AI Applicability & Legal Risk Assessment
Identify applicable laws, sectoral requirements and risks for AI systems and use cases.

Legal, governance and risk support for responsible AI design, procurement, deployment and monitoring.
Identify applicable laws, sectoral requirements and risks for AI systems and use cases.
Develop governance structures, model policies, oversight mechanisms and risk-management frameworks.
Address personal data, consent, confidentiality, ownership and rights in AI development and deployment.
Review AI licensing, SaaS agreements, vendor obligations, warranties and commercial risk allocation.
Assess fairness, transparency, explainability, human oversight and consequential decisions.
Support ongoing compliance, incident governance, risk review and regulatory engagement.
AI governance connects business purpose with data, model design, human oversight, transparency, security and accountability. A proportionate governance framework can help organisations understand risks across the AI lifecycle and document decisions as technology and regulation evolve.

Assess relevant rules, sector guidance, contracts and existing obligations.
Define owners, approval paths, human review and escalation.
Review training data, outputs, rights, fairness and security concerns.
Document intended use, limitations and user-facing disclosures.
Enable teams to deploy AI with practical risk controls.
Monitor regulatory change and maintain auditable governance records.
AI governance connects business purpose with data, model design, human oversight, transparency, security and accountability. A proportionate governance framework can help organisations understand risks across the AI lifecycle and document decisions as technology and regulation evolve.
Organisations adopting AI across products, operations and decision-making.
Developers and deployers building AI products and services.
Entities using automated tools in customer, risk and operational processes.
Businesses applying AI to health data, operations or decision support.
Organisations deploying AI in production, workforce or learning settings.
Groups managing AI systems and obligations across jurisdictions.

The right approach depends on the organisation, activity, applicable law and operational requirements.
| Parameter | AI Governance | DPDP Compliance | Cybersecurity Advisory |
|---|---|---|---|
| Primary purpose | Governance of AI systems | Personal data protection | Security and incident compliance |
| Focus area | Ethics, legal risk and accountability | Consent, notices and data rights | Security controls and reporting |
| Output | AI governance framework | DPDP compliance plan | Cybersecurity compliance plan |
| Typical users | Board, legal, product and risk teams | Data fiduciaries and compliance teams | IT, security and risk teams |
This comparison is illustrative and does not replace an assessment of the relevant facts and current legal requirements.
Understand AI use, map legal and operational risks, implement proportionate controls and maintain ongoing oversight.
Understand business objectives, AI systems, providers and intended use.
Identify applicable laws, sector guidance, roles and system lifecycle.
Evaluate data, IP, bias, transparency, security and human-oversight risks.
Define policies, approval pathways, roles, monitoring and escalation.
Prepare vendor terms, internal records, notices and governance materials.
Establish response procedures and management oversight for AI issues.
Track regulatory changes, system updates, incidents and audit evidence.
The final checklist depends on the organisation, activities, data or service model and applicable jurisdictions.
Professional fees depend on scope, complexity, number of stakeholders, jurisdictions and review requirements. Government fees, stamp duty and third-party charges are separate and confirmed against applicable requirements.
For complex ownership, activity-specific permissions, foreign participation or tailored requirements.
Get a QuoteGovernment charges, applicable taxes and third-party costs are confirmed separately as part of the proposed scope.
Answers to common questions about ai governance & regulatory advisory, legal requirements and advisory support.
Perspectives shared with permission by clients of our advisory teams.
Astronis Global brought clarity and commercial focus to a complex restructuring exercise. Their advice was practical, timely and easy for our leadership team to act on.
The team understood our regulatory requirements quickly and helped us move forward with confidence. We valued their responsiveness and disciplined follow-through.
Astronis Global provided dependable support across multiple registrations and approvals. Their communication was clear, structured and consistently professional.
Guides and checklists for ai governance & regulatory advisory, governance and implementation planning.
From regulatory assessments and governance frameworks to data protection, algorithmic risk and incident response, support responsible AI adoption.
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