Expert AI Agents.
A look at the platform operating in an enterprise setting.
Ten specialized AI agents examine live conversations and implement enhancements directly. A banking rollout recently achieved 2.5x growth in less than six weeks.
SAN FRANCISCO, CA, UNITED STATES, September 7, 2026 /EINPresswire.com/ — Voicing AI, an enterprise agentic voice AI platform serving regulated contact centers, announced today that it has added a voice diagnostics feature to its platform. The tool enables live voice agents to assess their own call performance and make adjustments without needing engineering support, according to the company. In a recent production deployment for a Latin American telecom operator, call volume grew 2.5x in under six weeks, with the system handling around 50,000 calls during its first two weeks of operation.
The feature targets the phase after a voice agent is deployed and already handling live calls at production scale. It reads speech-to-text, text-to-speech, and language-model traces from specific calls. In response to a plain-language inquiry about a given call, it indicates what worked as expected, what could be refined, and where performance can be optimized, and it can then suggest or implement the change.
“Every contact center is familiar with the old process: someone reviews a call, files a note, and waits for an engineer to free up time to look at it,” said Abhi Kumar, co-founder of Voicing AI. “We created a platform where you can ask about a single call in plain English, and it doesn’t just tell you what could be improved — it goes ahead and makes it better.”
Specialist agent architecture
The diagnostics tool is powered by ten specialized AI agents within the platform, each focused on a different part of the agent lifecycle, such as planning, prompting, tool-calling, conversation flow, knowledge retrieval, analytics, and reporting.
“A specialist that only refines prompts can be held to a much stricter standard than a single generalist trying to handle everything,” Kumar said. “That’s what makes its recommendations usable without a human needing to rewrite them.”
Analytics and reporting
The platform offers two ways to access campaign data. Teams with SQL expertise can design custom charts using call, message, and post-call datasets, arranged into dashboards that are saved per user. A plain-language Analytics Assistant responds to questions without requiring a query to be written; if asked to compare call categories by volume, it returns a table and chart that update as a campaign runs.
Post-call analysis
Calls undergo configurable post-call analysis that includes customer-defined extraction fields, intent classification, and a deterministic rule engine capable of setting, computing, or backfilling 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 stated that these controls are designed for customers in banking, insurance, and healthcare, where reported outcomes must have an audit trail.
Integrations
The platform supports six types of tool handlers — REST webhooks, custom Python functions, call transfer, DTMF capture, knowledge retrieval, and native data-store integration — along with roughly twenty built-in tools. Custom code runs in a sandboxed environment with a fixed outbound IP address, allowing it to access customer APIs behind an IP allowlist.
When a call is transferred 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 slate, and neither do most of the enterprises we sell to,” Kumar said. “Almost nobody in banking or telecom is launching a voice agent from scratch — 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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