Skip to contentREA
Start a study
AI Feasibility Analyst
What drives the return in this study?

Explore revenue, operating costs and financing alongside your project cash flow.

Project inputsFinancial outputs
Ask about your completed study ↑
↗

Answers grounded in your completed project.

Illustrative product view

AI Feasibility Analyst

Keep asking. Stay close to the evidence.

Keep the conversation connected to the study. The AI Feasibility Analyst answers using the completed project data rather than treating the investment case as a generic question.

Start a study
One connected investment caseProject inputsFinancial modelReport & analysis

Start with a completed project.

Answers from completed project data

Keep each answer connected to the project you generated.

Questions about the study

Explore the inputs, outputs and return drivers you want to understand.

Project-aware follow-up

Continue a question in the context of your investment case.

Context alongside your deliverables

Read explanations alongside the workbook and report.

Built around your project

Follow a specific question.

Ask about the inputs, return drivers or financing you want to understand. Read the explanation alongside the workbook and report.

The analyst works from the completed study. Use it to explore questions about the case you have generated.

AI Feasibility Analyst
What drives the return in this study?

Explore revenue, operating costs and financing alongside your project cash flow.

Project inputsFinancial outputs
Ask about your completed study ↑
↗

Answers grounded in your completed project.

Illustrative product view
Your studies
01Payment received
02Processing
03Completed
Excel ↙PowerPoint ↙
↗

Follow each job and access its completed outputs.

Illustrative product view

From the study to the decision

Keep the evidence visible.

A project-grounded answer helps you understand the outputs. It does not turn an estimate into observed market evidence or remove the need to review your assumptions.

Is this the same as suggesting inputs?

No. Input assistance helps before generation; the analyst helps you question the completed project.

How it works

Your project assumptions, generated outputs and follow-up analysis stay part of the same investment case.

Explore the workflow
  1. 01

    Describe the opportunity

    Begin with your hotel or real-estate concept and the project facts you know.

  2. 02

    Review the assumptions

    Check the programme, revenue, operating cost and financing inputs. Review and override AI suggestions.

  3. 03

    Choose your deliverables

    Select an Excel financial model, a PowerPoint report, or the complete study bundle.

  4. 04

    Follow your study

    Track payment, processing and completion in the dashboard. Access your outputs when they are ready.

  5. 05

    Question the investment case

    Use the AI Feasibility Analyst to explore the completed project alongside your financial model and report.

Questions worth asking

Read the study like an investor.

Understanding the model

What drives the return?

Connect the return to the revenues, costs and financing behind your study.

Read the answer

Reviewing your inputs

What did AI infer?

Review proposed inputs and replace them with your own evidence before generation.

Read the answer

Choosing your deliverables

What does the handoff include?

Choose an Excel workbook, a PowerPoint report, or both from the same study.

Read the answer
Explore all insights ↗

Your next investment case

More clarity.
Less repetition.

Bring your assumptions, financial model and report together in one study.

Start a study

Excel, PowerPoint, or the complete bundle.