Vonage Brings Real-Time Voice Transcription Into ServiceNow

Real-time voice context for ServiceNow workflows

Vonage has integrated live voice capabilities directly into ServiceNow, enabling real-time transcription and context capture that can trigger workflows while calls are still in progress. Jonathan Kershaw, Director of Product Management at Vonage, outlined how the integration addresses a persistent operational challenge: contact center agents juggling up to nine different systems during customer interactions.

The native voice integration eliminates the need for agents to manually switch between platforms, creating case records and capturing context automatically as conversations unfold. This real-time approach contrasts with traditional post-call processing, where critical customer context often gets lost or inconsistently documented.

Why it matters

Contact centers have deployed AI tools for years, but many implementations underperform because they lack access to the richest source of customer intent: the live conversation itself. By embedding voice directly in ServiceNow, organizations can activate AI and automation at the moment context is most valuable, not after the customer has hung up.

Practical applications across use cases

Kershaw described several scenarios where real-time voice integration delivers measurable impact. During IT outages, the system can identify issue patterns and route calls based on detected intent rather than menu selections. For payment and fraud-related calls, sensitive information can be captured securely without agents toggling to separate systems.

The integration also enables mid-call escalations with AI-generated summaries that brief the next agent before they join, creating warm handoffs without requiring customers to repeat information. After calls conclude, automated disposition codes reduce wrap-up time by eliminating manual data entry.

Starting with measurable operational gains

Kershaw emphasized a pragmatic approach to implementation: treat AI like any business tool and start with credible baselines. Organizations should identify which processes to automate first based on clear ROI potential rather than attempting comprehensive transformation.

Early-moving KPIs typically include average handle time, after-call work duration, data quality metrics, and reductions in follow-up contacts. These operational improvements provide concrete evidence of value before expanding to more complex use cases.

The core principle is straightforward: capture customer context when it matters most, use it to drive immediate action, and scale based on proven results. By eliminating system-switching friction and improving data consistency, the integration addresses foundational challenges that have limited AI effectiveness in contact centers.

These details were first reported by CX Today in a conversation with Vonage's Jonathan Kershaw.