The Constanci platform
One platform. Complete AI oversight.
From visibility to governance, from execution to measurable outcomes.
Enterprise AI Governance
Establish governance without stopping innovation.
- AI asset and agent inventory
- AI usage visibility
- Policy management
- Role-based access control
- Risk classification
- Approval workflows
- Audit trails
- AI activity monitoring
- Data governance controls
- Compliance reporting
Capabilities describe the proposed platform architecture; availability may vary by deployment.
The problem — Shadow AI
Clarity precedes control.
Employees are adopting artificial intelligence faster than most organizations can establish controls. Sensitive documents, confidential information and customer data may be flowing into tools no one has approved.
Shadow AI
Discover and understand AI usage across the enterprise.
Data Exposure
Identify potential risks involving confidential information and intellectual property.
Governance Gaps
Establish clear policies, permissions, approvals and accountability.
Compliance Risks
Support evidence collection, traceability and organizational compliance processes.
Governance dashboard
Every intelligence, one composed view.
An interactive look at how decision-makers could oversee AI across the enterprise.
AI systems monitored
148
Registered AI agents
37
Risk events
12
Active policies
64
Tasks executed
18,420
Pending approvals
9
AI activity — last 12 weeks
Hover bars
Enterprise AI execution
Software that no longer assists. It delivers.
Traditional software helps people perform work. Intelligent enterprise systems can execute defined workflows, manage exceptions and deliver measurable results — under governance.
STEP 01
Input
Secure enterprise documents and business data.
STEP 02
Intelligence
AI analyzes and structures information.
STEP 03
Governance
Policies, permissions and safeguards are applied.
STEP 04
Execution
Approved workflows and AI agents perform tasks.
STEP 05
Verified Outcome
Results are recorded, reviewed when required, and measured.
Outcomes, not just seats.
Constanci supports a potential hybrid commercial model that combines platform subscriptions, AI processing volume and outcome-based services — aligning what you pay with the work AI actually performs. Results depend on each organization's processes and oversight.
