Using Automation to Win Deals: Q&A with Henry AI’s Sammy Greenwall

Why It Matters

By automating the data‑intensive pre‑pitch phase, AI reshapes CRE deal cycles, freeing analysts for higher‑value tasks and giving firms a speed advantage that can win mandates in a tightening market.

Key Takeaways

• Henry AI turns raw CRE data into polished deal decks in hours
• Brokers can cut pre‑pitch work from weeks to days
• Firms automating data and speed outpace relationship‑only brokers
• Early adopters focus on a single painful workflow, ship in 60 days
• AI readiness rose as technology now delivers institutional‑quality CRE outputs

Pulse Analysis

The commercial‑real‑estate (CRE) sector is finally catching up with the broader AI wave. Early adopters like Henry AI demonstrate that generative models can now ingest market comps, lease terms, and underwriting assumptions, then output investor‑ready presentations that meet institutional standards. This leap in capability reflects two years of model refinement and the proliferation of domain‑specific training data, allowing AI to produce accurate, visually compelling decks without extensive human editing. As a result, firms that integrate such tools gain a measurable speed premium in a market where transaction volume is uneven and time‑to‑insight is a decisive factor.

Beyond speed, the automation of pre‑pitch work reshapes the analyst’s role. Traditional CRE teams spend 30‑plus hours weekly pulling comps, formatting charts, and stitching disparate data sources. Henry AI’s copilot compresses that effort into minutes, shifting human effort toward strategic judgment, client positioning, and relationship building. This reallocation not only improves the quality of the final offering memorandum but also reduces the risk of data errors that can derail diligence. Investors now expect institutional‑grade visuals and defensible numbers on a near‑real‑time basis, making the AI‑enabled workflow a new baseline rather than a differentiator.

Strategically, leaders should treat AI as a tactical lever rather than a multi‑year transformation program. Greenwall’s advice—to identify a single, high‑pain workflow and deliver a functional prototype within 60 days—mirrors lean startup principles and accelerates learning. The cost of waiting for a perfect solution outweighs the risk of early iteration, especially as AI models continue to improve. In the next three years, the pre‑pitch phase is likely to be almost entirely automated, leaving human expertise to focus on nuanced negotiations and creative deal structuring, thereby redefining the competitive landscape of CRE brokerage.