LiveMass Ideation venture
Stackit.ai
Stackit.ai is a Mass Ideation financial product and the first full Agent Readiness case study.
Why it mattered
Financial products contain complex facts, fees, risks, and actions. Small inconsistencies can produce wrong answers or unsafe customer journeys.
Starting condition
A live product with information spread across the website, product experience, public interfaces, and operating systems.
The challenge
Make complex financial information easier for people and AI systems to understand and use safely.
What Mass Ideation built
Product workflows, knowledge structure, public interfaces, and ongoing agent-readiness tests.
System architecture
Canonical product facts
Website and documentation
Public data and tools
Permission-aware actions
Agent task tests
Before-and-after tests
Can an AI system explain the product accurately?
Can it find current fee and risk information?
Can a customer preview an action before approval?
Current results
A repeatable readiness review for a complex product
Clearer separation between public facts and protected actions
A live environment for ongoing agent tests
What remains unfinished
Continue cross-model testing
Expand monitoring as agent traffic becomes measurable
Publish only interfaces that create clear user value
Lessons
Clear facts come before new protocols
High-impact actions need approval and logs
Agent readiness is ongoing operations, not a one-time file