Trust Center
The security, privacy and governance documents we publish, each with what it covers and what we commit to.
- Ref 2aAI Governance FrameworkExplain lifecycle governance, approval gates, escalation paths, and role ownership for AI systems.Read
- Ref 2cAI Performance, Risk and Escalation ReportingDescribe KPI monitoring, incident reporting, management reporting cadence, and escalation triggers.Read
- Ref 2dAI Risk Register and Review WorkflowShow how AI risks are identified, scored, assigned, tracked, and closed before release.Read
- Ref 2fAI System and Model InventoryPublish the metadata IndusLabs tracks for AI systems, providers, owners, risk tiers, and kill-switch paths.Read
- Ref 3aBias, Manipulation and Safety Suspension PolicyDefine unacceptable outputs, alert thresholds, emergency suspension, and remediation workflow.Read
- Ref 3cBias Testing StandardState when bias testing runs, what artifacts are retained, and when release must be blocked.Read
- Ref 4aAI Interaction Disclosure StandardRequire first-turn disclosure across web, voice, messaging, and API-based assistants.Read
- Ref 4cBilingual AI Disclosure and Readability StandardDefine approved disclosure text in English and Arabic, plus readability checks and versioning.Read
- Ref 4dClarification, Complaint and Human Handoff PolicyExplain how users can request clarification, raise complaints, and reach a human with a tracked case.Read
- Ref 4eAI Opt-Out and Human Alternative PolicyDescribe when users can switch to a non-AI path and how that choice is respected.Read
- Ref 5aGulf (GCC) Personal Data Protection Notice — PDPLExplain how voice AI data belonging to individuals in the GCC is handled under the Gulf PDPL regimes, and where it is processed.Read
- Ref 5bIndia DPDPA Compliance NoticeState how IndusLabs meets its obligations as a Data Fiduciary under India’s Digital Personal Data Protection Act, 2023.Read
- Ref 5cSecurity-by-Design for AI SystemsDescribe baseline security controls, secrets handling, protected routes, and pre-release review expectations.Read
- Ref 5dResilience, Stress Testing and Incident ReadinessSet expectations for load testing, failover, timeout budgets, rollback, and DR readiness.Read
- Ref 6aAI Monitoring Metrics and Alert ThresholdsDefine live KPIs, thresholds, alert routes, and monthly management reporting expectations.Read
- Ref 6cAI Incident Classification, Escalation and PostmortemsStandardize AI issue severity, response targets, escalation, and postmortem evidence.Read
- Ref 7aHuman Oversight Model by Use CaseDescribe when each use case is HITL, HOTL, or HOOTL and who owns intervention rights.Read
- Ref 10Responsible AI Collaboration and Public AccountabilityOutline how IndusLabs intends to publish learnings, contribute externally, and update transparency materials.Read