One platform to govern every AI decision path.
NKIntel gives regulated teams the control layer required to scale AI with confidence.
Inventory AI systems, route governance workflows, manage risk, and produce audit-ready reporting from a single workspace.
Built for modern governance teams
from intake to audit
A Credo-style governance architecture, written in NKIntel voice and tuned for enterprise operations.
AI Use Case Management
Bring every AI initiative into one operating system.
Create a complete inventory from idea to production so risk, legal, and engineering teams collaborate from one source of truth.
- Track every AI use case from intake to deployment
- Route approvals to legal, compliance, and ethics owners
- Classify use cases by business impact and risk
Shadow AI Detection
Find unsanctioned AI before it becomes enterprise risk.
Monitor AI tooling and API usage across departments, prioritize exposure, and route actions through formal governance workflows.
- Continuously discover unapproved AI tools and integrations
- Prioritize exposure with automated scoring
- Push findings into approval and remediation flows
Regulation and Framework Compliance
Translate complex rules into executable tasks.
Map controls to the frameworks you follow and keep a live view of readiness across your organization.
- Map obligations to EU AI Act, NIST AI RMF, ISO standards, and local regulations
- Auto-generate audit documentation tied to controls
- Track regulatory changes and overdue actions
Policy Management
Turn governance principles into enforceable policy.
Create, version, approve, and connect policies directly to use cases, controls, and accountable owners.
- Start from practical policy templates and adapt for your business
- Capture stakeholder sign-off and revision history
- Link policies to controls and active AI programs
Evidence Management
Keep proof organized before audit season starts.
Centralize artifacts so teams can prove control effectiveness without manual evidence hunts.
- Maintain a control-linked evidence repository
- Highlight missing artifacts and stale documents
- Export evidence packs for internal and external reviews
Automations
Reduce manual governance work with workflow automation.
Trigger alerts, approvals, reminders, and escalations automatically so governance keeps pace with product delivery.
- Run rule-based escalation workflows
- Schedule recurring compliance checks
- Send smart reminders for pending tasks
Model Inventory
Maintain complete model visibility across the stack.
Track model lineage, ownership, versions, dependencies, and vulnerabilities in one registry.
- Document lineage, data sources, and deployment status
- Assign owners and keep model history current
- Flag certification, patching, and review deadlines
Risk Management
Prioritize AI-specific risks with control-level ownership.
Use a dedicated AI risk taxonomy and quantified scoring to focus resources on what matters most.
- Capture risks like bias, drift, data poisoning, and misuse
- Score risk consistently across the AI portfolio
- Link risks to controls, owners, and due dates
Vendor Management
Extend governance to every third-party AI supplier.
Assess vendor posture, certification status, and contractual obligations with the same rigor as internal AI systems.
- Catalog vendors with risk and certification profiles
- Evaluate against security, privacy, and ethics requirements
- Monitor SLA and certification expirations
Audit Logs
Preserve an immutable record of every governance action.
Create defensible accountability by logging approvals, policy changes, risk updates, and evidence exports.
- Capture who changed what and when
- Generate regulator- and auditor-ready trails
- Flag unusual activity patterns automatically
Reporting
Generate stakeholder-ready compliance reporting in one click.
Build framework-specific reports and distribute them automatically to board committees and operational owners.
- Use templates aligned to your frameworks
- Export individual or consolidated report packs
- Schedule delivery to executive and governance audiences
Integrations
Connect governance into your existing delivery workflows.
Integrate with ML platforms, GRC tools, and CI/CD systems to embed governance where teams already work.
- Sync model and risk metadata from platform tools
- Add governance checkpoints into engineering pipelines
- Use APIs and webhooks for custom enterprise integrations
Whether you build,
buy, or blend AI systems
NKIntel adapts governance to your operating model without forcing a redesign of your stack.
Control custom AI programs end-to-end.
For teams shipping internal models and assistants that need clear ownership, review gates, and release accountability.
Govern third-party AI vendors with confidence.
For organizations relying on external AI tools, APIs, and copilots that require procurement-grade due diligence and monitoring.
Unify governance across mixed AI estates.
For enterprises operating internal, purchased, and experimental AI simultaneously. Keep one policy and reporting layer across all of it.
Aligned to global and local standards
without duplicate work
EU AI Act
European Union
Risk-based governance obligations for AI systems, including controls for high-risk use cases and transparency requirements.
NIST AI RMF
United States / Global
A practical framework for governing, mapping, measuring, and managing AI risk across the lifecycle.
ISO/IEC 42001
International
Management system standard for organizations building and operating AI responsibly at scale.
ISO/IEC 27001
International
Information security controls that complement AI governance and third-party assurance programs.
POPIA
South Africa
Data protection obligations relevant to automated processing, decision support, and privacy-by-design controls.
Internal Governance Codes
Enterprise-Specific
Map your own board policies, ethics principles, and risk taxonomies into operational controls and reporting.
See NKIntel on your
own AI landscape.
In a live walkthrough, we map your use cases, controls, and reporting requirements into a practical implementation plan.