Workflows that think before they act.
RELAY is a stateful agentic orchestration platform built for multi-step business operations that require reasoning, external tool execution, and human-in-the-loop sign-off. Using graph-based state machines, RELAY checkpoints every step, recovers gracefully from API failures, and pauses cleanly when human approval is required.
An orange mechanical switchboard with animated levers and connected cables.
WHY LEGACY WORKFLOWS BREAK DOWN.
Fragile zap-style linear automations break when inputs are unstructured, while unconstrained autonomous agents are too unpredictable for high-stakes business workflows.
Traditional rules engines cannot interpret unstructured emails, attachments, or ambiguous requests.
Single-shot agent loops lose state on API timeouts and lack clear audit trails of why a decision was made.
High-impact actions (provisioning, payouts, external notifications) require human approval checkpoints before execution.
HOW RELAY SOLVES IT.
RELAY models workflows as explicit LangGraph state machines where LLM reasoning nodes operate inside bounded transitions, backed by persistent checkpointing, MCP tools, and approval gates.
Graph-defined control flow combining deterministic steps with specialized AI reasoning nodes.
Persistent state checkpoints allowing workflows to pause for hours or days awaiting human approval and resume cleanly.
Full execution telemetry with step-by-step inputs, tool payloads, retries, and audit logs.
BUILT FOR PRODUCTION REALITY.
6 CORE MODULES // RELAY
Multi-Step Agent Workflows
Coordinates specialized planner, researcher, and executor nodes across complex multi-stage processes.
Dynamic Tool Calling
Selects and invokes external APIs and internal services with strict input/output schema validation.
MCP Integrations
Connects to standardized Model Context Protocol tool servers across internal and third-party systems.
Stateful Execution
Persists graph state at every node transition so long-running workflows survive restarts and pauses.
Human-in-the-Loop Approvals
Suspends execution before sensitive side effects, presenting a clear diff/action card for human sign-off.
Retry, Failure Recovery & Execution Logs
Handles transient API errors with exponential backoff, dead-letter inspection, and replayable step logs.
FROM INPUT TRIGGER TO VERIFIED OUTPUT.
Ingest Event & Plan
Parses the incoming business event and initializes the typed workflow state.
Gather Context via Tools
Queries connected databases and external APIs to enrich the decision context.
Human Approval Gate
Pauses execution for sensitive actions until an operator approves or adjusts parameters.
Execute & Log
Commits the approved action across external APIs and writes the immutable execution trace.
DETERMINISTIC GUARDRAILS + APPLIED INTELLIGENCE.
We bound agency inside explicit state machines: the LLM decides within a step, while the graph governs what transitions are legal.
Graph-Constrained Agency
Instead of an open-ended loop, workflows are directed graphs with explicit guard conditions and terminal states.
First-Class Interrupts
Human approval is built into the state machine checkpoint layer, not bolted on as a fragile webhook callback.
Idempotent Side Effects
External mutations carry deterministic idempotency tokens so node retries never duplicate downstream records.
SYSTEM ARCHITECTURE & DATA FLOW.
Graph-based workflow runtime with persistent state checkpointing, MCP tool adapters, and an interactive human approval & trace console.
Initiates typed workflow runs from business events, inbound webhooks, or scheduled triggers.