Case study · Built by AvenOrbit Labs · B2B SaaS · AI customer intelligence
Tellstay
Customer-success software that pulls product usage, support activity and account context into one place, and uses AI to surface risk, opportunity and the next best action.
Status: In development. This is our own product, not a client engagement.
The problem
Why we built it.
Customer teams have signals spread across product analytics, support tools and CRM notes. Spotting an account at risk, or ready to grow, usually means someone stitching those together by hand.
Our approach
Tellstay brings those signals together per account, uses AI reasoning to explain what is changing and why it matters, and turns that into suggested actions inside the customer team's workflow.
Product and engineering
Unified signals
Product activity, support history and account context are connected to the same customer record instead of living in separate tools.
Product and engineering
AI reasoning with context
AI summarizes what is happening on an account and why, grounded in the account's own data rather than generic advice.
Product and engineering
From insight to action
The goal is not another dashboard: suggested next steps are designed to land where customer teams already work, with a person deciding what to do.
Why it matters for your project
The same engineering, applied to your workflows.
The same building blocks we use in client automation work: connecting several business systems, AI that reasons over company data, and agentic workflows with a human approving the action.
Get started
Have work worth automating?
Bring the workflow, problem or early product. We'll recommend a sensible first step and give you a fixed quote.