How AI actually applies to commercial real estate work — what holds up, what does not, and what changed in the product.
August 30 to September 1 at the Orange County Convention Center in Orlando: a live look at source-linked answers over a lease portfolio. The show is over; the demo is still available on request.
Read more →Yes — and that stopped being the interesting question. The four failures that show up two months into a pilot.
Read more →What connecting Claude to your document repository gives you, and the four things a per-user connector structurally cannot do.
Read more →Copilot is the strongest competitor on governance. Where it is the right answer, and the three conditions that decide against it.
Read more →The question is not whether the AI was right. It is whether you can show what it read, and who asked.
Read more →Google Drive, Gmail, and a safer property data import flow with review step.
Read more →Most AI products assume you already know what a context window is. Sevrel is built for the people actually running buildings.
Read more →Retrieval and citations accelerate review, but material AI output still needs verification.
Read more →Keep Egnyte as the source library while Sevrel processes and indexes authorized content.
Read more →AI finds co-tenancy triggers, exclusivity provisions, and termination rights across your portfolio.
Read more →Historical March announcements, annotated with the current status of critical dates, prompt shortcuts, dashboard analysis, and report definitions.
Read more →Potential AI-assisted portfolio workflows, with retrieval, coverage, and verification limits.
Read more →How Sevrel’s architecture keeps your CRE documents private.
Read more →Everything CRE professionals need to know about AI in 2026.
Read more →The techniques Sevrel uses to prevent AI hallucination in CRE financial documents.
Read more →How Sevrel reads rent roll spreadsheets: extracting tenant data, identifying trends, and cross-referencing against lease documents.
Read more →A practical guide to shared cost adjustment: what it is, common pitfalls, and how AI streamlines the process.
Read more →How AI is changing CRE acquisitions: deal room analysis, lease abstraction, risk flagging, and timeline compression.
Read more →Historical design context for an archived LOI-generation agent. Current support is an illustrative one-turn drafting prompt, not a mounted workflow.
Read more →A practical framework for CRE professionals evaluating AI tools: what to ask about data privacy, accuracy, and CRE-specific capabilities.
Read more →How CRE asset managers use AI to analyze operating expenses across multiple properties — comparing budgets, identifying outliers, and benchmarking CAM charges.
Read more →How AI can assist a multi-lease comparison, where retrieval coverage can fall short, and what reviewers must verify.
Read more →RAG is the technology behind accurate, document-grounded AI answers. Here’s how it works and why it’s essential for CRE.
Read more →We built Sevrel because CRE professionals deserve better tools for working with their documents.
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Subscribe to updates →Last updated: August 11, 2026