Solve the core problems of enterprise data use
Disconnected tools
Data, knowledge and business tools are built separately and are difficult to compose.
Repetitive workflows
Employees still repeat queries and actions across multiple systems.
Uncontrolled execution
Agent access and actions need enforceable permissions, audit and review.
Core Capabilities
Composable capabilities adapt to different organizations, industries and deployment environments.
Agent orchestration
Configure roles, instructions, models, knowledge and tools as reusable agent workflows.
- Roles
- Prompts
Tool integration
Package enterprise APIs, database queries and business actions as controlled tools.
- Tools
- APIs
Knowledge grounding
Connect governed knowledge bases to provide traceable context for planning and answers.
- RAG
- Grounding
Controlled execution
Limit data and tool scope while recording task traces, results and exceptions.
- Permissions
- Audit
Platform Architecture
- ResourcesData, knowledge and business systems
- ToolsAPIs, plugins and agent tools
- IntelligencePlanning, memory and task orchestration
- GovernancePermissions, audit and observability
- ApplicationsAssistants, workflows and digital workers
Integration Methods
- Connect data through supported connectors, files, object storage or controlled APIs after a technical assessment.
- Integrate with enterprise identity, access and logging systems to preserve existing security boundaries.
Security & Deployment
- Evaluate private, dedicated or controlled cloud deployment according to data sensitivity and network boundaries.
- Confirm access filtering, audit logs, secrets and storage policies before the proof of concept.
Verifiable Evidence & Limits
These are checkable acceptance signals and explicit boundaries—not unverified performance promises.
Acceptance Evidence
- Validate the implementation with traceable sources, permission tests and documented acceptance criteria.
- Measure coverage, update freshness and task completion against an agreed test set.
Capability Limits
- Results depend on source quality, metadata completeness, permissions and update processes.
- High-impact decisions and actions require explicit controls and human review.
Frequently Asked Questions
- How should an organization start with AI Agent Platform?
- Start with one high-value workflow, a defined user group, known data sources and measurable acceptance criteria, then expand after testing quality and security.