🧬 Flask Track Docs

Flask Track — Auditor & Compliance Overview

Purpose

Flask Track is a laboratory operations, compliance, and traceability platform designed to support regulated and operationally controlled biological workflows.

The platform integrates:

directly into day-to-day laboratory operations.

Flask Track is designed to provide continuous operational traceability rather than retrospective documentation alone.

What Flask Track Manages

Flask Track governs laboratory operations across the full experimental lifecycle.

Operational Entities

The platform manages:

These entities are interconnected and fully traceable throughout execution.

Workflow Execution

Flask Track controls execution through:

Execution history is preserved permanently and linked directly to operational context.

Compliance & Quality Systems

Flask Track includes integrated systems for:

Compliance is evaluated continuously during operational execution.

Organizational Isolation & Access Control

All data belongs to a specific organization.

Organizations are logically isolated from one another and maintain separate:

Access is controlled using role-based authorization systems.

Role-Based Permissions

Flask Track supports structured operational roles such as:

Permissions determine:

Unauthorized actions are blocked at the application and API level.

Regulatory Classification

Flask Track uses structured regulatory tags to classify operational entities and workflows.

Examples include:

Tags may be attached to:

Regulatory tags are machine-readable and drive runtime compliance evaluation.

Compliance Surface Derivation

Compliance applicability is derived automatically from operational relationships.

For example, a sample or batch may inherit regulatory context from:

This creates a derived compliance surface representing the full operational compliance context of the work being performed.

Enforcement Mechanisms

Compliance is enforced through several integrated systems.

Compliance Frameworks

Frameworks define:

Compliance Checklists

Checklists define specific operational requirements that must be satisfied during execution.

Examples include:

Checklist applicability is dynamically evaluated using operational context.

Checklist Scope

Checklist scopes determine when requirements apply.

Scope conditions may include:

This allows compliance requirements to remain targeted and operationally relevant.

Authorization Rules

Authorization systems may:

Enforcement occurs before and during execution, not only during review.

Runtime Compliance Enforcement

Compliance evaluation occurs continuously during operational execution.

Examples include:

Operational compliance status is derived from real execution state rather than static assignment.

Evidence Collection

Flask Track captures compliance evidence directly during operational execution.

Examples include:

Evidence remains permanently linked to the operational context in which it was captured.

Compliance Events & Incident Tracking

Flask Track records operational incidents using Compliance Events.

Examples include:

Events include:

Compliance events become part of the permanent operational history.

Audits

Audits represent formal point-in-time evaluations of compliance posture.

Each audit records:

Audit outcomes may include:

Audit records become immutable once finalized.

Immutable Audit Log

All significant operational and compliance activity is recorded in an append-only audit log.

Audit records may include:

Examples include:

Audit records cannot be modified or deleted.

Historical Integrity

Flask Track preserves historical operational state.

The platform maintains:

This allows organizations to reconstruct operational and compliance state at any point in time.

API & Automation Support

Compliance systems are accessible through authenticated APIs.

Authorized integrations may:

API activity follows the same authorization and audit rules as the user interface.

Operational Traceability

Flask Track maintains end-to-end traceability across:

A single sample or batch can be traced throughout its complete operational lifecycle.

Key Assurance Statement

Flask Track embeds compliance, traceability, and operational accountability directly into laboratory execution.

Compliance is not maintained through disconnected spreadsheets, paper records, or retrospective reconstruction.

Operational activity is:

Nothing is silently overwritten, hidden, or detached from operational history.

The system is designed to support defensible, review-ready laboratory operations in regulated and operationally controlled environments.