Every agent in our organization has a role, approved access, an audit trail, and an expiry date — just like a human employee.
8Governed agents
1Pending approval
6MCP servers
47MCP tools
Every role governed · Every access approved · Every action auditable
AI Workforce Governance
Onboard AI workers like employees
Manage AI workers like employees. Every AI worker requires a role, owner, access scope, approvals, and continuous monitoring — not a developer registration form or agent registry.
✓ A job description
✓ A business owner
✓ Approved access
✓ Governance review
✓ Continuous monitoring
What employees have
What the Control Tower provides
Mission & role
AI Workforce Onboarding wizard
Role & permissions
Data access request + Permission Graph
Manager approval
Security → Compliance → Business Owner
Onboarding
AI Workforce Management workflow
Performance review
Risk scoring / drift
Access audits
Audit evidence
Termination
Rollback / decommission
The question is no longer "What can this agent do?" — it's "Who approved this agent to do that?"
Tier 1 value proposition
What enterprise buyers ask
Buyer
Question
AIEdge answer
CIO
How do we manage our AI workforce?
Control Tower with inventory of all agents, models, and MCPs
CISO
What can our AI workforce access?
Permission graph showing every access path
Compliance
Who approved that access?
Multi-stage approval workflow with audit evidence
Board
Are we in control of AI?
Discovery confidence score + risk metrics
Identity foundation
Login powers AI Workforce Identity Management
Authentication is not a side feature — it is the foundation for governing your entire AI workforce. Every human employee, AI agent, MCP server, and service account gets the same governance model.
Human IdentityEmployees · Contractors · Admins · Reviewers
AI Worker IdentityAgents · Copilots · Assistants · Automations
MCP Server IdentityGitHub · Jira · Epic · PACS
Service AccountAPI keys · Tokens · OAuth apps
Same governance for every identity type: roles · permissions · approvals · audits · reviews · termination
Capabilities
AI Workforce Inventory
Shadow AI Discovery
AI Workforce Governance
AI Workforce Risk Management
Continuous Monitoring
AI Workforce Compliance
Clinical AI Compliance
Accessibility Compliance
Audit Evidence & Procurement Packages
Executive AI Risk Dashboard
Aligned with modern AI governance frameworks including NIST AI RMF, responsible AI practices, and enterprise compliance requirements.
SD Panthers does not build diagnostic AI models. We provide the governance, oversight, compliance, and audit infrastructure that organizations need to safely operate AI at scale.
Product suite
Enterprise AI Control Tower
Enterprise AI Control Tower→Governance→Control Tower→AI Workforce
Live Nexus runtime snapshot — registry, fleet posture, drift, and governance flow.
Risk & compliance loop
Industry verticals
Drift alerts
Recent telemetry
Fleet health
Registered edge devices — vehicles, robots, wafer inspection, line cameras, and gateways with live heartbeat metrics.
Inventory
Governed catalog of discovered AI assets — agents, MCP servers, prompts, deployments, and access paths. AI Access Intelligence maps who can reach what.
Executive AI Risk Dashboard
Clinical AI Control Tower
Show every AI system, every AI worker, every validation record, every change request, and every approval in one place —
governed clinical AI operations, not disconnected compliance checklists.
Governance and audit evidence only — not a diagnostic platform.
Audit Evidence
Export inspection-ready packages — validation records, change approvals, workforce access, and discovery evidence in one bundle.
Model health
Registered models, risk tiers, compliance tags, and drift signals across the fleet.
Deploy an AI Worker
Onboard edge agents and runtime workers through the governance pipeline — install, register, assign owner, define permissions, approve, activate.
Governance Board
Pending reviews, approval history, and multi-stage governance workflow — human-in-the-loop before production AI changes.
Waiver lifecycle, continuous OTA delta assessment, and compliance certificates — ISO 26262-aligned evidence management, traceability, gate reviews, waiver handling, and continuous compliance support for AI-enabled deployments. Not certification authority.
Continuous compliance history
Credits & usage
Operational credits for compute, governance, and Quantum Studio agents — with department chargeback, budget alerts, and business-outcome ROI (not LLM token billing).
Your differentiator — discover AI assets, Shadow AI, AI workers, MCP servers, prompts, deployments, and spend across the organization. Connectors feed in; inventory, governance, and audit are the output.
AI Workforce Management
Manage AI workers like employees — role, owner, access scope, approvals, and continuous monitoring for your entire governed fleet.
Identity Center
Unified identity for humans, AI workers, MCP servers, and service accounts — roles, permissions, approvals, and audits for every identity type.
AI Workforce Management
Onboard AI workers like employees.
Every AI worker requires a purpose, owner, approved access, and governance review before activation — the same accountability model as human employee onboarding.