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Proposal automation

Tendra AI

An AI-native proposal workspace for RFPs, tenders, grants, and sales offers from intake to export.

Outcome
A proposal operating surface that frames AI around fit checks, compliance, drafting, budget review, approvals, and export.
Next.jsAI workflowDocumentsComplianceVercel
Tendra AI proposal workspace landing page with workflow cards.
Challenge
Proposal teams lose time moving between intake, requirement extraction, compliance checks, drafting, budget review, and final export.
Approach
01

Frame the landing page around the full proposal lifecycle rather than a single AI text generation feature.

02

Make AI command center, structured workflow, and compliance assurance visible as product pillars.

03

Use a clean SaaS surface that can support future authenticated workspaces and proposal operations.

Project article

Why this project matters.

A short review of the product surface, workflow signal, and portfolio value.

Tendra AI packages tender and proposal automation into a product narrative that maps directly to business operations. It does not treat proposal AI as a prompt box; it treats it as a workspace with stages.

The visible workflow covers intake, fit, plan, draft, compliance, review, budget, and export. That matters because proposal teams need repeatable process control, not just generated paragraphs.

This article belongs on the portfolio because it ties together AI document analysis, workflow design, compliance thinking, and the kind of SaaS architecture employers expect from senior full-stack AI work.

Proof points

What the system makes visible.

These are the artifacts that make the project usable beyond the first demo.

AI command center
Structured proposal workflow
Compliance assurance
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