Co Founder at a media company with 10,001+ employees
Real User
Top 20
Dec 23, 2025
When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity. We have to map the process to whatever is available, and the bidirectional integration is missing. If we have another agent coming from another tool and we are using it, integration is very difficult. Price is an issue because when we go with AI, we are getting more efficiency. Comparatively to other tools, it is on the higher side. However, we do not consider the price point when we choose this kind of tool for banking. We go for the compliance side, license feasibility, and other factors. Pricing is high in the market, but we are not in pricing mode. We see other advantages where we can use license solutions that can be used in the majority of cases. We give business-as-usual support to the customer, so we bring in the cost to our bandwidth and do not charge the customer. There are many combinations we employ. Additional features I would like to see in the future include faster learning capabilities. For single use cases, we require multiple agentic AIs. If we could combine them into one and do the decision-making with a single price, that would be better. Currently, for each specific condition, we use one agentic AI and then combine another agentic AI on top of it that controls all the conditions. This creates a complex situation, but if it were simplified, it would be good.
When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity. We have to map the process to whatever is available, and the bidirectional integration is missing. If we have another agent coming from another tool and we are using it, integration is very difficult. Price is an issue because when we go with AI, we are getting more efficiency. Comparatively to other tools, it is on the higher side. However, we do not consider the price point when we choose this kind of tool for banking. We go for the compliance side, license feasibility, and other factors. Pricing is high in the market, but we are not in pricing mode. We see other advantages where we can use license solutions that can be used in the majority of cases. We give business-as-usual support to the customer, so we bring in the cost to our bandwidth and do not charge the customer. There are many combinations we employ. Additional features I would like to see in the future include faster learning capabilities. For single use cases, we require multiple agentic AIs. If we could combine them into one and do the decision-making with a single price, that would be better. Currently, for each specific condition, we use one agentic AI and then combine another agentic AI on top of it that controls all the conditions. This creates a complex situation, but if it were simplified, it would be good.