Scoped data access
Connect only the data sources, systems and tools each solution is permitted to use.
Security & Governance
Control is part of the architecture, not an afterthought.
eSynapse and Aigent are designed around scoped access, business controls and accountable execution so organizations can introduce AI without surrendering how work is governed.
Governed enterprise AI
Security and governance are applied through access controls, intelligence controls, validation, human review, Outcome Specifications and an Execution Trace.
Control by design
Govern the data, intelligence, actions and outcomes.
Enterprise AI should operate inside the access boundaries, business rules and approval controls established for the use case.
Intelligence Control Layer
Choose approved model strategies based on workload, privacy, quality, latency and customer policy.
Validation & Human Review
Use deterministic checks, evidence requirements and Human Review for sensitive or high-impact execution steps.
Execution Trace
Preserve relevant inputs, tool interactions, validations, exceptions, approvals and final outputs where required.
Aigent governance
The Business Execution Blueprint defines what AI is allowed to do.
Aigent places AI reasoning inside an enterprise-defined Business Execution Blueprint so methodology, systems, rules, controls and required outcomes remain explicit.
Business Execution Blueprint
Define the approved process, methodology, rules, systems, data access and execution structure before the AI Agent runs.
Outcome Specification
Define the required structure, evidence, calculations, formatting and acceptance criteria for the final deliverable.
Quality Rule Engine
Apply deterministic checks and business rules independently of the model-generated reasoning where critical outcomes require verification.
Deployment considerations
Governance follows the deployment context.
Model choice, data access, integrations, approval points and deployment architecture can be aligned to workload sensitivity, enterprise policy and customer requirements.
Model strategy
Use public, private, open-source or hybrid model strategies according to workload and customer policy.
Customer-controlled access
Keep permissions and data access scoped to the systems, records and functions needed by the solution.
Human approval points
Require people to review or authorize sensitive actions, exceptions and high-impact outcomes.
Security & Governance
Discuss your requirementsNeed to align enterprise AI with your security and control requirements?
We can map data access, intelligence controls, validation, Human Review and deployment considerations to the way your organization operates.