RiskFootprint™, a leading provider of parcel-level hazard and climate intelligence, has announced the launch of RiskFootprint™ + Microsoft Copilot, a new workflow that delivers instant, defensible hazard and climate summaries from any RiskFootprint™ report. The integration pairs RiskFootprint™’s peer-reviewed, multi-agency hazard intelligence across 34+ natural hazard categories with Microsoft Copilot’s AI reasoning layer to produce a clear, auditable narrative for buyers, lenders, underwriters, and architecture and engineering consultants, all in seconds.
The output includes three components: a concise summary of the full RiskFootprint™ hazard report, a 20-year hazard and disaster history at the county level, and high-level resilience recommendations, generated in approximately 90 seconds and delivered on top of the underlying report. According to Albert Slap, founder of RiskFootprint™, “RiskFootprint™ reports are not complex. Now, with the Copilot AI reasoning layer, our clients have a solid and understandable executive summary to help them accelerate decision-making processes.”
The workflow is designed specifically for high-stakes, regulated environments, including commercial real estate transactions, lending and underwriting, engineering and due diligence, and portfolio risk governance. Unlike general AI tools that draw from open web sources, the RiskFootprint™ + Copilot workflow is trained to use only government and peer-reviewed sources, eliminating hallucinations and ensuring every output is traceable and defensible.
RiskFootprint™ reports covering commercial properties are available at $375 per property at riskfootprint.com. Residential reports are available at $200. Both now include the Copilot AI hazard summary workflow.
This development is significant for real estate and lending professionals who require rapid, reliable risk assessments for transactions. By integrating AI reasoning with authoritative data, the tool reduces the time needed to interpret complex hazard reports, potentially speeding up due diligence and underwriting processes. The emphasis on defensibility and traceability also addresses concerns about AI reliability in regulated industries.
