Roshan Kumar

Roshan Kumar

AI Product Manager

I build agentic products
for enterprise workflows.

Iro AI

Speed to Lead

Validate the response gap before building the agent.

Role
Founder & Product Lead
Market
Florida real estate
Stage
Pre-build validation and solution design

20 of 30 brokerages did not respond to a buyer inquiry. Subsequent outreach to broker owners produced two unsolicited demo requests, sharpening the target customer before implementation.

The problem

Brokerages invested in buyer leads, but follow-up depended on individual agents. The opportunity was reliable response coverage, particularly outside business hours.

Evidence

Observe the existing workflow.

Submitted buyer inquiries to 30 Florida brokerages across business hours, evenings and weekends. Only three responded within five minutes; 20 never replied.

Compare who feels the problem.

Tested cold outreach with solo realtors and broker owners, comparing substantive replies and demo interest.

Outreach results by customer segment
SignalSolo realtorsBroker owners
Emails sent200173
High-signal replies14
Demo requests02

Broker owners showed stronger interest in this test. Demo requests were an early demand signal, not paid adoption.

Product decisions

Prioritize broker owners.

Owners described the gap as an operational problem. Their responses supported a brokerage-level product over a solo-agent tool.

Fill coverage gaps around the existing team.

The inside-sales-team objection shaped positioning: support nights and weekends rather than replace the team.

Turn research into a bounded product goal.

Designed a lead-triggered voice workflow to respond within 60 seconds, qualify intent, update CRM and arrange a human handoff. Response speed was a target, not a measured deployment result.