Cignara

Cignara is an enterprise-grade AI agent platform designed to automate inbound support across voice and chat channels. The core workflow has agents receiving a contact, identifying intent, executing the relevant SOP or policy-driven resolution path — refund processing, appointment rescheduling, billing inquiry — and closing the interaction without escalating to a human unless the policy explicitly requires it. The platform also operates as a real-time copilot for human agents, surfacing relevant information and suggested responses during live calls rather than waiting for post-call review.

The differentiating capability the vendor positions most heavily is policy-driven autonomy at scale: the agents are not running from a decision tree you draw by hand but from structured representations of your actual operating procedures. This means that when a policy changes, you update the policy document — not the branching logic of a flowchart. For organizations with compliance requirements or strict data governance mandates, that separation between policy and execution is a meaningful operational control point.

Cignara targets large B2C enterprises with contact centers handling enough volume that per-interaction cost is a line item executives track. It fits well when your support interactions are high-frequency and policy-bounded — the kind of work where the correct answer exists and the problem is executing it consistently at speed. It breaks down when interactions require improvised judgment, cultural nuance, or relationship context that no SOP encodes. There is no self-hosted option and no public pricing — procurement goes through a sales process, which means teams cannot prototype or benchmark without a vendor engagement. Organizations that need to test before committing to a sales cycle will hit that wall immediately.