Quorval

# Quorval

> AI-native BA, delivery & validation platform · 80+ modules

An AI-native business analysis and delivery platform: meetings become BABOK-tagged requirements, traceability, risk, signed approvals and audit-ready evidence — in one validated workspace.

## Outcome

**From meeting to signed, audit-ready requirements in one place.**

- Requirements are captured during the call, with the quote that proves them
- Audit evidence builds itself as the work happens, instead of being assembled at the end
- Coverage gaps surface before testing, not at go-live
- One workspace replaces five separate tools

## Problem

Business analysts and delivery teams juggle a recorder, a requirements tool, a risk register, a change log, e-signatures, Jira and a pile of documents. Decisions made in meetings get lost between them — and in regulated companies the audit evidence ends up scattered across email and shared drives.

## Solution

Quorval puts capture, analysis, requirements, traceability, risk, approvals and evidence into one workspace. A decision made in a meeting becomes a cited requirement that stays linked to its risks, tests, changes and sign-offs, so nothing is lost between tools and the audit trail is built while the work happens.

| Problem | Solution |
| --- | --- |
| Requirements are lost between the meeting and the document. | The AI coach flags requirements and risks live, and each one is saved with the source quote and the meeting moment it came from. |
| Audit evidence is scattered across email and drives. | Part 11 e-signatures, an immutable audit trail and one-click PDF audit packets bundle the clip, requirement, sign-off and RTM together. |
| Gaps are found late, at testing or go-live. | Bidirectional traceability with gap detection and auto-generated UAT scripts show uncovered requirements early. |
| Teams re-key work into Jira and other tools. | The Integration Hub syncs with 14+ tools through a field-mapping studio. |

## Features

- Meeting bot or manual capture for Zoom, Teams, Meet and in-person, with live transcription and speaker attribution
- Private AI coach giving real-time elicitation guidance during the call
- Requirements, business rules and data mappings tagged to BABOK, with source quotes
- 21 BABOK diagrams and process intelligence generated from transcripts
- Document mining: SOPs, RFPs and legacy specs turned into cited draft requirements
- One-click BRDs, FRDs, minutes, UAT plans and PDF audit packets
- Traceability matrix, risk register, CAPA, root-cause analysis and impact management
- Regulation library with conflict review and change calendar
- Project plans with Gantt, milestones, calendar invites and multi-party approvals
- 7 lifecycle phases and 6 signed gates (Charter, URS, Design, Build, TSR, Go-Live)
- Stakeholder portal, pulse surveys and Delivery Hub guided walkthroughs
- Supervisor dashboards, BA performance scores and skill assessments
- Integration Hub for 14+ tools (Jira, Azure DevOps, Confluence, GitHub…) with field-mapping studio
- BI API, bring-your-own storage, vendor marketplace and support desk

## Tech stack

- React + TypeScript
- Vite
- Tailwind / Radix UI
- Lovable Cloud (Postgres, auth, storage, serverless functions)
- Lovable AI Gateway (Gemini models, embeddings)
- Recall.ai meeting bots
- Resend email
- React Flow, Excalidraw, tldraw, Mermaid, PlantUML
- docx / jsPDF / ExcelJS exports
- Playwright tests

## Notable components

- Live elicitation coach that tracks target topics during the call
- Hash-chained 21 CFR Part 11 e-signatures with re-verification
- Auto-traceability: AI links requirements to risks, tests and changes
- Process intelligence: compare a recorded process with what people said they do
- Scheduled AI evaluations and model cards to monitor AI quality
- Learning memory and BABOK method embeddings that shape AI output

## Compliance

- Designed to 21 CFR Part 11, GxP and GAMP 5; SOX-ready mode
- Immutable audit trail, CAPA, RCA and FMEA risk scoring
- GDPR Data Processing Addendum, Security Addendum, Subprocessor List
- Security & LLM Data Use Compliance Statement; Vulnerability Disclosure Policy
- MFA, data retention cleanup, account deletion and AI usage logging

## Scope

- 87 backend services built and running in production
- 90 app screens across 7 lifecycle phases and 6 signed gates
- 178 versioned database changes, with access rules for each tenant
- 5 published trust and compliance documents

## Links

- Live: https://quorval.com

## Author

Candace Hagood · Product & Quality Leader · AI Engineering