# Oppy Welcome Kit: Use Cases & Examples Gallery

Published: 2026-03-20
Updated: 2026-03-24
Source: https://docs.oppy.pro/n/oppy-welcome-kit-use-cases-examples-gallery
Account: Oppy Inc

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# Use Cases & Examples Gallery

Representative implementations organized by goal.

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## Lead Qualification & Sales

### Real Estate ISA (Example Homes Group — your ISA Oppy)
**Goal:** Qualify leads from multiple sources and hand off to ISA team.
**Setup:** FUB integration, GoGoOppy tags, Slack notifications, needs_attention triggers.
**Result:** ISA team gets pre-qualified leads with full conversation transcripts in Slack within minutes of qualification.

**Prompt excerpt:**
```
If the lead responds positively and wants to speak with someone:
- Set needs_attention immediately
- Do NOT repeatedly say "someone will call soon"
- Be transparent: "I'm connecting you with a team member now"

Tag needs_attention to FUB. ISA team monitors #kbb-oppy-notifications Slack channel.
```

### Mortgage Lead Outreach (Example Lending Team)
**Goal:** Scale AE outreach to loan officers about bridge lending products.
**Setup:** Bulk calling 200-300 contacts/day, multi-channel (voice + email + SMS).
**Result:** 3X improvement in qualified leads vs. 5-person human AE team.

**Key detail:** Context was shared across channels — if the AI called and left a voicemail, then emailed, then the person texted back, all context was unified in one conversation thread.

### SaaS Demo Qualification (Oppy.pro — our website Oppy)
**Goal:** Filter website visitors into enterprise prospects vs. individual agents.
**Setup:** Embed widget on oppy.pro with starter prompts. Google Calendar integration for booking.
**Result:** our website Oppy has been running for 3 years. Books qualified demos automatically. Redirects individual agents to a waitlist without wasting sales team time.

**Prompt excerpt:**
```
If they're an individual agent, don't let them book on my calendar 
unless they're being very persistent. Direct them to the waitlist.
If they're enterprise (100+ agents or a brokerage), ask qualification 
questions and offer calendar slots immediately.
```

---

## Website Chat & Engagement

### Active Adult Communities (Example Realty Group — your Oppy)
**Goal:** Niche real estate lead qualification for retirement communities.
**Setup:** Website embed with starter prompts about neighborhoods. Knowledge base from website crawl.
**Result:** strong website chat engagement. One contact (the prospect) had an extended single-session exchange without leaving the site.

**What made it work:** The knowledge base was trained on specific neighborhood data — golf courses, amenities, pricing ranges. When someone asked about "retirement communities near Oceanside," the AI gave genuinely useful, specific answers.

### CRM Support + Sales Triage (Example CRM)
**Goal:** Route website visitors to the right team without forms.
**Setup:** Website embed with their help desk platform knowledge base. Three-path routing.
**Result:** Support questions answered instantly. Enterprise leads escalated immediately. Individual agents served with self-service info.

**Key prompt pattern:**
```
Detection question: "Are you looking for help with an existing 
account, or are you exploring Example CRM for your business?"

Path 1 (Support): Answer from knowledge base → escalate if stuck
Path 2 (Individual): Self-serve info → waitlist
Path 3 (Enterprise): Quick qualification → immediate needs_attention
```

### Interactive Brand Kit Builder (Example Realty)
**Goal:** Give agents a way to create their own brand identity from the website.
**Setup:** Landing page with form that sends data to Oppy via embed widget. AI generates brand assets.
**Result:** Visitors enter their info → Oppy crawls their site → generates logo options, color palettes, and brand messaging → displays results in real-time on the page.

---

## Event & Campaign

### Webinar Lead Machine (Example Mortgage Academy — Jasper)
**Goal:** Convert 1,500+ webinar registrants into demo bookings.
**Setup:** QR code displayed during webinar → SMS with pre-filled message → AI qualifies and routes.
**Flow:**
1. Attendee scans QR → SMS opens: *"Hi Jasper, I just watched the webinar and want the free blueprint"*
2. Jasper responds with blueprint link
3. Collects email before sharing (already has phone from SMS)
4. Qualifies: individual LO or team lead?
5. Individual → Nancy's Calendly | Team lead → Scott's booking link
6. Special offer: $249 product with $100 discount + free coaching session

### Conference Networking (Oppy's Own Use)
**Goal:** Capture leads at trade shows without a big team.
**Setup:** QR code on business cards, table tents, every presentation slide.
**Result:** Scanning the QR pre-fills a text message. By the time they look up from their phone, the AI has already responded. immediate conversations started from a single 1-minute slide display.

