Multiple agents
across departments
Teams are building and adopting AI independently, creating inconsistency and blind spots.
EnterpriseAI Control
For organizations that need controlled AI across teams, systems, agents, and business processes.
Design, approve, monitor, and control AI agents before they act across real business systems.
Business Systems
CRM
ERP
HR
Finance
Support
Other Systems
TRUSTELIS CONTROL LAYER
AI Agents
LOGSAudit & Evidence
APPROVALWorkflows
RULESPolicy Engine
COMPLIANCERecords
AI Agents Are Moving Into Business Operations
Multiple agents
Actions that touch
real systems
AI agents can create, update, or remove business data across critical enterprise systems.
Governance that must
be enforceable
Organizations need visibility, rules, and approvals to ensure safe and compliant operations.
Enterprise Control Architecture
▥Business Systems
CRM
ERP
HR
Finance
Support
Other Systems
♙AI Agents
♙ Agent 01
♙ Agent 02
♙ Agent 03
♙ Agent 04
♙ Agent 05
... More
✣Runtime Gateway
◇Control Layer
Policy Rules EngineDefine & Enforce Rules
Approval WorkflowsHuman-in-the-Loop
Audit LogsComplete Traceability
ComplianceStandards & Reports
Role-Based ControlsAccess & Permissions
Policy ReviewControl Updates
▛Enterprise Oversight
Trust Pack EvidenceProof & Documentation
Security ReviewContinuous Assessment
Risk MonitoringAlerts & Insights
Governance DashboardVisibility & Control
Executive ReportingKPIs & Outcomes
Scale ControlsTeams & Agents
What Enterprise AI Control Includes
Custom Control
Architecture
Designed around your systems, teams, and operational needs.
Advanced Policy
Rules Engine
Define what AI can do, what requires approval, and what must be blocked.
Runtime
Gateway
Validate requests and control tool and system access in real time.
Approval
Workflows
Human-in-the-loop approvals for high-risk or sensitive actions.
LLM Routing &
MCP / Tools Connection
Route requests to the right models, MCPs, and tools with full control.
Audit Logs &
Compliance Evidence
Complete logs, evidence packs, and centralized documentation.
Security Review &
Enterprise Support
Ongoing security reviews, best practices, and dedicated enterprise support.
How Enterprise Implementation Works
Discovery &
Use Case Mapping
Understand your goals, systems, teams, and key AI use cases.
Control Architecture
Design
Design your control layer, policies, workflows, and integration approach.
Pilot Agent
Implementation
Implement and test agents in a controlled scope with controls, logs, and guardrails.
Governance &
Evidence Setup
Establish policies, rules, evidence collection, and operational reporting.
Scale Across
Teams
Expand to more teams, agents, and systems with confidence.
Built For Organizations That Need AI Control Before Scale
✓AI agents are already being tested internally
✓Multiple departments want to use AI
✓AI actions may touch business systems
✓Security or compliance teams need visibility
✓Leadership needs a controlled deployment path
The Outcome
Controlled AI
Deployment
AI agents operate within clear policies, rules, and boundaries.
Clear Approval
Ownership
The right people approve the right actions at the right time.
Reduced AI
Operational Risk
Lower risk through visibility, controls, and automation.
Scalable AI
Governance
A proven framework that scales with your organization.
Ready To Design Your Enterprise AI Control Layer?
Start with an Enterprise Architecture Review and see how controlled AI can work safely across your organization.
EnterpriseAI Control
For organizations that need controlled AI across teams, systems, agents, and business processes.
Design, approve, monitor, and control AI agents before they act across real business systems.
Enterprise Control Architecture
Business SystemsCRM, ERP, HR, Finance, Support, and internal tools.
AI AgentsMultiple agents across departments and business workflows.
Runtime GatewayValidate requests before AI reaches tools or systems.
Control LayerPolicy rules, approvals, logs, compliance, and role-based controls.
Enterprise OversightSecurity review, Trust Pack evidence, dashboards, and reporting.
AI Agents Are Moving Into Business Operations
Multiple agents across departments
Teams are adopting AI independently, creating inconsistency and blind spots.
Actions that touch real systems
AI agents can create, update, or remove business data across enterprise systems.
Governance that must be enforceable
Visibility, rules, approvals, and audit evidence are required before scale.
What Enterprise AI Control Includes
Custom Control Architecture
Designed around your systems, teams, and operational needs.
Advanced Policy Rules Engine
Define what AI can do, what needs approval, and what must be blocked.
Runtime Gateway
Validate requests and control tool and system access in real time.
Approval Workflows
Human-in-the-loop approvals for high-risk or sensitive actions.
LLM Routing & MCP / Tools Connection
Route requests to the right models, MCPs, and tools with full control.
Audit Logs & Compliance Evidence
Complete logs, evidence packs, and centralized documentation.
Security Review & Enterprise Support
Ongoing security reviews, best practices, and dedicated enterprise support.
How Enterprise Implementation Works
Discovery & Use Case Mapping
Understand your goals, systems, teams, and key AI use cases.
Control Architecture Design
Design your control layer, policies, workflows, and integration approach.
Pilot Agent Implementation
Implement and test agents in a controlled scope with controls, logs, and guardrails.
Governance & Evidence Setup
Establish policies, rules, evidence collection, and operational reporting.
Scale Across Teams
Expand to more teams, agents, and systems with confidence.
Built For Organizations That Need AI Control Before Scale
✓AI agents are already being tested internally
✓Multiple departments want to use AI
✓AI actions may touch business systems
✓Security or compliance teams need visibility
✓Leadership needs a controlled deployment path
The Outcome
Controlled AI Deployment
AI agents operate within clear policies, rules, and boundaries.
Clear Approval Ownership
The right people approve the right actions at the right time.
Reduced AI Operational Risk
Lower risk through visibility, controls, and automation.
Scalable AI Governance
A proven framework that scales with your organization.
Ready To Design Your Enterprise AI Control Layer?
Start with an Enterprise Architecture Review and see how controlled AI can work safely across your organization.