Same automation. Four different workflows.
Tuesday you saw the code. Today you see how agents, marketing, ops, and leadership each use it. Same listing data, completely different jobs.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Workflow Process
Impact By The Numbers
"I went from marketing expert to photographer. AI does the writing, I focus on the property."
— Agent, 7 years residential
How Roles Work Together on One Listing
All four roles interact with the same listing data, but each has a different job. Here's the timeline:
Sarah (agent) just signed a $750K listing. Watch how the team processes it in under 15 minutes.
✨ Scroll here to watch the workflow
Brokerage-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Time to Market | 2-4 hours per listing | 12-15 minutes per listing | 90% faster |
| Marketing Consistency | Varies by agent skill | Brand-consistent across all agents | 100% compliance |
| Agent Capacity | 3-5 listings/week max | 8-12 listings/week same effort | 2.3x throughput |
| Compliance Issues | 22% of listings flagged post-publish | 1% (caught before going live) | 95% reduction |
Getting Your Team On Board
Agents think AI descriptions sound robotic and generic
Run A/B test: Agent-written vs AI-generated. Track engagement rates for 2 weeks. Show AI posts get 34% more clicks.
Agents see data, not opinion. Most start using AI for first draft, then personalize.
Marketing worried they'll be replaced by automation
Show time breakdown: 80% of old job was repetitive writing. New job: strategy, brand voice, campaign planning (higher value work).
Frame as 'promotion' not 'replacement'. Marketing becomes strategic, not tactical.
Operations concerned about compliance with AI-generated content
Demo the validation layer: AI flags missing disclosures, checks against MLS rules, requires human approval before publish.
Ops sees it's more compliant than manual process. Becomes biggest advocate.
Brokerage lead worried about upfront cost and learning curve
Calculate ROI: $3,500/month investment saves 45 hours/week team time = $11,250/month at $50/hour. 9-day payback.
Show weekly savings chart. Decision becomes obvious when framed as investment, not expense.
Agents don't want to change their existing workflow
Start with 3 volunteer agents for 30-day pilot. Let them show results to rest of team. Peer adoption works better than top-down mandate.
After pilot, other agents ask 'when can I get access?' FOMO drives adoption.
Investment & ROI
Typical payback in 9-14 days through team time savings
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect MLS feed and CRM (Zillow, Realtor.com, etc)
- Import existing listings for baseline metrics
- Configure brand voice (upload 5 sample listings)
- Set up compliance rules for your markets
- Train 3-5 pilot agents (1hr session each)
- Train marketing coordinator on review workflow (2hrs)
- Train ops manager on compliance dashboard (1hr)
- Pilot agents submit 5-10 test listings
- Roll out to all agents (group training session)
- Daily check-ins for first week
- Measure time-to-market vs baseline
- Adjust workflows based on feedback
Enterprise deployments may take 4-6 weeks for multi-office custom integrations
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