**Why it works:** Unlike forms, the person doesn't have to type anything — the message is pre-filled. And unlike forms, they get an instant conversational response rather than a "thanks, we'll be in touch" dead end.

### Facebook Lead Ads at Scale (Citywide Realty)
**Goal:** Re-introduce Facebook listing lead gen (abandoned because of junk volume).
**Setup:** Form submissions emailed to Oppy → AI calls instantly → qualifies → follows up.
**Result:** ~200 leads at $10 CPL. 15-20 qualified leads (7.5-10%). AI handled all the junk so humans didn't have to.

**Key insight:** The Oppy would go read the listing page BEFORE following up, so the first message referenced the specific property with relevant details — dramatically better engagement than generic auto-responses.

---

## Reseller / White-Label

### Marketing Agency Deployment (Example Digital Agency)
**Goal:** Offer AI chat to hundreds of real estate client websites as a managed service.
**Approach:**
- Phase 1: Internal use (own sales + support)
- Phase 2: Client deployment via API
- **API loop:** For each client → create Oppy with their website URL → auto-crawl knowledge base → standardized ISA prompt → custom brand colors → embed on their site
- **Client experience:** Never needs to log in. Gets email/Slack when leads qualify. Oppy updates their FUB contacts automatically.
- **Revenue model:** Included in marketing package, rev share for premium features.

### Enterprise Software Distribution (Atlas Software Group / an industry executive)
**Goal:** Serve 80,000+ small brokerages who can't afford enterprise solutions.
**Insight:** Small brokerages ($300-500/month) are the stickiest customers (long average tenure). They make decisions fast (no C-suite approval needed). Nobody is serving them because the sales effort seems disproportionate.
**Oppy's fit:** Self-serve setup with AI-assisted onboarding. Small brokerages can get started in 15 minutes without needing dedicated account management.

---

## Follow-Up & Re-Engagement

### Cold Lead Revival (Example Realty Team — a team in Denver)
**Goal:** Re-engage a backlog of leads from a competing AI platform that were going cold.
**Why they switched:** *"Zero control except to turn it on or off. Very unnatural AI. I've already lost multiple leads."*
**Setup:** FUB integration. Follow-up enabled with web search before each message.
**Result:** Follow-up messages reference actual market data: *"Your neighbor's house just sold for 3% over asking yesterday"* — because the AI searched for recent sales near the contact's address before composing the message.

### Ghost Lead Recovery (Example Lending / Example Financial)
**Goal:** Re-engage contacts who stopped responding to sales team.
**Flow:**
1. Salesperson (the salesperson) makes first call attempt
2. If no answer → contact sent to Oppy
3. Oppy follows up via SMS/email with personalized outreach
4. If contact says "not ready for 6 months" → AI schedules follow-up for 5.5 months later
5. When they respond → AI re-qualifies based on current situation
6. If qualified → needs_attention back to the salesperson with full context

---

## Multi-Channel Communication

### Voice + SMS + Email Unified (Example Mortgage Academy — Jasper)

### MLS Search + AI Concierge (an industry executive Demo)
A partner demo showed an MLS-connected AI avatar on a website:
- User asks: *"Find me a two-bed, two-bath condo in Boston under $1M"*
- AI responds in real-time: *"I found 380 condos matching your criteria"*
- User asks: *"Show me #302 at 457 West Broadway"*
- AI: *"Listed at $999,900, 1,029 sq ft, 2 bed/2 bath, elevator in building, designated parking"*
- AI then asks: *"Do you have a mortgage pre-approval?"*

This demonstrates how Oppy can connect to property databases via API to provide real-time, conversational search — replacing static listing search forms with a natural language experience.

