Case Study: NextHome

NextHome arms its fast-growing franchise network with an AI “Agentic Workforce” powered by raia


Snapshot

Metric

Before raia

After raia (AI Agents)

Agent support response time (after hours)

E-mail queue, ≈ 4 h avg.

< 2 min via chat / SMS — 24 / 7

Lead-response coverage

≈ 50 % of online inquiries touched

100 % contacted & qualified by AI

Demos / appointments booked per month

120

310 (+158 %)

Recruiting outreach to loan officers

1 000 manual emails / mo.

6 000 personalised messages / mo.; 3× more intro calls

Event RSVP & FAQ handling

One-way email blasts

Conversational AI drives 78 % RSVP & answers FAQs instantly

Equivalent human capacity added

≈ 6 FTEs (3 support + 2 SDR + 1 recruiter)

“If you’re not deploying AI today, you’ll be years behind your competition. Raia lets us spin up highly custom agents fast—an indispensable partner on our road to AI.” Keith Robinson, Co-CEO, NextHome


1 | Company & Challenge

NextHome is one of the fastest-growing real-estate franchises in the U.S., with 600 + offices and 6 000 + members and an ambition to double in size within four years. Growth pressures showed up in three areas:

  1. Agent Support — Thousands of associates needed instant answers on marketing tools, compliance and tech setup.

  2. Recruiting — Franchise owners wanted to court loan officers and new agents at national scale without losing the personal touch.

  3. Event & Lead Engagement — Webinars, open houses and online buyer leads demanded round-the-clock conversation.


2 | Why NextHome chose raia

  • Omnichannel from day one — chat, SMS, email and voice funnel into a single conversation timeline.

  • Rapid knowledge ingestion — 12 000 + pages of playbooks, FAQs and call transcripts vectorized in hours for precise retrieval.

  • CoPilot human-feedback loop — staff rated draft answers during a 60-day shadow phase, lifting accuracy above 95 % before go-live.

  • No-code CRM & calendar hooks — agents push qualified leads to kvCORE, book meetings in Outlook/Calendly, and sync RSVPs with Eventbrite.


3 | Solution Design

AI Agent

Primary Role

Key Integrations

Agent Support Concierge

24 / 7 answers on marketing suite, MLS feeds, compliance; escalates edge cases.

Vector KB, Zendesk

Sales-Qual Agent

Engages buyer/seller leads, asks discovery, books appointments with member agents.

kvCORE API, Calendly

Recruiter Agent

Sends personalised outreach to loan officers & agents, handles Q&A, schedules calls.

HubSpot, email / SMS

Event & Conference Bot

Manages RSVPs, answers agenda/venue questions, sends reminders.

Eventbrite, SMS


4 | Implementation Timeline

  1. Weeks 1–2 — Upload franchise manuals & transcripts to Launch Pad.

  2. Weeks 3–6 — Shadow mode in CoPilot across 10 pilot offices; tone & routing refined.

  3. Week 8 — National launch of Support & Sales agents.

  4. Month 4 — Recruiter and Event bots deployed; Spanish language pack added.


5 | Results (first 5 months)

  • ≈ 25 000 conversations / month handled; 68 % resolved or scheduled by AI with no human touch.

  • Lead demo-set rate +158 % (120 → 310 / month).

  • Recruiting reply rate tripled (6 % → 18 %).

  • Agent support CSAT rose from 4.0 → 4.7.

  • AI workload equals ≈ 6 full-time employees, saving ≈ US $500 k / year.


6 | Key Takeaways

  1. Solve agents’ pain first — instant support wins field buy-in.

  2. Clone agents, don’t rebuild — new offices receive a tailored concierge in under an hour.

  3. Keep the human option — users can escalate to a live person any time, preserving relationship-based service.


NextHome’s experience shows that raia’s Agentic Workforce turns AI into a growth engine—supporting agents, amplifying recruiting and converting leads around the clock—without expanding headcount.

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