# Case Study: NextHome

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

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**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**

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#### 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.

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#### 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.

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#### 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      |

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#### 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.

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#### 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.

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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.**