Health scoring with explainable signals
Healthier accounts, smaller CSM books.
The sprint promiseAI that watches every account, surfaces the at-risk ones, and drafts the outreach that saves the renewal.
What we build
Health scoring with explainable signals
QBR prep automation
Renewal risk alerts with suggested plays
Onboarding personalization by ICP
Voice-of-customer synthesis from tickets and calls
How we tackle it
01
We align on one workflow, baseline the current process, and confirm a measurable target before any code is written.
02
We map where AI assists humans, where approvals live, and what data needs to be trusted before the model sees it.
03
We implement against your stack, test on real scenarios, and harden prompts, guardrails, and handoffs.
04
Production deploy, live monitoring, and a full runbook handed to your team so the capability compounds internally.
Ready to ship?
Tell us what you want to fix and we'll come back with a scope your team can greenlight in one meeting.
Start a project →Customer Success / FAQ
Two weeks from kickoff. Our AI Sprint puts a working version of one workflow — usually one of Customer Support, Workflow Automation, Internal Knowledge — into production by Day 10. AI that watches every account, surfaces the at-risk ones, and drafts the outreach that saves the renewal.