AI procurement DCF Valuation Automation

I need a functional solution that can perform a full valuation process for tenders. This solution should be based on three pillars:
1. Economic component, using a discounted cash flow (DCF) model that automatically incorporates key variables such as revenue projections, operating costs, and applicable tax rates.
2. Technical evaluation, which should include the main suppliers of the service or product, along with arguments for their selection.
3. Qualitative variable, to assess additional aspects of the supplier.

The model will be used mainly for service-based projects, but it must remain flexible enough to handle asset purchases or any other investment we decide to evaluate.

This is the outcome I am looking for:
• An AI-driven or rules-based module that takes into account the three pillars:
• Economic: receives (or scrapes) the latest figures, feeds them into a DCF engine, and returns the NPV, IRR, payback period, and a short sensitivity analysis.
• Technical and qualitative: incorporates the respective evaluations.
• Built-in tax management logic that recognizes different jurisdictions and automatically applies the correct rate or structure.
• A simple interface (for internal use) so my team can trigger new valuations without touching the code.
• Clear documentation and a quick handover session so we can extend or adapt the inputs later.
• Legal document review or drafting for the execution of the evaluated service.

The final output must include a cash flow and NPV breakdown by months and items.

Python, pandas, NumPy, or other financial libraries are perfectly fine, but if you have a faster approach (AutoML, Excel-VBA, or proprietary), I am open to hearing it. As long as the numbers are defensible and the workflow is repeatable, the tech stack is up to you.

Target delivery: within one month. I will provide fast feedback on each milestone so we can lock the logic early and leave buffer time for polish and testing.