Ray Meiring on Practical AI for Proposal Workflows That Actually Move Revenue

Originally featured on TECHtonic: Trends in Technology and Services, hosted by Thomas Lah of TSIA.

Short summary

In this TECHtonic episode, QorusDocs CEO Ray Meiring joins TSIA Executive Director Thomas Lah to talk about where AI is already creating practical value for technology and services organizations. The conversation uses proposal and RFP workflows as a clear example of AI at work: not as a flashy experiment, but as a way to reduce manual effort, improve response quality, and help teams focus more time on strategy and customer value. Ray also shares how QorusDocs thinks about specialized AI, customer adoption, internal AI ownership, and the changing economics of SaaS as AI reshapes delivery models, pricing, and revenue growth.

Key takeaways

• Specialized AI is where the value shows up. Ray explains why proposal teams need AI built around real RFP and pitch workflows, not just a generic tool dropped into the process.

• Better responses start with better use cases. AI can help teams answer repetitive questions, identify requirements, flag risky language, and give people more time to improve the parts of a proposal that influence the win.

• Adoption requires trust and training. The episode highlights why AI success depends on clear workflows, quality data, governance, and helping teams understand when and how to use the tools.

• AI changes the operating model, not just the tech stack. Ray discusses why every department needs to own its AI strategy and why pricing, value selling, customer onboarding, and adoption roles are all evolving.

Featured insight

Ray’s central point is that AI delivers the most value when it is tied to a specific business workflow. For proposal teams, that means using AI to take on the repetitive, high-volume work so humans can spend more time on judgment, differentiation, and the customer story.

Listen to the full conversation on Apple Podcasts: TECHtonic: Boring AI That Wins Big in the XaaS World