Silah tripled its qualified sales pipeline in one quarter by deploying an AI sales agent on WhatsApp
Silah Property Assistant
The challenge
Silah handled 400+ WhatsApp inquiries daily across a portfolio of luxury and mid-market properties. Their six-person sales team was spending 60% of their time on pre-qualification: budget checks, location preferences, buying timelines. This happened before any real conversation started. Response times averaged three hours. In their market, that meant losing deals.
What we built
We built a WhatsApp AI agent on GPT-4 with a live knowledge base of Silah's full property inventory, pricing, and availability. The agent qualifies leads across eight criteria, cross-references budget against live listings, books viewings directly into agent calendars, and hands off with a structured brief. High-value leads above a defined threshold are escalated immediately via Slack.
How we got there
Load the property knowledge base
Indexed Silah's full inventory, pricing, and availability so the agent always quotes current data.
Design the qualification flow
Built the eight-criteria qualification script and the Slack escalation path for high-value leads.
Deploy and tune
Launched on the existing WhatsApp Business number and tuned response tone against real conversations in week one.
Results
Response time dropped from 3 hours to under 30 seconds. Qualified lead volume increased 3x. Sales team time on pre-qualification dropped from 60% to under 10%. Qualified pipeline tripled in the first quarter post-deployment.
“Our senior agents used to spend their mornings doing pre-qualification. Now they spend them closing. The difference in team morale alone justified the project.”Sales Director, Silah
Services used in this engagement
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