AI Specialists in Action.
A look at the platform operating in a live enterprise setting.
Ten dedicated AI agents examine live calls and implement enhancements on the spot. A banking deployment recently achieved 2.5x scaling in under six weeks.
SAN FRANCISCO, CA, UNITED STATES, September 7, 2026 /EINPresswire.com/ — Voicing AI, an enterprise agentic voice AI platform tailored for regulated contact centers, has unveiled a new voice diagnostics feature within its system. This functionality enables live voice agents to assess their own call performance and make adjustments without needing engineering support, the company stated. In a recent production implementation for a Latin American telecom provider, call volume grew 2.5x within less than six weeks, while the deployment managed roughly 50,000 calls during its first two weeks of operation.
The feature targets the phase after a voice agent goes live and handles calls at full production scale. It reads speech-to-text, text-to-speech, and language-model traces from individual conversations. When a user asks a plain-language question about a specific call, it identifies what performed well, what could be modified, and where tuning can occur, and can then suggest or directly 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 framework
The diagnostics capability leverages ten specialist AI agents inside the platform, each assigned to a specific 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 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 capabilities
The platform offers two routes to campaign data. Teams with SQL expertise can create custom charts across call, message, and post-call datasets, arranged into dashboards that are saved per user. A plain-language Analytics Assistant responds to queries without needing a written query; when asked to compare call categories by volume, it returns a table and chart that refresh as a campaign progresses.
Post-call examination
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 using rules rather than model output. Results can be sent to a client's own systems via post-call actions and webhooks. The platform also supports configurable PII redaction and data retention windows. Voicing AI noted that these controls are designed for clients in banking, insurance, and healthcare, where reported outcomes must have an audit trail.
Integration options
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 roughly twenty built-in tools. Custom code runs in a sandboxed environment with a fixed outbound IP address, enabling it to reach customer APIs behind an IP allowlist.
When transferring a call to a human agent, the platform sends context through custom SIP headers, including a language-model-generated summary of the caller's request.
Deployment specifics
The Latin American telecom deployment referenced 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 managed roughly 50,000 calls during its first two weeks of operation.
"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 stated that it is currently monitoring the time between a flagged issue and a measurable improvement across live deployments, and plans to share results at a later date.
The voice diagnostics feature 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 purchasing 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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