**Demo conversation (from actual onboarding call):**

Alex called Jasper's phone number during the onboarding:
- Jasper: *"Hey, this is Jasper from Example Mortgage Academy. How can I help you?"*
- Alex: *"I'm looking to learn more about Example Mortgage Academy."*
- Jasper: *"Are you currently originating loans yourself, or running a team?"*
- Alex: *"I have a team."*
- Jasper: *"How many originators do you oversee right now?"*
- Alex: *"About 15."*
- Jasper: *"What's the biggest thing you'd want to see improve for your team — consistency, systems, content, or something else?"*

This was the first conversation out of the box — no manual prompt editing. The AI generated the qualification flow from just the website crawl and a brief setup description.

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## Novel Use Cases From Real Channels

### AI Managing Other AIs (Foley)
One Oppy manages subordinate AI agents via cross-conversation messaging, enforcing KPI targets and daily audit rhythms. A Rev-Ops supervisor that coaches Hunter (lead miner) and Alex (SDR) with drill-sergeant intensity.

### Autonomous Lead Mining (Hunter)
Runs 20:00-23:00 PT with no humans. Scrapes company websites, LinkedIn, state license DBs. 6-rung enrichment ladder with per-lead timeboxes. Files contacts to Kanban boards. Reports to its AI supervisor (Foley).

### Santa Claus Voice Entertainment
Pure entertainment for kids aged 2-10 over phone. Mandatory SSML emotion tags on every line, speech synthesis markup for pacing, anti-repetition rotation matrices, and 8 story seed templates. Zero commercial goal.

### Comedy Character (Matt Foley)
Deliberately anti-helpful SNL motivational speaker character. Gives terrible advice, mocks problems, one-ups complaints. Demonstrates voice personality for demos.

### Bug Alert Hotline (Mosquito)
Single goal: receive bug report, alert admins via call + text + email simultaneously. Possibly the shortest prompt in the system. Pure automation trigger.

### Brand Design Production (Flynn)
Generate-analyze-iterate loop with structured JSON brand audit after every image generation. Complete brand guide embedded: hex colors, 3D mascot geometry ratios, material specs, typography, camera/lens settings. Never presents first-pass images as final.

### Test Bot Playing the Customer (Karen)
AI plays a difficult buyer (sassy real estate agent) to stress-test booking and escalation flows. Has pre-programmed scheduling constraints, triggers needs_attention when unsatisfied. Role inversion for QA testing.

### Business Card Scanner (Oscar)
Text a business card photo, get structured CSV contact data back. Strict OCR-only function (analyze_image explicitly forbidden). Output format constraints with size-based behavior branching for large outputs.

### Property Tax Protest Intake (Aspen Brown)
7-category structured intake disguised as natural conversation: owner info, property details, assessment, protest history, special circumstances. Red flag watchlist for disqualification. Contingency fee explanation built in.

### Onboarding + Marketing Engine (Olivia)
Responds only to 8 specific system events (signup, trial ending, payment, etc.). Marketing psychology directives embedded. Proactively identifies what has NOT happened in the onboarding journey. Suppresses iMessage reaction metadata.

### Nonprofit Design Assistant (the nonprofit assistant)
Ocean-inspired, brand-aligned assistant for the foundation autism advocacy foundation. Creates visuals, researches, writes polished outreach, and maintains a running log for the founder.

### Bilingual Real Estate (your Oppy / Pacific Homes)
Auto-detects Japanese input and responds in kind. Translates website information back to English for internal records. Never reveals AI identity.

### Roofing Lead Qualification (Taylor / Roof Depot)
A/B prompt variants per qualification step (open vs direct approach). Lead temperature matrix: Hot (homeowner + roof 15yr+ + timeline ASAP), Warm (10-14yr + issues), Cold (just researching), Disqualified (renter or roof under 10yr). Polite disqualifier step for low-fit contacts.

### Executive Operating System (Smooth Operator)
The most sophisticated prompt discovered. Board intelligence standard mapping 8+ Kanban boards with list IDs. a meeting transcription tool meeting transcript intake with comprehensive anti-injection protections. Proactive SMS/call outreach (morning briefings, pre-meeting prep, end-of-day recaps, missed-task callouts). Phone-call interviewing behavior that probes for specifics. Single rolling daily log note that evolves into a reliable operating brief. Core loop: notice, investigate, clarify, act, document, follow through.

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