# Technical Due Diligence

Independent technical truth for a consequential transaction or commitment. Fundraising, acquisition, investment, vendor selection, platform migration, or repair-versus-rebuild decisions.

- **Canonical URL:** https://vidhata.me/services/technical-due-diligence
- **Author:** Vidhatanand V. (Vid)
- **Role:** Fractional CTO and AI Systems Architect

## When this fits

Fundraising, acquisition, investment, vendor selection, platform migration, or repair-versus-rebuild decisions.

## How I would approach it

I would treat diligence as decision support, not a performance for either side. I will test the important claims against architecture, code, data rights, dependencies, team concentration, and the operating evidence that is available. You will know what is solid, what is assumed, what is missing, and what each gap means for the decision.

## Useful artefacts, not ceremonial deliverables

### Architecture and codebase assessment

The important technical claims tested against structure, behaviour, and available evidence.

### AI, data-rights and security dependencies

External exposure, ownership gaps, permissions, and switching constraints made visible.

### Team, vendor and delivery concentration risks

Where knowledge or execution depends too heavily on one person, supplier, or path.

### Evidence boundary and decision memo

What is solid, assumed, missing, and material to the commitment in front of you.

## Other ways to work together

- [Fractional CTO for AI Products](https://vidhata.me/services/fractional-ai-cto)
- [Seven-Day Production Prototype](https://vidhata.me/services/seven-day-production-prototype)
- [Architecture & Reliability Audit](https://vidhata.me/services/architecture-reliability-audit)
- [AI Product Rescue](https://vidhata.me/services/ai-product-rescue)

## Work with Vid

Start with the actual technical pressure: [bring the problem](https://vidhata.me/hire).