DGL Systems

The Problem

Organisations are deploying AI to inform consequential decisions. As adoption accelerates, accountability becomes unclear when AI influences outcomes that affect people, capital and risk.

Organisations are deploying AI into decision-making processes at pace
Accountability becomes unclear when AI influences consequential decisions
Existing tools focus on models or compliance processes, not decision accountability

The Solution

The Dynamic Governance Layer (DGL) is governance middleware that sits between AI systems and consequential decisions. Every AI output passes through deterministic and semantic gates before it can influence a decision that matters.

Authority Checks

Verifies the operator holds the correct authority level for the decision being made.

Policy Compliance

Ensures every interaction complies with regulatory, contractual and organisational rules.

Risk Assessment

Evaluates whether AI outputs are factually grounded and appropriately framed before they reach decision-makers.

Escalation Controls

Routes high-risk or out-of-bounds decisions to human reviewers with full context.

Human Accountability

Maintains a clear chain of personal attribution for every AI-assisted decision.

Evidence Generation

Produces verifiable governance evidence for insurers, regulators and boards.