boost.ai vs. Yseop

We used it for the banking industry, and it's very well suited for credit unions. They had some basic intentions ready for the banking industry, which could be used easily without fuss, and technical knowledge required. Automation for various basic stuff was done in a few days, and the integration with the call center for the issues that could not be resolved from the chatbot was also very smooth and crisp.

Incentivized

Yseop is an excellent option if you are looking to analyze your data in a way that's easy to understand and interpret. There will be no more hours upon hours spent on interpreting confusing data. Instead, Yseop translates this data for your teams so they can focus on other higher priority tasks and less time trying to analyze data that just doesn't make sense.

Incentivized

• Conversational AI.
• Chatbot.
• Call center integration.

Incentivized

• Transforming and analyzing data, so we can understand it.
• Automating repetitive, mundane, and data-driven tasks.
• Creating complex workflows.

Incentivized

• Customer support.
• API integration.
• Pricing

Incentivized

• I think the software is mid-range level usability. For someone who's worked with this kind of software before, it's easy, but if someone is new to it, it could cause challenges.
• Could improve on constant advancement, especially in a world of changing technologies.
• Overall, the features are exactly what we need. More advanced features would be a plus.

Incentivized

Other products either lacked the integration we needed or were not having good customer support and longer execution time compared to Boost.ai.

Incentivized

• Reduced customer support cost by about 60%.
• Smooth integration with call center.

Incentivized

• Competitive intelligence.
• Increased revenue.
• Improved internal and external relationships.

Incentivized