AI assistant · N5 Complete system
Investment Business Plan Tool Creator for Restaurants
With the Universal Investment Business Plan folder, your AI prepares the data of YOUR investment —a machine, a bakery, a roaster or a central kitchen— and the engine in the folder builds a committee-grade business plan: buy it made, produce only for the house or produce and sell, five years of financials, risk across thousands of futures and the board that votes with figures.
N5Complete system
Several chained pieces you install and operate over time, with their review cadence. It changes how the business runs, not one decision.
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What it does and what you get
- A production investment is usually decided with the supplier's quote and a spreadsheet promising it pays back in two years.
- Nobody says what has to happen for it to pay back, how likely that is, or what it is compared against.
- This assistant has your AI, with the Universal Investment Business Plan folder, prepare your investment's data —the quote, what you produce and buy today, the house's measured consumption, your area's market and the commercial plan— so the MASTERESTAURANT® engine builds a single-file interactive report.
- The **report** compares three paths with the same yardstick —buy it made, produce only for the house, produce and sell outside—, gives five years of financials under the right country and tax regime, measures risk across **5,000 futures**, sets the plan's traffic lights with their month and puts it before a board that votes with figures.
- Every assumption carries its status and source, and what is still unknown stays as an open question with what it would move in value: the report tells you what to confirm before signing.
What you end up with
The data verdict —what each block carries, with what status and what is missing—; your investment folder built with the tool's templates; your area's market with its sources, if your AI can search the web; the business plan in a single file that opens offline, built and reviewed by the engine's guardians, with the board minutes; the verification with what stayed unverified; a five-line reading with the report's figures; and the traffic lights with their owner, indicator and meeting.
EXAMPLE This is what you getAn example built with Pizzeria Vespertina, one of the house's fictional businesses.Not your data: your result is built with YOUR restaurant's.See the full example →Sample result
The owner asked this: «I have a quote for a deck oven and want to set up a bakery to stop buying our bread from a wholesaler and sell to cafés, restaurants and hotels in Miami. I already have the pizzeria's 2027 projection, the one I built with the sales forecast. Is it worth it, and what would have to happen for it to pay back?»
| Investment (10 of 20 line items quoted) | $419K |
| Net present value, five years at 12% | −$26K |
| Internal rate of return | 11% against the 12% the capital costs |
| Pays back in | 54 months (June 2031) · owner's target: 48 |
| Futures that create value | 16% of 5,000 |
| Paying back within the target | 7% of the futures |
| AI Board of Directors | 2 yes · 14 conditional · 2 no · orange |
Figures from the engine, built with the pizzeria's daily sales and the sourced Miami-Dade market. What decides it: baking only for the pizzeria is worth −$878K —a kilo would cost $50 against $11 to buy it made—; the bakery only makes sense if it sells outside, and with the plan the kilo drops to $13.
| # | Open question | How much it moves the value |
|---|---|---|
| 1 | At what price do Miami cafés buy specialty Italian bread? | $113K |
| 2 | Has the building had food use before (drains, three-phase power and hood)? | $111K |
| 3 | Does the group file a consolidated return with the bakery? | $71K |
The most valuable channels are cafés ($392K) and restaurants ($390K). The biggest lever is a channel the plan leaves to explore: par-baked pinsa bases for other pizzerias add $258K. The deepest cash the project asks for is $659K, in April 2028.
Illustrative example generated with a fictional restaurant. Not a promise of results, not a client case.
This is 2 of 4 parts. Behind the wall are **the complete business plan —the decision, the machine, the Miami-Dade market, five years of financials, 5,000 futures and the board with its minutes—**, **the action plan with its traffic lights** and **the pizzeria's 2027 projection that feeds it**.
See the full example — free accountWorks with these AIs
How to use it
Which of your data it uses
This assistant works with 13 of the 24 fields in «My Restaurant», among them Restaurant name, Business type and City and country. It does not ask out of curiosity: these are what make the answer speak about YOUR scale instead of an industry average — the same calculation on a business of another size returns a number you cannot decide with.
You fill them once and they apply across the library, so the second assistant you open already starts with them in place. Whatever you leave blank, the assistant asks for one thing at a time instead of inventing it, and says so before answering, so you know what it is working from.
Always up to date
Every assistant carries a visible version and date. When an AI changes how it works, the assistant's version goes up and you see what changed.
v1.0.02026-11-11Initial version. Commissioned by Diego F. Parra on 2026-11-11: «there is a new universal engine, _MR_BusinessPlanInversionesUniversal, matching _MR_BusinessPlanInversiones, for the living prompt library; create a new prompt that builds the investment business-plan tool for restaurants». Declared exception to the catalogue closed on 14 Sep, like the eight previous creators. Born with its kit —the whole _MR_BusinessPlanInversionesUniversal 1.16.0+u1.0.0 folder— behind the house privacy veto (docs/72), and with its example BUILT BY TWO HOUSE ENGINES IN A CHAIN: Pizzeria Vespertina, its daily sales and the Miami calendar in the universal forecast, and its bread bakery in the universal business plan, with the Miami-Dade market researched with sources (motor/business_plan_ejemplo.py).More assistants in this category
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Included in the always-growing library
Access to every published assistant, adapted to your AI and personalised with your restaurant's data, updates included.
