There's a pattern we hear often from Variphy customers. A voice engineer who has been on the platform for two years tells us they've never built a custom widget. A new customer spends half an hour exploring and decides they'd rather come back when they have more time to dig in. A contact center manager runs the same three reports every week, mostly because those are the ones they know best.
The depth of the platform is something customers consistently appreciate, but the challenge of having such a deep platform is reaching mastery.
Customers who have built up fluency with the UI tend to describe it in similar terms. Power users can build the widget they need without thinking about it, and they can pull the report their director is going to ask for before the meeting starts. They can spot a trend in a hunt group queue and have a dashboard up to confirm it inside of a few clicks.
The platform is built to answer questions other tools cannot, and the customers who reach that fluency get a lot out of Variphy. The customers who do not have the time to reach it get less than they could.
Customers usually know what they're looking for. What slows them down is knowing where it lives, which filters to apply, and which view to build to get there.
A voice engineer who wants to see abandoned calls from yesterday knows exactly what they want. Getting it on the screen means opening the right view, setting the right date range, applying the right filters, and sorting the right columns. A contact center manager who wants a hunt group performance widget knows what the widget should show. Building it means learning how widgets are configured. The work between the question and the answer is the part that takes time, and time is the thing most IT and ops teams have the least of..
But what if you didn’t have to click through the UI to get what you want? What if the way in was a question, not a screen?
Colleen AI Assistant is a natural language interface layered into the Variphy application. Instead of navigating menus, configuring filters, or clicking through to the right view, users prompt the platform in plain language.
Show me all abandoned calls from yesterday.
Build me a widget for hunt group performance.
Who hasn't logged in this month?
Every report, widget, dashboard, and administrative function Variphy customers already rely on is still where it has always been. Colleen is not replacing the UI; it sits alongside our analytics and reporting features, giving users a different way to reach the work they came to Variphy to do.
For power users, AI Assistant is a way to reach more of the platform they already own. The investment they made in Variphy doesn't stop returning value when they hit the limit of what they have time to learn.
For newer customers, it’s a faster path to first value. They don’t have to worry about not having enough time to learn the platform; They can ask a question in their first hour and get a real answer back, instead of spending that hour figuring out where to click.
For MSPs running Variphy on behalf of customers, AI Assistant lowers the bar for who on a customer team can usefully interact with the platform. A frontline manager who would never sit down with the full UI can still ask Colleen a question and get back something useful.
From call history search to widget building to user administration, AI Assistant is being built to handle the work Variphy customers already do every day.
The Colleen AI Assistant pilot opens May 26. Call history search is the first capability landing in the pilot, with more rolling in during the program. Learn more about AI Assistant.
Updated on
May 21, 2026
Published on
May 21, 2026
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