Stop watching trial users ghost you and churn signals slip through the cracks
Your team manually tracks trial activity, chases at-risk accounts in spreadsheets, and routes support tickets by gut feel. We build systems that do it automatically - so your team can focus on the product, not the plumbing.
Guaranteed results. Always.
We agree on specific targets before starting. If we don't hit them, we work for free until we do. No time limit.
We've never had to invoke this
The problem
Your team is scaling headcount instead of scaling systems
Every new customer means more onboarding tasks, more support tickets, more billing edge cases, more feature requests to triage. Your operations team grows linearly with your customer base because the processes connecting your tools are held together with Zapier chains and manual workarounds. Your engineers want to build product, but they spend 30% of their time on internal tooling and integration maintenance. The SaaS companies that win are the ones where operations scale without headcount.
What changes
Everything that slows you down goes away
Automated onboarding sequences
Behavior-triggered emails and in-app nudges based on actual product usage. Users who haven't hit activation milestones get targeted help. Generic drip campaigns replaced with sequences that adapt.
Churn signal detection
Usage patterns, support sentiment, and engagement data combined into a real-time health score. At-risk accounts flagged and routed to your CS team before the customer even thinks about leaving.
Smart ticket routing
Incoming tickets classified by type, urgency, and customer tier automatically. Billing goes to billing, bugs go to engineering, enterprise customers get priority. No manual triage needed.
Renewal and expansion workflows
Upcoming renewals flagged with usage context. Expansion opportunities identified based on feature adoption and seat utilization. Your account team walks in prepared, not guessing.
AI that ships
We know what's hype. We build what's real.
Everyone's adding AI to their pitch deck. We've been shipping production AI systems since before the hype. We know which models actually work, which integrations hold up at scale, and which ones are just expensive demos.
90% of AI projects fail in production. Ours don't.
The difference isn't the model - it's the system around it. We build AI with proper error handling, fallback logic, human-in-the-loop checkpoints, and monitoring. It works on day one and keeps working on day 300.
Custom AI Agents
Purpose-built agents that handle the decisions your team makes 50 times a day. Not chatbots - autonomous systems that take action.
Document Intelligence
AI that reads, classifies, and extracts from contracts, invoices, and applications. Not keyword matching - actual comprehension.
Predictive Systems
See problems before they happen. Forecast demand, flag anomalies, and surface patterns your team would miss manually.
Plain English Interfaces
Your team talks to your systems in plain English. Pull reports, update records, trigger workflows - no training needed.
We pick the right AI for the job. Not the most hyped one.
Large language models for reasoning. Vision models for document extraction. Fine-tuned open-source models when you need speed and control. We're model-agnostic because your results matter more than any vendor relationship.
How it works
From audit to running system in 8 weeks
A clear, phased engagement. Not a black box.
Week 1-2
Discovery
We map every manual process, identify the highest-ROI automation opportunities, and define specific measurable goals before we build anything.
Week 3-6
Build
Weekly demos, iterative development. You see progress every week, not a big reveal at the end. We build in your environment with your real data.
Week 7-8
Test & Train
Your team tests everything. We document every system and run parallel processes so nothing breaks during transition.
Week 9+
Deploy
Phased rollout with rollback plans. Automated monitoring and alerts. We know when something breaks before you do.
Behind the build
See how we actually build these systems
A walkthrough of a real automation architecture - what connects, how data flows, and what the before & after looks like.
Julius Forster
Founder, Moonira
How we compare
Every alternative breaks in the same place
You've probably considered hiring someone, buying a tool, or contracting a dev shop. Here's what actually happens with each.
Common questions
We work with Stripe, Intercom, HubSpot, Segment, Mixpanel, Zendesk, Linear, and most major SaaS tools. If it has an API or webhook support, we can connect it into your automation stack.
Typically 2-3 weeks. We start with the highest-impact workflow - usually onboarding sequences or churn detection - so you see results fast before we tackle the rest.
Pricing is flexible, based on project scope and the value we project for your business. You never pay upfront - payment starts when you've seen results. We agree on measurable targets together, and if we don't hit them, we keep working for free until we do.
Yes. We build alongside your current setup and migrate gradually. We run parallel sequences during transition so nothing breaks and no leads fall through the cracks.
All systems include automated monitoring. We know when something breaks before you do. Business hours response: 4 hours. Critical failures: 2 hours, any time.
Yes. Full ownership - workflows, documentation, everything. If you ever want to bring it in-house, you have everything you need.
Get in touch
Let's talk about what automation can do for you
Tell us what's on your mind and we'll get back to you with honest, specific ideas. No generic pitch decks.
Julius Forster · responds personally within 10 minutes