— Persistent Intelligence for Companies
For CTOs, heads of AI and product leaders building AI that has to understand customers, accounts or ongoing work over time.
Tell us where your AI loses the thread →
We take on a small number of defined deployments at a time.
Before context is updated
I’m sorry you’re still having trouble with onboarding.
After
Glad onboarding is resolved. Let’s look at your billing question.
Customer: “Onboarding is fixed. I have a billing question now.”
Same customer, same message. The reply changes when the AI knows onboarding was fixed.
— An example: a customer-success AI.
Before context is updated
Customer
Onboarding is fixed. I have a billing question now.
AI
I’m sorry you’re still having trouble with onboarding.
After context is updated
Customer
Onboarding is fixed. I have a billing question now.
AI
Glad onboarding is resolved. Let’s look at your billing question.
Onboarding: resolved · Next: billing question
The same message, answered before and after the AI’s understanding is updated.
MONDAY
At risk
Onboarding fails. The customer may cancel.
Current: onboarding unresolved
TWO WEEKS LATER
Recovering
Onboarding is fixed. The earlier risk remains part of the account’s history.
Updated: onboarding resolved
THREE MONTHS LATER
A new issue
The AI handles the new concern with the earlier relationship in mind.
Current: a different problem
Today’s state changes. The history stays.
Saving the sentence is easy. Knowing what still matters is harder.
— First engagement
Start by finding where it breaks.
Before we build, we define what your AI needs to keep knowing, what should change over time, and where that understanding breaks today. We call this the Persistent Intelligence Assessment.
What we agree with your team: one representative workflow, appropriate sample conversations or events, the people involved and the handling of any data needed for the assessment.
Assess. Define what must stay known and where it breaks.
Deploy. Build the agreed capability into your product, against a scope fixed up front.
Run. Put it into real use, with operational ownership, support and documentation agreed before launch.
Fixed scope. Fixed fee, agreed before work begins.
One workflow. Four defined outputs.
01 What must stay known
The customer, relationship or ongoing work.
02 Where it breaks
Where understanding becomes stale or gets lost.
03 Where OA fits
The connection to your existing model, data and product.
04 What we will build
A deployment scope agreed with your team.
A working session on one workflow. A sample of the Assessment’s four outputs.
— How it fits
Your product, model, data, tools and engineers stay. OA adds the Persistent Intelligence capability around what already works.
A defined engagement with a clear finish line, not open-ended consulting.
What happened
Your existing product
Product context and events
events in ↓
What’s still true
OA · Persistent Intelligence
Understanding kept and updated
understanding back ↓
Your AI’s next reply
Your existing AI product
Your model and tools stay
One added layer. Your product, model and data stay. The integration is defined with your engineers.
Send us the product, what it needs to keep understanding, and where it breaks today.
Tell us where your AI loses the thread →
You describe the workflow and where understanding goes stale. We respond personally and discuss whether a defined Assessment makes sense.