How Responsive's AI-powered strategic response management boosts business efficiency
Because artificial intelligence identifies patterns and delivers insights faster than humans, AI-powered strategic response management can enhance decision-making, improve efficiency and help organizations tackle challenges with greater precision.
RFPIO Inc. (d/b/a Responsive), is leveraging this technology to strengthen competitiveness, improve risk management and drive operational efficiency, according to Ganesh Shankar (pictured), co-founder and chief executive officer of Responsive.
"Responsive is AI-powered [and] what we call the strategic response management platform, help[s] customers to be responding to any sort of inquiries that they get, such as [requests for proposals, requests for information], security questionnaires [and environmental, social and governance] questionnaires -- any type of inquiries that they get to get a deal done or to establish a relationship," Shankar said. "With AI, we help fine-tune the message around how they are communicated to the outside world. In a nutshell, Responsive is the AI-powered platform helping customers to respond to various business impact inquiries."
Shankar spoke with theCUBE's Rebecca Knight for the Tech Innovation CUBEd Awards 2025 interview series, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed why Responsive is in high gear to offer AI-powered strategic response management.
How humans fit into the AI-powered strategic response management picture
Keeping human input in AI-powered strategic response management is crucial for bias mitigation, contextual understanding, creativity, ethical decision-making and innovation. As a result, Responsive adheres to this call, Shankar pointed out.
"Fundamentally, we keep humans in the loop," he said. "Not everything can be done by AI, unless you have the raw content, right? Let's assume I'm asking for a product overview. The product marketing person can give the raw content. Responsive AI can finesse it. You can prompt like, 'Okay, I want this tone. We want to be in active voice. Don't go in passive.' We bridge the gap between humans in the loop or subject matters in the loop, leveraging AI expertise to fine-tune that."
Given that AI evaluates the sentiment and context of content to ensure it matches user intent, this cutting-edge technology streamlines the accessibility of information. As a result, Responsive uses AI for context analysis, according to Shankar. For its innovations, Responsive received a CUBEd "AI-Top AI-enabled Product, Go-to-market (GTM) - sales, marketing, revenue" award.
"The problem now we are seeing, especially in this AI world, is there's too much content," he said. "That's what we call knowledge dystopia. Our sellers, or what we call field members, have so much information, and on top of it, AI is generating a lot of content. So which one to use? Which content is the right content? Which content is approved content? That's where Responsive AI comes into [the] picture."
Leveraging AI to boost proposal response efficiency can significantly improve speed, accuracy and customization. This improvement is based on various processes, such as template automation, sentiment analysis and dynamic content adaptation, according to Shankar.
"We have noticed in terms of timing, when you get a question, whether it's an RFP question or an email, it takes almost about 25 to 30 minutes to find the right content," he said. "Again, not a simple yes or no. Adding our AI on top of our existing platform ... they've reduced from almost 35 minutes to 12 minutes. That's a 65% efficiency gain in just that process alone. You can extrapolate that with multiple inquiries that you're getting. It's a massive [return on investment] for our customers."
Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage for the Tech Innovation CUBEd Awards 2025 interview series:
