Voicing AI Announces Voice Diagnostics Capability for Live Voice Agents

Ten specialist AI agents analyze live calls and apply improvements directly. A recent banking deployment scaled 2.5x in under six weeks.

SAN FRANCISCO, CA, UNITED STATES, September 7, 2026 /EINPresswire.com/ -- Voicing AI, an enterprise agentic voice AI platform for regulated contact centers, today announced a new voice diagnostics capability within its platform. The capability allows live voice agents to analyze their own call performance and apply improvements without engineering intervention, according to the company. In a recent production deployment for a Latin American telecom operator, call volume scaled 2.5x in under six weeks, with the deployment handling approximately 50,000 calls within its first two weeks live.

The capability is aimed at the period after a voice agent is deployed, when it is handling live calls at production volume. It reads speech-to-text, text-to-speech, and language-model traces from individual calls. In response to a plain-language question about a specific call, it reports what performed as expected, what could be adjusted, and where performance can be tuned, and can then propose or apply the change.

"Every contact center knows the old workflow: someone reviews a call, files a note, and waits for an engineer to make time to look at it," said Abhi Kumar, co-founder of Voicing AI. "We built a platform where you ask a question about one call, in plain language, and it doesn't just tell you what could be better — it goes and improves it."

Specialist agent architecture

The diagnostics capability draws on ten specialist AI agents within the platform, each scoped to one part of the agent lifecycle, including planning, prompting, tool-calling, conversation flow, knowledge retrieval, analytics, and reporting.

"A specialist that only refines prompts can be held to a much tighter standard than one generalist trying to do everything," Kumar said. "That's what makes its suggestions usable without a human rewriting them."

Analytics and reporting

The platform provides two paths to campaign data. Teams with SQL expertise can author custom charts across call, message, and post-call datasets, arranged into dashboards that persist per user. A plain-language Analytics Assistant responds to questions without requiring a query to be written; asked to compare call categories by volume, it returns a table and chart that update as a campaign runs.

Post-call analysis

Calls are processed through configurable post-call analysis that includes customer-defined extraction fields, intent classification, and a deterministic rule engine able to set, compute, or backfill specified data fields by rule rather than by model output. Results can be sent to a customer's own systems through post-call actions and webhooks. The platform also supports configurable PII redaction and data retention windows. Voicing AI said these controls are intended for customers in banking, insurance, and healthcare, where reported outcomes require an audit trail.

Integrations

The platform supports six tool-handler types — REST webhooks, custom Python functions, call transfer, DTMF capture, knowledge retrieval, and native data-store integration — along with approximately twenty built-in tools. Custom code runs in a sandboxed environment with a fixed outbound IP address, which allows it to reach customer APIs behind an IP allowlist.

On call transfer to a human agent, the platform passes context through custom SIP headers, including a language-model-generated summary of the caller's request.

Deployment details

The Latin American telecom deployment cited by the company covers an outbound collections program migrated onto Voicing AI from an external codebase. It includes an outbound campaign engine, a customer-data pipeline, segment-based routing across five conversational entry points, a knowledge base, and scheduled data exports. Call volume scaled 2.5x in under six weeks, and the deployment handled approximately 50,000 calls in its first two weeks live.

"We didn't get to start from a blank page, and neither do most of the enterprises we sell to," Kumar said. "Almost nobody in banking or telecom is launching a voice agent from nothing — they're improving on something that already exists. What they care about is how quickly it gets better once it's live."

Voicing AI said it is currently tracking the time between a flagged issue and a measurable improvement across live deployments, and plans to publish results at a later date.

The voice diagnostics capability is available to Voicing AI customers in banking, insurance, healthcare, aviation, and telecom.

About Voicing AI

Voicing AI is an enterprise-grade voice AI runtime infrastructure for regulated contact centers, including banking and financial services, insurance, healthcare, aviation, and telecom. The company develops its speech-to-text, text-to-speech, and language models in-house rather than sourcing them from third parties, an approach it says gives enterprises more direct control over latency, cost per call, and accuracy. The platform includes Knowledge Mesh, the company's agentic knowledge layer, which provides voice agents with contextual access to enterprise source material during a conversation. It supports more than 50 languages, real-time translation that preserves a speaker's voice and identity, and a set of specialist AI agents for building, testing, diagnosing, and updating voice agents in production. Voicing AI works with global systems integrators and BPO partners alongside direct enterprise engagements. More information is available at www.voicing.ai

Anurag
VOICING.AI
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