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Deck Narrative ​

The story to tell. Slide by slide.


Pitch Flow ​

Total time: 5-7 minutes Slides: 12-15


Slide 1: Title ​

YeboOne chat. Everything done.

[Logo]


Slide 2: The Hook ​

"85% of African workers are in the informal economy. They have no Indeed, no Shopify, no Stripe. Just WhatsApp groups and hope."

Africa's economy is fragmented. Yebo unifies it.


Slide 3: The Problem (1 of 2) ​

Finding a job in Africa:

❌ No Indeed ❌ No LinkedIn ✅ 20 WhatsApp groups to check daily ✅ Copy-paste your CV 100 times ✅ Wait and pray

Same for selling, getting paid, learning...


Slide 4: The Problem (2 of 2) ​

Every economic action requires:

  • 5 different apps
  • Manual copy-paste
  • No trust layer
  • No payment protection
  • No intelligence

This is fixable.


Slide 5: The Insight ​

The West: Built infrastructure, then added AI Africa: Can leapfrog to AI-native infrastructure

  • Mobile money exists ✓
  • WhatsApp is universal ✓
  • Phone is identity ✓

The rails are there. Just need the intelligence.


Slide 6: The Solution ​

Yebo is an AI agent that participates in the economy on your behalf.

You: "Sell these shoes"

Agent:
→ Lists across marketplace
→ Finds buyer
→ Collects M-Pesa payment
→ Notifies you to ship
→ Releases funds on delivery

You: Wake up to money.

Slide 7: The Product Network ​

ProductWhat It DoesStatus
YeboShopsCommerceBuilding
YeboJobsJobs✅ Live
YeboLinkSMS/WhatsApp✅ Live
YeboSafeEscrowBuilding
YeboLearnLearningBuilding
EnezaWhatsApp Ads✅ Live

All connected. One agent.


Slide 8: How It Works (Demo) ​

[Show or describe the agent interaction]

  1. User drops photos
  2. AI creates listings
  3. Agent finds buyers
  4. Escrow protects transaction
  5. Mobile money for payment

Works on WhatsApp. Works on any phone.


Slide 9: The Agent Difference ​

Before YeboAfter Yebo
You check 20 WhatsApp groupsAgent searches 500+ jobs
You post on 5 platformsAgent lists everywhere
You chase paymentsAgent collects and reminds
You sleep, nothing happensAgent works 24/7

It's not an assistant. It's an employee.


Slide 10: Traction ​

  • 12,000+ users on Eneza
  • 4 products live
  • Revenue generating today
  • Built in Africa, for Africa

Not a pitch deck. Real products. Real users.


Slide 11: Market ​

  • 1.4B people
  • $46B e-commerce by 2025
  • 500M mobile money accounts
  • 60% under 25

Fastest growing digital economy. Totally underserved.


Slide 12: Business Model ​

ProductRevenue
YeboShops5-10% transaction fee
YeboJobsJob posting fees
YeboLinkPer-message
EnezaAd placement
YeboSafeEscrow fee + float

Multiple revenue streams. High margins.


Slide 13: Competition ​

Why nobody else is doing this:

PlayerTheir FocusGap
JumiaCommerce onlyNo AI, no informal
FlutterwaveB2B paymentsNo consumer
ChatGPTGeneral AINo transactions

Connected products + AI + African context = new.


Slide 14: The Ask ​

[Amount] to:

  1. Scale AI — Agent infrastructure
  2. Launch products — YeboID, YeboSafe, YeboShops
  3. Grow users — 12K → 1M

18-month runway to dominance.


Slide 15: Vision ​

In 10 years:

"How did people do business before Yebo?"

Yebo becomes Africa's economic operating system.


Appendix Slides ​

Keep ready for Q&A:

  • Technical architecture
  • Detailed financials
  • Team bios
  • Product roadmap
  • Mobile money integrations
  • Unit economics

Key Talking Points ​

Opening ​

"Africa has 1.4 billion people and no unified economic infrastructure. We're building it."

Problem ​

"Finding a job means checking 20 WhatsApp groups. Selling something means posting 5 places. No trust, no payments, no intelligence."

Solution ​

"Yebo is an AI that actually does things. It sells, applies, collects payments — while you sleep."

Traction ​

"We're not pitching an idea. 12,000 users, 4 products live, revenue today."

Ask ​

"[Amount] to scale the AI, launch remaining products, and grow to 1 million users."

Close ​

"In 10 years, people will ask: how did anyone do business in Africa before Yebo?"


Objection Handling ​

"Isn't this just another chatbot?"

No. ChatGPT talks. Yebo works. It's connected to real products that execute real transactions.

"Why will Africans trust an AI with money?"

They already trust M-Pesa. We're adding intelligence, not replacing trust.

"Can't big tech just do this?"

They could, but they haven't. Local knowledge, payment integration, informal economy understanding — can't be built from SF.

"How do you make money?"

Transaction fees, job postings, messaging fees, advertising. Multiple streams, all high-margin.

One chat. Everything done.