforce, HubSpot), product analytics (Mixpanel, Amplitude, Pendo), support platform (Zendesk, Freshdesk, Intercom), and billing system (Stripe, Chargebee). Historical data is analysed to establish baselines and identify your unique churn patterns.
Step 2: Build Your Health Model
The AI builds a custom health scoring model based on your data. It identifies which signals correlate with churn and retention in YOUR business specifically — not generic benchmarks. You review and refine the scoring weights to match your business priorities.
Step 3: Supervised Recommendations
AI generates health scores, churn predictions, and recommended actions for your CSM team to review. Your team provides feedback on accuracy and relevance — each correction improves the model. Most teams report high trust by end of week 3.
Step 4: Automated Playbooks Go Live
Automated check-ins, risk alerts, expansion triggers, and NPS surveys activate. Your CSMs receive prioritised daily action lists driven by AI insights. The system runs continuously, learning and improving from every customer interaction and outcome.
Frequently Asked Questions
Everything you need to know about AI-powered customer success.
Stop Losing Customers You Could Have Saved
Every week without AI customer success is another week of invisible churn signals going undetected. Start predicting and preventing churn today.