Routewright

Support organizations combining AI and humans need explicit rules for when automation answers, a human takes over or a human reviews. Routewright proposes versioned policy authoring, offline simulation and outcome review outside any one support vendor. The supplied research confirms an enterprise vendor with routing and synthetic-customer products, while reporting no portable standalone equivalent. Competitor prices are observed market references, not fixed product pricing. All three referenced integration capabilities remain unverified, so portability is a premise to prove.

Synthetic customers test assumptions, not real language, vulnerability, accessibility or urgency. Historical routing and satisfaction data encode prior policy, channel access and selection bias. CSAT and resolution are delayed, sparse and confounded; they do not prove that routing caused an outcome. Policies can create discriminatory service levels or trap customers in automation. Continuous improvement must propose changes for review, never rewrite production autonomously.

Customer request, identity and entitlement, channel, language, urgency candidate, policy version, decision trace, route candidate, AI response, human response, escalation, resolution assertion, customer feedback, outcome metric, analysis, policy-change proposal, owner approval, deployment, rollback and business outcome remain separate. Routewright should make routing inspectable without becoming the unreviewed router.

A customer-support operations or AI-governance leader managing hybrid automation and human service across one or more support vendors.