
Context
AI SaaS product · Customer app + operations console
The business problem
An AI demo is not a business. The conversation, the account, the trial limit, the payment, the consent record and the people who operate it all have to work as one product.
Previous / manual process
An AI demo is not a business. The conversation, the account, the trial limit, the payment, the consent record and the people who operate it all have to work as one product.
Desired outcome
Customers sign up, try the AI, subscribe and manage their own data — while the business runs it from an admin console instead of by hand.
The solution
System designed
A full AI SaaS: a customer app in three languages with accounts, trial limits, subscription and consent controls — plus an operations console for activation, subscriptions, AI cost, system health and support lookups.
What was delivered
A full AI SaaS: a customer app in three languages with accounts, trial limits, subscription and consent controls — plus an operations console for activation, subscriptions, AI cost, system health and support lookups.
How it works
Step 1
An AI demo is not a business. The conversation, the account, the trial limit, the payment, the consent record and the people who operate it all have to work as one product.
Step 2
A full AI SaaS: a customer app in three languages with accounts, trial limits, subscription and consent controls — plus an operations console for activation, subscriptions, AI cost, system health and support lookups.
Step 3
A complete AI SaaS is standing: the customer journey from first trial question to paid subscription and self-managed data, and the operator side that runs it — activation, subscriptions, AI cost, system health, support lookup and an append-only audit trail. Development continues against a working product, not a specification.
A complete AI SaaS is standing: the customer journey from first trial question to paid subscription and self-managed data, and the operator side that runs it — activation, subscriptions, AI cost, system health, support lookup and an append-only audit trail. Development continues against a working product, not a specification.
A complete AI SaaS is standing: the customer journey from first trial question to paid subscription and self-managed data, and the operator side that runs it — activation, subscriptions, AI cost, system health, support lookup and an append-only audit trail. Development continues against a working product, not a specification.
Key capabilities
Visual walkthrough
Screens from the real product.


Building something similar?
Tell me what you want to launch and I'll come back with the scope, the fastest realistic MVP and a first launch path.
