Lead volume → governed follow-up.
AMQUR is the operating layer: embedded assistant on your site, structured lead capture, inventory-aware conversations, and finance handoffs — traced end-to-end for the dealership.
Read docsThe problem
Teams don't lose because they lack software.
They lose because execution leaks.
Missed follow-ups. Incomplete documentation. Approvals that stall in inboxes. Work is scattered across systems, spreadsheets, and phone calls — and teams rely on human memory to hold it together.
Regulation and speed demand execution infrastructure
Healthcare: CMS is mandating API-first prior authorization. Auto: sub-5-minute lead response is the proven conversion lever. Manual processes can't keep up.
AI alone doesn't solve operational work
Chatbots draft text. But operational work requires state, branching, retries, approvals, and audit trails — exactly what a stateless prompt cannot provide.
Run the workflow as a graph
AMQUR compiles work into executable graphs where state, decisions, tools, and approvals are first-class. Every step is versioned, traced, and governable.
How it works
Graph. Compile. Run. Govern.
Four primitives that turn operational chaos into auditable execution.
State + Nodes + Edges
Define work as a directed graph. Nodes are actions (qualify lead, verify coverage). Edges encode conditions and branching logic.
nodes:
- qualify_lead
- check_inventory
edges:
- from: qualify
to: inventory
when: score > 70Version + Policy + Schema
The Work Graph Compiler outputs an immutable version hash, a policy manifest, and a replay plan. Every run is deterministic from this point.
compiled: hash: 7f3a2b1c policy: [mgr_approval] tools: [crm, dms] schema: v2.1.0
Stream + Execute + Trace
Execute the graph. Each state transition streams to the UI in real time via SSE. Tool calls, outputs, and timings are captured immutably.
09:14:01 TOOL crm.createLead 09:14:03 STATE qualify → complete 09:14:05 TOOL dms.search 09:14:08 GATE mgr_review [blocked]
Gates + Audit + Replay
Policy gates require human approval for sensitive actions. Every run produces an immutable audit trail. Replay any run to diff outcomes.
gate: manager_review required: deals > $45k status: awaiting_approval approver: F&I Manager evidence: [deal_summary]
Trust & Governance
Enterprise-grade by design, not by badge.
Tenant Boundaries
Every workspace is isolated at the infrastructure level. Tenant context gates access to all resources — data, runs, and tool credentials never cross boundaries.
Healthcare Readiness
HIPAA Security Rule safeguards — administrative, physical, and technical — are implementable and auditable per-run. Access controls, audit logs, and transmission security are first-class.
Governed AI Execution
Aligned to NIST AI RMF (govern, map, measure, manage) and AI TRiSM principles. Every agent action is attributable, every decision is traceable, every policy gate is enforceable.
Industries
Built for high-stakes operations.
Lead → Close in minutes, not days
Capture leads instantly. Qualify intent with DMS data. Schedule test drives. Pre-qualify financing. Route to F&I review. Close with a generated deal packet — every step traced and governed.
Prior auth in hours, not weeks
Intake patients. Verify eligibility. Assemble documentation. Submit electronically. Track payer response. Coordinate care — all governed by HIPAA-aligned policy gates.
This is an execution system
Four pillars. Zero abstraction debt.
Runs
Events, Replay, Diff
Every execution is a first-class object. Stream events in real time. Replay any historical run. Diff two runs to find where branches diverged.
Approvals
Human-in-the-Loop
Policy gates pause execution and present context — the action, the rationale, and the evidence. Humans approve, reject, or escalate. The audit trail records everything.
Connectors
Tool Abstraction Layer
Tools are typed contracts. The graph binds to contracts, not vendors. Swap CDK for Reynolds & Reynolds. Swap Epic for Cerner. The graph logic stays the same.
Observability
Trace + Metrics
Every run emits structured telemetry. Trace individual actions. Monitor latency, throughput, and error rates. Detect drift before it becomes a production incident.
Ready to see it run?
Start with a pilot. Connect your systems. Watch the graph execute your most painful workflow — governed, traced, and ready for production.