Purpose and power
Define the approved use case, prohibited use, accessible data, available tools and maximum autonomy.
Governance & Safety
Plan for value. Design for failure.
The governance promise
Not an audit badge. An operating safety system.
Lynqra examines what the system sees, recommends and does; who remains accountable; how performance is tested; and what happens when the model, data, vendor or workflow fails.
Named human ownership
Set decision rights, review points, escalation paths and clear responsibility for outcomes.
Test and monitor
Establish known-case tests, thresholds, logs, exception reviews and incident-response evidence.
System review
What the full dive covers.
The review is mapped to the realities of the system and informed by Singapore guidance, including IMDA's Model AI Governance Framework for Agentic AI and applicable personal-data obligations.
AI system inventory
Models, agents, workflows, vendors, dependencies, owners and user groups.
Use and risk tiering
Purpose, affected people, decision consequence, autonomy and prohibited boundaries.
Data and access map
Inputs, personal data, retention, permissions, tool access and cross-system movement.
Human control design
Meaningful checkpoints, overrides, escalation and named accountability.
Testing and thresholds
Expected cases, edge cases, harmful failure modes and acceptance criteria.
Monitoring and evidence
Logs, alerts, review cadence, change records and control-performance measures.
Failure and incident plan
Detection, containment, human fallback, recovery, notification and learning.
Leadership summary
Material risks, decisions required, control gaps and a prioritised remediation plan.
Control by consequence
Autonomy is earned, not assumed.
A low-consequence drafting assistant and an agent that can send, approve or change records should not receive the same controls. We increase assurance with consequence, reach and reversibility.
Illustrative control depthRisk-based
Assist
No external action
Low-consequence support
Draft onlyUser verification, approved sources and sampled quality checks.
No external action
Recommend
Human decides
Material decision support
Decision aidDocumented test set, thresholds, explanations and a competent human reviewer.
Human decides
Act
Continuous review
Bounded system action
Reversible firstLeast privilege, transaction limits, monitoring, approval gates and emergency stop.
Continuous review
Framework alignment
Practical alignment, without invented certification.
Our work can be mapped to relevant Singapore guidance and organisational obligations, but Lynqra does not present a voluntary framework as binding law or claim legal, regulatory or certification authority.
Where specialist legal, privacy or cybersecurity advice is required, we define the question and coordinate with the appropriate qualified partner.
Governance deliverables support responsible management and compliance work. They are not a legal opinion, statutory audit or guarantee that an AI system cannot fail.
Know what the system can do before it does it.
Bring one live or planned AI system. We will assess whether a focused review or a broader readiness engagement is the right next step.
Discuss a system review