TCN launches AI-powered SmartAMD for outbound call screening
TCN said June 9 that it has launched SmartAMD, an AI-driven answering machine detection tool built into its Operator platform to improve live contacts and agent efficiency. The company also cited a deployment of more than 1.6 million calls that it says delivered higher utilization, better human connection rates and an 8.8x return on investment.
Why it matters: - TCN is targeting a major pain point for outbound contact centers: answering machine detection that misses live people or burns agent time on screening prompts. - The company says SmartAMD is designed to improve Right Party Contacts and agent utilization as handset and carrier screening tools become more common. - The launch matters most for large-volume teams that depend on efficient live-call connection rates.
What happened: - TCN announced SmartAMD, a new AI-powered Answering Machine Detection and call-sorting product. - SmartAMD is embedded in the TCN Operator platform. - The product is available immediately for Operator users. - TCN said the launch was designed to work against modern call-screening tools, including iOS Call Screening, Google Pixel Call Screen and carrier-native apps.
The details: - SmartAMD uses multiple machine-learning models running in parallel instead of a single classifier. - A foundational model makes a human-versus-machine decision in sub-second time. - Secondary models identify the specific mobile screening tool or voicemail greeting in use. - The system then routes the call instantly. - SmartAMD can recognize iOS, Android and third-party mobile screening systems. - The product can disconnect, route to an agent or play a brand-consistent message to the screening prompt. - SmartAMD detects live humans immediately to avoid the pause that can trigger hang-ups. - The product suppresses automated voicemails with higher precision than standard AMD tools. - SmartAMD classifies each connected call by outcome type and creates granular disposition data for campaign planning. - TCN said it owns the models and retrains them continuously to adapt to changing carrier filtering and voicemail behavior. - SmartAMD integrates with TCN dialers, list management and omnichannel workflows. - TCN said customers can move from standard AMD with minimal IT involvement. - The company also said the product requires no added headcount, no separate data pipelines and no vendor approvals. - TCN said customers can build an AI stack à la carte and scale across voice, texting and self-service channels. - The company is offering live demos and more information at the TCN website.
Between the lines: - TCN is positioning SmartAMD as a response to a broader shift in outbound calling, where AI filters and carrier screening tools are reducing the effectiveness of older AMD systems. - The dual-engine approach is meant to separate low-cost bulk filtering from higher-precision call handling. - That framing suggests TCN is competing on both accuracy and operational efficiency, not just detection speed. - Dave Bethers, senior VP of client success and product at TCN, said agent time is the company’s most expensive resource and that handset AI filters have made protection of that time harder. - Bethers said TCN built a dual-engine approach so standard AMD can handle bulk filtering while SmartAMD focuses on higher-probability conversations.
What’s next: - TCN is pushing SmartAMD as an immediate upgrade path for current Operator customers. - The company is using the launch to drive demos and broader adoption across outbound teams. - TCN said continued model retraining will be part of keeping performance aligned with carrier and voicemail changes. - In one enterprise deployment processing more than 1.6 million calls, TCN said SmartAMD produced measurable gains, which could serve as a reference point for future sales.
The bottom line: - TCN is betting that AI-native call detection can recover more live conversations while reducing wasted agent time, and it is backing that pitch with platform integration and reported enterprise results.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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