What is our primary use case?
The main use case I have for Verint Open Platform is the use of AI, both to handle the coaching part and real-time validation of what happens on the call with alerts to the supervisor when something is going wrong, as well as in the Speech Analytics with AI part, where I can have data close to what is happening in near real-time. I can also ask open questions to the AI based on everything that has been transcribed, and thus have more certainty about what is happening in my contact center.
One of the use cases, for example, is activation in the healthcare area when the customer is dissatisfied and is going to open some kind of proceeding, for instance against the company, or a NIP proceeding from the Ministry of Health. The tool automatically generates an alert for the supervisor, notifying that there is a call that tends toward a proceeding, allowing the company to act in a more proactive way.
What is most valuable?
This greatly reduced the number of cases and proceedings opened with the National Health Agency, significantly optimizing the time of those who did this analysis before, very manually. Today they already receive this proactively and can act in a much more assertive way with these customers and agents.
There are a few features that I consider the best, one of them being this sentiment analysis, not only on the customer side but also an analysis of how the service is on the agent's side, giving a customer experience view and a pro experience view. You can have an overall picture to catch cases of burnout, for example, to intervene so that agents take a break or have a conversation to ensure they provide quality service.
I actually sell Verint Open Platform, and the customers who had this type of solution saw gains. For example, with the solution, especially Speech Analytics with AI, they had a reduction in the number of proceedings the company received. The companies that implemented the Quality Bot saw operational gains, an increase in NPS, an improvement in quality, and more assertiveness in identifying which agents were not performing at their best.
Broadly speaking, I can share that these customers had a reduction in the number of people doing manual evaluation. The NPS figure saw an increase of about twenty percent for the Quality Bot part, and the number of proceedings decreased using Speech Analytics with AI.
What needs improvement?
Points for improvement in Verint Open Platform are in terms of giving more autonomy to the end customer in terms of some features, which is already on the roadmap. Broadly speaking, the tool is very good as it is today.
Support leaves a bit to be desired, and I think it is an area for improvement that Verint has in the support part.
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
Which solution did I use previously and why did I switch?
These were the first solutions we used with AI for these customers.
How was the initial setup?
Everything was acquired through Avaya, Verint's partner.
What about the implementation team?
We are their partners and resellers with an OEM solution to resell within Avaya together with Avaya solutions.
What was our ROI?
I would advise them to do a return-on-investment study together with Verint, as many of these tools make it easy to demonstrate this to the customer. Verint has some packages, like a try and buy, where you can use the tool for three months to show and see the results.
What's my experience with pricing, setup cost, and licensing?
I do not have those numbers with me right now, but the experience, as I am the vendor and not the end customer, indicates that many times we have to be aggressive on discounts because of competition. For platforms where you can demonstrate a higher return on investment, it is easier to sell at a higher added value.
Which other solutions did I evaluate?
For these customers, we were competing with Genesys and NICE.
What other advice do I have?
Our customers use Verint Open Platform both in the public cloud and on-premises. The customers who are on-premises now, we are migrating all of them to the public cloud, so the trend is that everything goes to the public cloud, while we have both environments.
I believe Verint Open Platform is an excellent tool, but like every tool, there is always something to improve and something to progress. In terms of perfection, I believe that to reach a ten, you need a one hundred percent platform, and I think nine is excellent. I would rate this review a nine overall.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)