Most AI on the web is a chatbot answering a question. This is a bench of specialist agents pressure-testing the same deal and reaching a call they can defend, then drafting the document an investor would expect. Press one button and watch it happen.
Hover, tap or focus a member to see who they are and what they do.
An off-market acquisition put to the investment committee.
Buy at the asking price, chip the price, or walk away?
| A | B | |
| 1 | Metric | Value |
|---|---|---|
| 2 | Recommended price | £7,540,000 |
| 3 | Acquisition costs (6.8%) | £513,000 |
| 4 | Total outlay | £8,053,000 |
| 5 | Senior debt (60% LTV) | £4,524,000 |
| 6 | Equity required | £3,529,000 |
| 7 | Day-one NOI | £607,000 |
| 8 | Day-one ICR | 2.20x |
| 9 | Day-one cash-on-cash | 9.4% |
| 10 | Stabilised NOI | £739,000 |
| 11 | Exit value (year 5) | £9,700,000 |
| 12 | Net IRR (5-year) | 12.0% |
| 13 | Equity multiple | 1.70x |
Illustrative model. Exit modelled at a 7.5% net initial yield on stabilised income.
Press Run the debate to start the conversation.
Seven specialists join the chat. Watch them pressure-test the deal in real time.
Illustrative and scripted. The agents do not call a live model here, the figures and spreadsheets are invented, and this describes no real deal or company. In a real build the agents run on your own data, with a person making the final decision.
How it works
This is not a chatbot answering a question. It is seven AI agents, each playing a property specialist with its own remit, pressure-testing the same deal until they reach a conclusion they can all stand behind, then turning it into a board-ready document.
A valuer tests the price, a building surveyor prices the works, a solicitor reads the leases, an accountant structures for tax, a broker sources the debt, an environmental consultant weighs the risks, and a planning consultant maps what you can do.
In the first round each specialist gives their read. In the second the tensions surface and resolve, which is where the real conditions appear.
A final pass weighs the exchange into a recommendation with conditions and options, then drafts the full Information Memorandum behind it.
No overclaiming
In a real build, these agents are grounded in your own data, not invented figures, and they draft the decision and the document rather than make the call. A person always signs it off. This page is scripted to show the shape of that reasoning, and every figure on it is illustrative.
The honest bit
This pattern applies to your underwriting, your hiring shortlists, your supplier decisions, any call where being able to defend the answer matters as much as the answer itself.
See what this could do for your decisionsBefore you ask
Where to next
Eight more interactive demos, each built around a real pressure UK property teams face right now.
Open the labBuild this for realA senior AI advisor embedded with your team, grounding agents like these in your own data and keeping a human in the final seat.
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