One agent answers a question. Orchestrated agents run a business process. Tantor's agent orchestration coordinates multi-agent workflows where specialists collaborate, share context, and escalate to humans — governed throughout.
Declare the workflow — which agents, in what sequence, with what handoff rules
Event-driven or scheduled — a document arrival, a credit application, a patient admission
Orchestrator assigns tasks to specialised agents based on capability and context
Agents share context, intermediate results, and confidence scores across steps
Configurable human-in-the-loop gates — escalate when confidence drops or risk thresholds are crossed
Every step, every handoff, every human decision — immutably logged
Without a governed platform, these problems compound with every new data source and every new AI deployment.
Most enterprises deploy AI agents as point solutions. Coordination is manual — a human copies output from one agent and feeds it to another. The speed advantage evaporates.
When multiple agents contribute to a decision, who is accountable? Without a governed orchestration layer, there is no traceable chain from input to outcome.
In regulated industries, certain decisions require human review. In most architectures, human involvement is bolted on rather than designed in.
Coordinate multiple independent agents into end-to-end business processes. CredXplain → TextIQ → Compliance Agent → Human Approval — as a single governed workflow.
Coordinate the sub-agents inside a composite agent. A single agent like CredXplain is itself composed of specialised sub-agents, each governed at every handoff.
Policy-driven escalation gates — escalate when confidence drops below a threshold, when decision value exceeds a limit, or when a protected category is involved.
Every agent action, every handoff, every context transfer, and every human decision is immutably logged — full reconstruction from trigger to outcome.
Every agent action and handoff logged — trigger, input, output, timestamp, confidence.
Configurable escalation gates ensure humans review high-risk or low-confidence decisions.
Intermediate conclusions, confidence scores, and governance metadata preserved across every handoff.
Fairness evaluated across the full multi-agent workflow — not just at individual model outputs.
See how Tantor orchestrates multi-agent workflows — from loan origination to clinical triage — with full governance, human-in-the-loop controls, and complete audit trails.