AI in Real Estate: The Game-Changer for Deal Management with Akinfolarin Olusuyi of Altrio

Commercial Real Estate Podcast

Welcome to the CRE podcast. 100% Canadian, 100% commercial real estate. In this episode of the Commercial Real Estate Podcast, hosts Aaron and Adam connect with Akinfolarin Olusuyi, Chief Services Officer at Altrio. Join them as they discuss the impact of AI on commercial real estate. Recorded at the Canadian Department of Investment Conference, the conversation explores Altrio’s data-driven platform, Origin, which enhances deal-making through automation, data management, and efficiency improvements. Akin also addresses market challenges, the evolving role of AI, and the need for real estate professionals to adapt to technology’s growing influence on the industry.

Here are the key talking points from the episode:

• Akinfolarin’s Background
• AI vs. Technology in Real Estate
• Overview of Altrio and the Origin Platform
• Key Features of Origin
• Challenges in Data Accessibility
• Document Generation Needs
• Future Aspirations for AI in Real Estate
• AI’s Impact on Employment in Real Estate
• Embracing Change and Continuous Learning

More about our guest…

Akinfolarin Olusuyi is an accomplished Commercial Real Estate (CRE) professional and Chief Services Officer at Altrio, a technology firm transforming CRE investing with innovative, data-driven solutions. With a background in underwriting CRE deals and private equity, Akin has managed acquisitions, asset management, and capital raising for over $500 million in assets. At Altrio, he oversees Data and Professional Services, optimizing investment workflows through Altrio’s flagship platform, Origin. A CFA and finance graduate from York University and the Schulich School of Business, Akin is a dedicated mentor, speaker, and volunteer, passionate about growth, faith, and community engagement.

Episode Highlights

• 00:00 – Intro
• 02:31 – Akinfolarin’s Background
• 05:01 – AI vs. Technology in Real Estate
• 08:13 – Overview of Altrio and the Origin Platform
• 11:17 – Key Features of Origin
• 15:31 – Challenges in Data Accessibility
• 18:01 – Document Generation Needs
• 20:21 – Future Aspirations for AI in Real Estate
• 23:01 – AI’s Impact on Employment in Real Estate
• 26:14 – Embracing Change and Continuous Learning

Quotes

• “While predictive models have existed for some time, the intricacies of the real estate market—like local governance and market dynamics—make accurate forecasting incredibly difficult. We need a range of probable outcomes, not just a single predicted value, but current technology simply doesn’t fully accommodate that requirement.”

• “There will be significant changes in the roles required in our industry, but that doesn’t necessarily equate to job losses. Think of it like a restaurant chain; technology allows for increased productivity. Companies adopting new tech might open more locations instead of just reducing staff.”

• “Organizations prioritizing technology now will be the leaders in the next decade. It’s about embracing AI as a tool to enhance your work rather than seeing it as a threat. The competitive edge lies in leveraging data and effectively systemizing our approaches to deal structuring.”

• “I envision a future where data-driven decision-making is the norm in commercial real estate. AI will eventually play a more significant role, enhancing the capabilities of professionals and improving overall efficiency. Those willing to adapt and embrace these changes will thrive.”

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