DSG ONE production runtime + Spacetime architecture
Governed production AI agent runtime combining plan-based authorization, controlled tool execution, Spacetime workflow/state coordination, and evidence-backed verification across API, MCP and browser capabilities.
Business Challenge
Autonomous AI agents can interact with APIs, browsers, cloud infrastructure and external tools, but production use requires controls beyond model output. Actions need defined scope, permissions, approvals, persistent execution state and verifiable evidence. DSG ONE addresses the problem of allowing agents to perform real work while preventing unsupported or out-of-plan actions and distinguishing an attempted action from a verified resulting state.
Solution Delivered
DSG ONE was implemented as a governed production AI agent runtime. Requests are converted into scoped plans before execution. Governance evaluates the plan, capabilities, permissions and approval state before controlled execution is allowed. The architecture separates governance authority from workflow and execution state. DSG Spacetime coordinates jobs, handoffs, leases, checkpoints and resumable workflows, while governance determines whether requested actions are allowed, blocked or require approval. The runtime integrates agent execution with API/MCP capabilities and governed browser operations. Execution results are captured as evidence and verified against resulting state rather than relying solely on agent-generated claims. Production health/readiness checks, automated tests and fail-closed controls provide additional verification.
Outcomes Achieved
Delivered a production-capable governed agent runtime with separation between governance authority, workflow/state coordination and external execution. The system supports plan-based execution, persistent workflow state, approval-aware handling of higher-risk actions, controlled API/MCP/browser capabilities, evidence capture and resulting-state verification. Automated validation and production health checks provide reproducible technical evidence for runtime operation.
Measurable Business Outcome
Established an evidence-backed production workflow where agent actions are evaluated against approved plans and capabilities before controlled execution. Runtime state is persisted across workflows, higher-risk actions can require approval, and execution results can be verified against resulting state. Unsupported or out-of-scope actions are designed to fail closed instead of bypassing governance controls.