Orchestrate
Centralized lifecycle control with authoritative retry logic, lease-based ownership, and deterministic state transitions.
Enterprise Control Plane for AI Automation
Bot Velocity makes AI-powered workflows observable, governable, and reliable at scale — enabling teams to deploy AI automation with operational confidence.
Developer
CLI
Orchestrator
Evaluation
Runtime + Storage Plane
AI Automation Fails Without Lifecycle Authority
Distributed agents and fragmented retries create failure modes that only a centralized control plane can prevent. Without lifecycle authority, automation becomes brittle, costly, and difficult to audit.
- Distributed retries cause duplicate side effects and split-brain failures
- Silent model regressions erode production quality without detection
- Weak governance makes cost and operational risk unpredictable
Control Plane Architecture
Bot Velocity separates orchestration, execution, and instrumentation into distinct layers. The control plane owns lifecycle state and retry authority. Runners execute in isolated leases. The runtime SDK carries trace and cost context. Each layer is governed independently — preventing cascading failures across the stack.
Core Pillars
Evaluate
Automated regression detection, baseline comparison, LLM-judge scoring, and CI-gated quality thresholds.
Govern
Policy enforcement, execution auditability, and multi-tenant isolation built into the control path.
Why Bot Velocity
Deterministic Execution
Every workflow run has an explicit state machine. Transitions are auditable, retries are centrally governed, and ownership is never ambiguous.
Evaluation Intelligence
Quality gates are infrastructure, not manual review. Baseline comparisons and regression checks run before every promotion.
Governance by Design
Policies, audit trails, and tenant isolation are enforced in the control path — not bolted on as external tooling.
Multi-Tenant Isolation
Tenant and folder boundaries are enforced through the orchestration model with scoped credentials and RBAC.