> For the complete documentation index, see [llms.txt](https://wiki.fridays.bot/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.fridays.bot/investor-room/investors-room.md).

# Investors Room

## 📈 Fridays — Investor Room

Confidential overview of Fridays for prospective investors and partners. For the full technical treatment behind these claims, see the [whitepaper](https://wiki.fridays.bot/whitepaper/introduction).

> **Thesis:** an AI back office is inevitable for small businesses — but only the *approval-gated* version is safe enough to trust with money. Fridays is building that: an AI teammate that does the busywork and always asks before it spends or sends.

### Why now

Large language models made autonomous back-office work possible for the first time; the blocker is no longer capability, it's trust. A small business will not hand an autonomous agent its bank and inbox on faith, so the durable product isn't "more autonomy" — it's autonomy with a hard human gate on every consequential action. Fridays is that product, built on an orchestration control plane that already runs today.

### In this room

| Section                                                                  |                                                           |
| ------------------------------------------------------------------------ | --------------------------------------------------------- |
| 💡 [**Pitch Deck**](https://fridays.bot/pitchdeck)                       | The problem, the wedge, and why approval-gated wins.      |
| 🛠️ [**Product & status**](https://claude.ai/chat/product.md)            | What Fridays does, what's built today, and what's next.   |
| 📊 [**Market**](https://claude.ai/chat/market.md)                        | SMB back-office automation — size, segments, and sources. |
| 💵 [**Business model**](https://claude.ai/chat/business-model.md)        | Per-business pricing and why the unit economics hold.     |
| 🗺️ [**Traction & roadmap**](https://claude.ai/chat/traction-roadmap.md) | Current milestones and the path to launch.                |
| 👥 [**Team**](https://claude.ai/chat/team.md)                            | Who's building it, and why us.                            |
| 🤝 [**The round**](https://claude.ai/chat/the-round.md)                  | What we're raising, terms, and use of funds.              |
| 🔒 [**Data room**](https://claude.ai/chat/data-room.md)                  | Financial model, cap table, and corporate documents.      |

### Highlights

* **The engine is built.** The approval-gated orchestration core runs today — what remains is connectors, the hosted app, and go-to-market. See [Product & status](https://claude.ai/chat/product.md).
* **A wedge, not a suite.** Fridays starts with the highest-pain, highest-trust workflow — bookkeeping in QuickBooks — and expands from that beachhead rather than boiling the ocean.
* **Predictable margins by design.** A hard spend ceiling sits in front of every AI action, so flat per-business pricing survives usage-based model costs. See [Business model](https://claude.ai/chat/business-model.md).
* **Trust is the moat.** The approval gate plus a complete audit trail are what let an owner hand over the inbox and the bank — hard to retrofit, and central to the product rather than bolted on.

### The round

We are raising **\[amount]** on **\[instrument — e.g., SAFE with a $\[cap] cap]** to **\[use of funds — ship the first connectors, launch the hosted product, first go-to-market hires]**. Full figures and terms are in the [data room](https://claude.ai/chat/data-room.md).

*(Bracketed items are placeholders — not yet final. No traction, revenue, or valuation figures are stated here until they are real and sourced.)*

### Contact

**\[Founder name]**, \[title] · \[email] · \[calendar link] To request data-room access, email **\[access email]**.

***

*Confidential — do not distribute. This document is for informational purposes only and is not an offer to sell, or a solicitation of an offer to buy, any security. It contains forward-looking statements about a pre-launch product; actual results may differ materially. Not legal, financial, tax, or investment advice — prospective investors should rely on their own advisors and on the definitive documents in the data room.*


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