AssistRing, a customer service outsourcing firm founded in 2024, has launched ARIS, a proprietary AI suite that includes Sage, a quality assurance tool that scores 100% of customer calls against each client's own scorecard. The industry standard for manual call review sits at 1 to 3 percent of conversations, meaning the vast majority of customer interactions typically go unevaluated.
The suite is built into AssistRing's managed BPO service rather than sold as standalone software. It includes three other products: Edith for real-time call translation across more than 60 languages, Agent Copilot for live in-conversation guidance, and VOX for autonomous handling of high-volume repetitive contacts.
"Every BPO in the world will tell you they care about quality, then show you a report built on two percent of the calls. We built Sage because that never sat right with me. If you are only listening to two percent, you are not measuring quality, you are guessing at it and hoping the sample was representative. We score every conversation, we show clients the full picture including the parts that make us look bad, and we fix what the data actually says is broken," said Arsalan Kamran, CEO and Co-Founder of AssistRing.
Full-coverage quality measurement
Sage assigns a score to every customer conversation against the client's own standards. For support leaders, the result is account-level visibility into policy gaps, coaching needs, escalation patterns, and service risks - patterns that are invisible when only a small sample of calls is reviewed.
The company's approach inverts the typical industry focus. Most providers race to automate conversations while leaving quality measurement manual. AssistRing automated measurement first, then gave agents real-time tools and kept human judgment for the interactions that matter most: contract cancellations, retention risk, complex troubleshooting, and emotional conversations.
"The industry got the AI question backwards. Everyone is racing to automate the conversation and leaving the measurement manual. We did the opposite. Automate the measurement, give agents better tools in the moment, and protect the human on the calls that decide whether a customer stays or leaves," said Kamran.
How the rest of the suite works
Agent Copilot surfaces the relevant standard operating procedure, policy, or answer during a live interaction. The goal is to shorten new-agent ramp time and cut escalations caused by knowledge gaps. VOX handles repetitive contacts autonomously and hands off to a human when a conversation requires judgment or exception handling.
Edith solves a second pain point: language barriers. Traditional multilingual support requires separate recruiting, hiring, and management for each language team. Real-time translation lets one trained agent handle conversations across markets, turning market entry from a recruiting problem into a configuration issue under one provider.
"Language should not be the reason a good company cannot enter a market. Before Edith, serving customers in a new country meant recruiting a whole new team in that language. Now it means turning it on," said Kamran.
For AI for customer support leaders evaluating providers, the shift matters because the old model was built around manual sampling. AssistRing's quality model was built around AI measurement from the start.
Delivery model and track record
AssistRing maintains corporate entities in the United States and Germany for local contracting, including German-language leadership for DACH accounts. Delivery runs from its operations center operations center in Karachi, Pakistan, where more than 100 agents provide 24/7 coverage for voice, email, chat, social, and back office work.
Verified client feedback documents a call drop rate reduced from 40% to under 3%, tens of thousands of inbound calls handled monthly, and 24/7 coverage maintained year-round. The company holds a verified 5.0 rating on Clutch.
Why this matters for customer support professionals
The shift from sampling to full-coverage quality assurance changes what is expected of both agents and supervisors. When every conversation is scored, recurring issues become visible in days rather than months, and supervisors are asked to act on data, not impressions. The practical question for any support leader evaluating a BPO provider is simple: how much of the customer experience can you actually see, evaluate, and act on. The old answer was a sliver; the new benchmark is all if it, including the mistakes revealed along the way.
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