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From Silos To Systems: Cross-Enterprise AI With R4
Interested in being a guest? Email us at [email protected]
What if your enterprise could make the right decision, across every silo, in real time? We sit down with Paul Breitenbach, Founder & CEO r4 Technologies, to unpack how predictive AI goes beyond generative tools and actually drives outcomes: higher revenue, lower costs, and fewer bad events across the board. Paul explains why cross-enterprise management matters now, how it automatically pulls data from legacy systems, and how it sends decisions back without ripping anything out.
We walk through tangible examples that make the strategy real. In supply chain, predictive logistics ensure the right product hits the right shelf at the right time and price. In security operations, microlocation and environmental signals re-route guards on the fly, cutting incidents by 50 percent. And in a powerful “tech for good” case, R4’s Smart Food program identifies surplus food and matches it to SNAP demand, effectively doubling or tripling buying power while reducing waste—turning a national problem into a solvable coordination challenge.
Trust and adoption come from transparency and speed. Paul shows how confidence scores, explainability, and human-in-the-loop controls help leaders move from gut feel to measurable, auditable decisions in days, not quarters. We also explore what’s next: a more intuitive V5 interface, tackling higher-complexity domains like healthcare and energy transition, and why 2025 could be the tipping point where predictive AI becomes the enterprise standard.
If you enjoyed this conversation, subscribe, share it with a colleague wrestling with silos, and leave a review to help others find the show. What cross-enterprise challenge do you want AI to solve next?
Support the show
More at https://linktr.ee/EvanKirstel
View all episodes
By Evan KirstelInterested in being a guest? Email us at [email protected]
What if your enterprise could make the right decision, across every silo, in real time? We sit down with Paul Breitenbach, Founder & CEO r4 Technologies, to unpack how predictive AI goes beyond generative tools and actually drives outcomes: higher revenue, lower costs, and fewer bad events across the board. Paul explains why cross-enterprise management matters now, how it automatically pulls data from legacy systems, and how it sends decisions back without ripping anything out.
We walk through tangible examples that make the strategy real. In supply chain, predictive logistics ensure the right product hits the right shelf at the right time and price. In security operations, microlocation and environmental signals re-route guards on the fly, cutting incidents by 50 percent. And in a powerful “tech for good” case, R4’s Smart Food program identifies surplus food and matches it to SNAP demand, effectively doubling or tripling buying power while reducing waste—turning a national problem into a solvable coordination challenge.
Trust and adoption come from transparency and speed. Paul shows how confidence scores, explainability, and human-in-the-loop controls help leaders move from gut feel to measurable, auditable decisions in days, not quarters. We also explore what’s next: a more intuitive V5 interface, tackling higher-complexity domains like healthcare and energy transition, and why 2025 could be the tipping point where predictive AI becomes the enterprise standard.
If you enjoyed this conversation, subscribe, share it with a colleague wrestling with silos, and leave a review to help others find the show. What cross-enterprise challenge do you want AI to solve next?
Support the show
More at https://linktr.ee/EvanKirstel