There are several highly promising solutions in the industry but only a handful of these solutions deliver value, anywhere close to the promise made pre-implementation.
Ensuring UCU’s Intelligent Virtual Assistant is set up to start driving maximum value in the shortest possible time.
“The entire implementation process was very well planned and handled. We got a lot of value out of it as an organization.”
interface.ai set up a highly structured implementation journey to ensure UCU gets the maximum from their new IVA, Royce.
“The interface.ai team was very responsive across the entire process and the process was very well structured. It was a great learning experience for us and working with the interface.ai team, we were able to identify avenues that we could improve in our internal processes too.”
After an extensive vendor selection process, UCU chose interface.ai as its partner for Intelligent Virtual Assistant Technology
“I think the relationship between a vendor and a Financial Institution is very important and we at UCU have a great relationship with interface.ai. The interface.ai team is very understanding, quick to respond, and resolve any issues. This has made the overall process very enjoyable.”
“In our industry, service is key. We have worked with some of the largest vendors, but we have hardly come across vendors who provide white-glove services such as the ones provided by interface.ai. They are setting new standards in the industry and I hope they continue to scale the same standard of service.”
interface.ai worked with UCU to ensure the launch of Royce is successful & there is sufficient adoption of Royce among the UCU members
Areas interface.ai collaborated with UCU
“interface.ai’s support across all the launch activities were valuable & much appreciated.”
interface.ai ensures Royce is continuously improving through ongoing training and knowledge updates.
Updates to Machine Learning algorithms happen every day based on data gathered from customer interactions
The AI system gets trained every week for any new scope based on member interactions
Collective learning – In our AI systems, learning occurs across multiple implementations to be able to answer the most questions that are not asked by customers yet
If UCU wishes to make any updates to the knowledge base, the request is processed within a 12 hour period
“The team at interface.ai does an excellent job on training & ensuring Royce is up to date. The team regularly shares reports on the current state of Royce and what we can look forward to.”
interface.ai ensures Royce is continuously improving through ongoing training and knowledge updates.
“We have data now on what our members are asking – rather than just anecdotal information on what the members are looking at. That has been beneficial to make our products and services better.”
ROI Benchmarking
On-going evaluation of ROI
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