A new way for software teams to convert legacy customer data.
01:03
Scouts: Automated Extraction
AI agents log in and extract data from customer platforms.
01:49
Curator: Data Transformation
AI-powered mapping, cleaning, validation, and bulk updates.
03:24
Early Access & Next Steps
How to get early access and speed up your onboarding process.
Transcript
00:00
Hey, I'm Vish and today I'm super excited to share Vern, the the new way for software implementation teams to convert legacy customer data.
00:07
Vern uses AI agents to automatically extract, remap and clean your new customers data in minutes so they don't get stuck doing the heavy lifting.
00:17
Here's how it works.
00:18
First we have Scouts.
00:20
Scouts are AI agents that log into your customers platforms, whether it's cloud based or even running on their on prem system and automatically extracts the data and files you need To send Scouts, all you have to do is send the customer a magic link from the Vern platform to login and authorize the Scouts.
00:47
Cool.
00:50
And once they're linked, just sit back and watch the agent extract the data and files as specified.
00:56
no CSV templates, no back and forth, no waiting for customers to find time.
01:01
Scouts do the heavy lifting for them.
01:03
Then comes Curator.
01:05
Once scouts have pulled in the data, Curator steps in to map and clean it.
01:09
Curator suggests optimal mappings based on the format your system expects We can see here it's automatically maps columns with the same name but also those with slightly different names like birth date and date of birth, job title and role.
01:22
We can also combine columns and split columns accordingly.
01:24
We can see that we've split this first name last name column into two separate columns and city, state and zip into three separate columns as well.
01:32
We can see a preview of the data and import it just how we need.
01:35
Once imported it also validates the cells based on your own set of AI and hard coded rules This means for fields like email, we can ensure that there are strict rules applied to ensure that all emails are valid.
01:51
but it also means for fields like location name, we can apply our own business logic.
01:56
Say we want it to just include a country name, not a city or state.
02:00
We can apply an AI rule to highlight cells that don't fit the description.
02:05
You can also make bulk updates to the data using natural language to infer new values or update existing ones.
02:15
and the result here is fully auditable customer aligned ready to import data with less surprises during QA checks.
02:23
Implementations shouldn't stall because of data migration.
02:26
With Vern, your customers get live faster and see the data that they expect in their new system.
02:31
That means less time spent chasing spreadsheets, faster revenue recognition and happier customers.
02:36
Today, I'm excited to announce that we're opening up Early Access.
02:39
If you want to see how Vern can speed up your onboarding process, visit our website at vern.so and book a meeting with me or my co founder Roupen.