Business impact as a first-class input
Every handoff gets an individual score — intent priority, sentiment, customer value, custom attributes — not a static priority tier. Routing acts on what matters to your business.
Routing engine
Your platform already handles voice, messaging, desktop, and reporting. ExpertLoop™ upgrades the one decision that determines everything downstream: who should handle each handoff, when, and why.
The model
ExpertLoop™ becomes the decisioning and intelligent routing brain that sits above your existing platform. Traditional routing asks “Who is available?” ExpertLoop™ asks “What is the best business decision?” for each AI-Human handoff.
Via External Routing for Omni-Channel — built on the skills foundation you already run.
Direct API integration for platforms like Genesys, Five9, or NICE.
Intent and sentiment from your AI agents — and any self-service layer — feed every decision.
Beyond skills-based routing
Instead of assigning the next available agent with the right skill tag, ExpertLoop™ continuously decides who should engage. That requires more than a skill match. It evaluates the combination of skills, proficiency, authority, availability, and live operational context to determine the best expert. It then continuously answers what static routing cannot: which case deserves attention first, how decisions adapt as conditions change while customers wait, and how scarce expertise is protected under load.
Every handoff gets an individual score — intent priority, sentiment, customer value, custom attributes — not a static priority tier. Routing acts on what matters to your business.
Your SLA should drive routing, not just measure it. ExpertLoop™ tracks progress toward every target and adjusts priority and pairing to attain it — automatically.
Handoffs are evolving objects. Sentiment shifts, new context, and growing wait time update the decision — no more pairing on a stale snapshot.
When no expert matches every requested skill, droppable skills are progressively relaxed to widen the pool — balancing wait time and match quality instead of waiting for a perfect match that never comes.
During congestion, capacity is preserved for high-value work while lower-value handoffs are deferred to callback or self-service — and resumed automatically.
Rank, business impact, SLA trajectory, and pairing effectiveness are visible across the operation — the feedback loop traditional routing never had.
Why now
As AI agents absorb routine work, the handoffs that reach your people are the complex, high-stakes ones. Getting each of them to the right expert — first time, in time — is what a routing engine must now be built for.
ExpertLoop™ was designed for exactly this operating point: precision pairing when expertise is the constraining resource, and infrastructure for AI agents that need governed access to humans.
See the AI agent side →Install from the AppExchange and run it with configuration, not code. Or see how ExpertLoop™ runs on your existing technology stack.