Ref 2a
AI Governance Framework
Explain lifecycle governance, approval gates, escalation paths, and role ownership for AI systems.
Trust Center
Public Documentation
Browse the trust and governance documents published on the IndusLabs website.
Open Direct Link
Ref 2c
AI Performance, Risk and Escalation Reporting
Describe KPI monitoring, incident reporting, management reporting cadence, and escalation triggers.
Ref 2d
AI Risk Register and Review Workflow
Show how AI risks are identified, scored, assigned, tracked, and closed before release.
Ref 2f
AI System and Model Inventory
Publish the metadata IndusLabs tracks for AI systems, providers, owners, risk tiers, and kill-switch paths.
Ref 3a
Bias, Manipulation and Safety Suspension Policy
Define unacceptable outputs, alert thresholds, emergency suspension, and remediation workflow.
Ref 3c
Bias Testing Standard
State when bias testing runs, what artifacts are retained, and when release must be blocked.
Ref 4a
AI Interaction Disclosure Standard
Require first-turn disclosure across web, voice, messaging, and API-based assistants.
Ref 4c
Bilingual AI Disclosure and Readability Standard
Define approved disclosure text in English and Arabic, plus readability checks and versioning.
Ref 4d
Clarification, Complaint and Human Handoff Policy
Explain how users can request clarification, raise complaints, and reach a human with a tracked case.
Ref 4e
AI Opt-Out and Human Alternative Policy
Describe when users can switch to a non-AI path and how that choice is respected.
Ref 5a
Gulf (GCC) Personal Data Protection Notice — PDPL
Explain how voice AI data belonging to individuals in the GCC is handled under the Gulf PDPL regimes, and where it is processed.
Ref 5b
India DPDPA Compliance Notice
State how IndusLabs meets its obligations as a Data Fiduciary under India’s Digital Personal Data Protection Act, 2023.
Ref 5c
Security-by-Design for AI Systems
Describe baseline security controls, secrets handling, protected routes, and pre-release review expectations.
Ref 5d
Resilience, Stress Testing and Incident Readiness
Set expectations for load testing, failover, timeout budgets, rollback, and DR readiness.
Ref 6a
AI Monitoring Metrics and Alert Thresholds
Define live KPIs, thresholds, alert routes, and monthly management reporting expectations.
Ref 6c
AI Incident Classification, Escalation and Postmortems
Standardize AI issue severity, response targets, escalation, and postmortem evidence.
Ref 7a
Human Oversight Model by Use Case
Describe when each use case is HITL, HOTL, or HOOTL and who owns intervention rights.
Ref 10
Responsible AI Collaboration and Public Accountability
Outline how IndusLabs intends to publish learnings, contribute externally, and update transparency materials.