RISGRA provides a connected, governed reference model for governance, risk and regulated value-chain context.
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A proprietary semantic governance model of how governance, risk and compliance (GRC) are intended to operate across an organisation and along its value chain.
What RISGRA is
RISGRA is an extensible, bank-grade semantic governance model for regulated organisations. It brings governance, risk, policy, controls, accountabilities, obligations and value-chain relationships into a coherent governed context.
What RISGRA does
RISGRA provides a coherent baseline against which policy, controls, accountabilities, obligations and operational dependencies can be interpreted, reconciled and assessed. It helps organisations bring together the nuanced concepts and constructs that are otherwise distributed across fragmented documents, frameworks, control libraries, contracts and systems of record.
For AI-augmented operations, RISGRA provides governed business context. It helps frame AI-enabled work within the relevant policy, control, accountability and evidence context, without displacing existing GRC, enterprise risk management (ERM), workflow or operational systems.
How it is used
RISGRA brings interconnected GRC, ERM and value-chain context into a governed reference model.
This provides a controlled operating context for colleagues and AI-enabled activity: a GRC-sanctioned reference for business meaning, responsibilities, obligations and boundaries.
The objective of semantic control is to ensure that concepts used by humans, systems and AI agents mean the right things, connect in the right way and operate within agreed legal, regulatory and board-approved boundaries.
Why it matters for AI
Banks are not starting with one coherent policy and control architecture. They operate with accumulated documents, overlapping taxonomies, control libraries, role definitions, obligations and system-specific views.
Experienced colleagues can interpret ambiguity and escalate marginal judgement calls. AI-enabled activity needs relevant meaning, boundaries and authority to be made available in a form that can be governed and reviewed.
AI does not simply need more access to data and documents. It needs governed meaning in real time. RISGRA provides a defined basis for considering what should apply in a particular AI-augmented activity, including the appropriate point for human oversight.
AI management systems can connect agents and tools. They do not, by themselves, establish the meaning of policy, authority or control.
RISGRA strategic value
The strategic value lies in time compression. RISGRA provides a developed, extensible baseline, avoiding the need for an organisation to begin with a blank sheet when defining its ERM, GRC, policy, control and value-chain context.
The baseline can be configured and validated for a defined organisation or use case, creating a practical route from a bounded initial application to wider adoption in regulated environments.
Applications
Banking and wider financial services
RISGRA’s most developed baseline is for regulated banking, with wider relevance across financial services. It supports the evaluation of governance, risk, policy, control, accountability, counterparty and value-chain context in selected operating activities.
For banks considering AI augmentation, the immediate question is often not whether an agentic capability can generate an answer or an outcome, but whether the activity has the right authority, control basis, escalation route and evidence. RISGRA provides a governed reference model for addressing those questions.
Insolvency and restructuring
Insolvency and restructuring work is information-rich, data-deficient, time-sensitive and legally constrained. It involves connected duties, decisions, stakeholders, records and evidence, while professional judgement and defensibility remain central.
RISGRA is relevant as a semantic governance capability for AI-assisted insolvency and restructuring case work and complex asset-recovery activity. It provides structured framing and relevant context. It does not replace existing case-management systems; it augments them and supports professional judgement.
The banking–insolvency interface
When a customer or connected business enters financial difficulty, a bank needs to establish exposure, responsibilities, dependencies and recovery considerations quickly across credit, risk, operations, legal and recovery functions.
RISGRA offers a common governance reference across those domains, supporting a more controlled assessment of credit-stress situations while retaining clear accountability and appropriate review.
Aviation risk
RISGRA’s semantic-governance principles also have application in complex aviation settings, including commercial airline operations, compliance and aviation insurance. Initial scoping in the aviation sector is under way.