Davincia+

DaVinciA⁺ is intended to be adopted as a reference governance framework within organisations designing, deploying, or overseeing artificial intelligence systems whose outputs influence operational, regulatory, safety, or compliance-relevant processes.

It provides a structural governance overlay that may be applied alongside existing regulatory, quality, and risk-management frameworks.

DaVinciA⁺ does not prescribe tools, platforms, models, or vendors. It defines governance expectations that remain consistent regardless of technical implementation.

DaVinciA⁺ may be adopted in the following contexts:

Enterprise AI systems operating at scale

Regulated environments (e.g. MedTech, Pharma, Finance, Public Sector)

Multi-agent or orchestrated AI workflows

Decision-support or compliance-relevant AI systems

Internal governance, audit, and oversight programmes

Adoption may occur at any stage of system maturity, from early design through post-deployment operation.

Organisations typically use DaVinciA⁺ to:

Define system identity and intent before deployment

Establish explicit boundaries and non-scope

Introduce human-in-the-loop oversight and escalation logic

Structure audit logging and traceability expectations

Support validation lifecycle activities (IQ / OQ / PQ)

Prepare evidence for internal or external governance review

The framework is applied as a governance layer, not as a software system.

DaVinciA⁺ is:

Vendor-agnostic

Technology-neutral

Stack-independent

Implementation-independent

It may be applied across cloud, on-premise, hybrid, and agent-based environments without requiring architectural change or platform migration.