CAPORIA CORE
The enterprise control plane for governed AI agents.
CAPORIA CORE manages how agents are registered, connected, governed, monitored and measured across the enterprise. CAPORIA combines the platform with implementation and managed operations to move selected workflows into production.
Three layers. One operational record.
Agent Control Layer
Know which agents are operating, what they are responsible for, what they are allowed to access and who remains accountable.
Agent Registry
Maintain a structured record of agents, responsibilities, owners and status.
Identity & Access
Define access by tenant, user, role, Agent and operational purpose.
Versions & Lifecycle
Manage releases, changes, activation, pause, rollback and retirement.
Policies & Approvals
Apply rules and route sensitive actions to responsible people.
Enterprise Context Layer
Give agents the right context—not unlimited access.
Data
Current operational facts and structured business records.
Memory
Context retained from approved interactions and operational history.
Knowledge
Reviewed and versioned policies, procedures and professional expertise.
Trace
A record of access, decisions, actions, intervention and outcomes.
MCP & Connectors
Controlled connections to enterprise tools, databases, documents and systems.
Execution & Outcome Layer
See what agents did—and what the business received.
Execution Panorama
A unified view of active runs, waiting states, exceptions and completed work.
Approval Queue
Bring items requiring judgement to the responsible person with relevant context.
Exception Management
Pause, review, reassign, resume or close abnormal workflows.
Human Intervention
Record when and why a person reviewed or changed an Agent action.
Outcome Ledger
Record completed work, acceptance, quality, cost and operational outcome.
Audit Trace
Maintain a traceable record of access, decisions and execution.
Not another chat interface
CAPORIA CORE is the operational control plane behind the applications and workflows where enterprise work takes place. Task-specific interactions remain inside the relevant business workflow. Control, context, approvals and operational records are managed through CORE.
Platform technology, implementation discipline and ongoing operations.
AI Operations Design
We identify workflows suitable for Agent deployment and define the responsibilities, context, controls and measurable outcomes required for production.
Deliverables may include
- Workflow assessment
- Agent operating model
- Context and system map
- Governance design
- Outcome baseline
- Implementation roadmap
Agent Implementation
We connect enterprise systems, configure agents and workflows, establish approval controls, and move selected use cases into controlled production.
Deliverables may include
- Agent configuration
- MCP and system integration
- Data and knowledge preparation
- Testing and evaluation
- Production deployment
- Acceptance and team enablement
Managed Agent Operations
We monitor and improve deployed agents while maintaining human accountability and measurable service outcomes.
Services may include
- Runtime monitoring
- Exception coordination
- Agent version management
- Quality review
- Cost and outcome reporting
- Continuous workflow improvement
One disciplined path from discovery to improvement.
- 1
Discover
Select an operational workflow with clear ownership and business relevance.
- 2
Design
Define the Agent role, context, tools, controls, approvals and success criteria.
- 3
Deploy
Connect required systems and launch the workflow within a controlled scope.
- 4
Govern
Apply access boundaries, policies, approvals and operational accountability.
- 5
Operate
Monitor runs, manage exceptions and involve people when required.
- 6
Improve
Use trace and outcome records to improve reliability, quality and operating cost.
Start with one controlled deployment
Tell us which workflow matters, which systems are involved and what outcome the business needs to achieve.