How CommercialSpace automates leasing 71% with Chatref

CommercialSpace is a Houston-based commercial landlord with 110 employees and a portfolio of 2.8 million square feet of office, retail, and industrial real estate across 35 buildings. Its leasing team of 19 specialists works with business tenants ranging from law firms and medical groups to light-industrial operators, each with different square-footage, zoning, and buildout needs.

Business prospects researching space needed detailed answers on square footage, lease rates, buildout allowances, and zoning before committing to a tour – and they needed those answers fast. With 19 leasing specialists spread across 35 properties, response times averaged 13 hours during busy seasons. After-hours inquiries from owner-operators vanished into a voicemail queue.

Existing tenants were frustrated too. Maintenance requests, lease renewals, and expansion questions all went through the same leasing team, who spent hours each day on repeat questions instead of closing deals. CommercialSpace needed an always-on assistant that could answer property-specific questions from real documents, qualify prospect intent, coordinate tours, and triage tenant service tickets without growing the team.

After a four-month pilot on five properties, CommercialSpace rolled Chatref out across the entire portfolio. Leasing agents and property managers uploaded per-building spec sheets, floor plans, lease templates, market analyses, and tenant handbooks into a private Chatref workspace. Because Chatref answers only from your content, the bot quotes rates and zoning from the actual source documents, not from memory.

The chatbot now runs on the public leasing site, the tenant portal, and an SMS channel. It qualifies prospects on space needs, budget, and timeline, suggests matching properties, and books tours via the existing scheduler. Ambiguous or high-stakes negotiations are handed off to a leasing specialist with the conversation context preserved.

Because Chatref is pay-as-you-go with no per-seat fees, CommercialSpace invited every leasing specialist and property manager to review transcripts and submit corrections during the pilot. That kept the knowledge base sharp.

Automating 71% of interactions freed leasing agents to focus on closing deals instead of re-explaining floor plans. Leasing cycle time fell 48%, tenant satisfaction reached 87%, and the $82,000 monthly savings covered Chatref's pay-as-you-go usage within five weeks of full rollout.

CommercialSpace shows how commercial real-estate operators can use a chatbot trained on their own content to qualify prospects, shorten leasing cycles, and service tenants without growing the leasing team. Because Chatref retrieves answers from uploaded property documents, rates and terms stay accurate across dozens of buildings. The same playbook applies to any multi-property landlord, REIT, or brokerage.