Scotiabank brings AI into home upgrades with a tool linking energy efficiency, costs and climate risks
New platform combines energy efficiency, renovation costs, and climate risk into a single homeowner experience.
Scotiabank has introduced the “Home Energy and Advice Tool", an AI-enabled digital solution that provides homeowners with personalized insights to improve energy efficiency, estimate renovation costs, and assess exposure to extreme weather risks. The tool uses property-specific data to guide users on upgrades, potential savings, and available financial support options.
Key Highlights
Personalized insights based on home data: The tool generates recommendations using inputs such as the age of the home and heating system type, enabling homeowners to receive tailored guidance rather than generic advice.
Energy, emissions and risk assessment in one interface: Users can access an instant rating that combines energy performance, emissions impact and climate-related risk, helping them evaluate their property from multiple perspectives in a single view.
Guidance on upgrades with financial estimates: The platform outlines potential home improvements along with cost estimates and expected payback periods, supporting more informed planning for renovation decisions.
Access to rebates and funding programs: It identifies relevant incentives and funding options, addressing a gap where a limited proportion of homeowners currently understand available energy efficiency programs.
Additional support through virtual coaching: Eligible users can access virtual energy coaching for a limited period, offering further guidance alongside the tool’s automated recommendations.
❓ What can be taken from this
This development reflects a shift in how financial institutions are positioning themselves beyond banking strategies in the home improvement and sustainability ecosystem. By combining property-level data, financial guidance and climate-related insights into a single digital experience, the approach moves beyond traditional lending into advisory and decision-support roles.
It indicates that banks may increasingly use data-driven tools to influence customer behavior in areas such as energy efficiency and resilience, where financing, risk management and sustainability are closely linked.
