Reviewing your inputs
What did AI infer?
Review proposed inputs and replace them with your own evidence before generation.
An incomplete brief does not have to stay a blank page. AI can propose missing inputs from five sift criteria, while you keep the ability to review and override the values before generating the study.
Separate facts from suggestions
Begin with the project information you already have. AI-assisted input helps fill gaps; it does not make a suggested value a confirmed project fact.
The workflow keeps proposed values visible and editable. That makes the review step part of building the investment case, rather than something left until after the report has been generated.
Review before generating
Read each proposed value in the context of your project. Where you have better information, replace the suggestion with your own input. Review the programme, revenue, operating cost and financing assumptions together so the brief describes one coherent case.
The five sift criteria support the proposal of missing inputs. The important handoff is still your review: the study should reflect the assumptions you intend to evaluate.
Keep the conversation connected
Once the study is complete, the AI Feasibility Analyst answers using that project's data. This is a separate role from suggesting missing inputs before generation: it helps you understand the completed case.
Ask about an assumption you want to understand and read the answer alongside the delivered model. A project-grounded explanation helps you follow the case; it does not turn an estimate into observed evidence.
Before you move on
- Add the project facts you already know.
- Inspect proposed values before generation.
- Override suggestions where you have your own evidence.
- Review the completed outputs against the intended brief.