Antheus, a UK-based VoIP provider, helped their largest client solve an impossible task-thousands of daily operational and fundraising calls requiring manual QA.
Voxjar's AI allowed them to monitor 100% of calls, reducing QA overhead by 60% while reallocating those staff members back to revenue-generating roles.
The Impossible Review Volume
As a VoIP provider aligning their revenue directly with their clients' success, Antheus had a client making thousands of charity fundraising calls daily. Spot-checking such an immense volume using human QA testers was impossible.
The Bottlenecks
- Client faced an impossible volume of calls requiring mandatory QA review for regulatory purposes.
- Dialer platform competitors were beginning to bundle AI, threatening Antheus.
- Manual QA was a pure cost center, taking up 4-6 full-time staff and eating into their clients' profitability.
"Our client faced an impossible task, thousands of charity fundraising calls requiring daily QA review that humans simply couldn't handle. Voxjar's AI solution not only automated this process but delivered it before competitors could."
The Integration First-Mover Advantage
To prevent customers from churning to competitors, Antheus urgently integrated Voxjar to automate compliance checking directly into their telecom services. Voxjar's model perfectly aligned with Antheus's business ethos.
Automated Compliance QA
Scanning thousands of calls automatically for mandatory sales script elements.
API & Webhook Delivery
Direct ingestion of data into custom reporting dashboards.
Revenue Reallocation
Taking human reviewers off QA and moving them to dialer seats to make money.
"One of the main things that might disrupt our industry is AI... We were concerned many customers would suddenly switch to providers offering AI services, allowing them to reduce agent headcount. Voxjar has given us that early advantage."
From Cost Center to Revenue Generation
By automating QA, the client was able to dramatically downsize their QA team from roughly six people to two, transferring the remainder back to revenue-generating phone roles.
Key Breakthroughs
- QA team headcount reduced by 60% while maintaining 100% oversight.
- Differentiated Antheus from commodity VoIP providers.
- Opened doors to strategic product expansion utilizing AI assessments.
Defusing competitive threats with early AI adoption
Antheus faced a critical market threat when a competing service provider claimed to offer AI-powered QA capabilities to their shared charity client. Early solutions proved to be prohibitively expensive or cumbersome, with one requiring manual FTP uploads. By moving quickly to embed Voxjar, Antheus successfully defended its key account while exposing the competitor's AI claims as vaporware.
"The reason they asked us was that they compete with another company that calls for the same charity. This competitor claimed they had QA AI built in, they'd been bragging about it to the charity, but when asked to demonstrate it, they admitted it wasn't actually working yet."
By delivering real, working AI capabilities ahead of competitors that made identical promises, Antheus validated their reputation as an innovative technical partner rather than just another commodity VoIP provider.
From a strict cost center to actual revenue generation
Prior to Voxjar, Antheus's client relied on a dedicated team of four to six QA professionals to manually review calls for compliance. Due to the high volume, humans could only spot-check a fraction of the thousands of daily calls. Because every sales call required verification for valid customer consent and proper regulatory disclosures, the blind spots created immense risk.
"They've cut that down to just two people now. They've taken a lot of the load off of the QA guys and they've put them back into making calls, basically."
By automating the QA evaluation process, the client successfully reduced their dedicated QA staff to just two people, allowing them to redirect those extra staff members back to making outbound dials-literally shifting resources from a pure cost center into revenue-generating roles.
Adapting established QA logic for AI precision
The clients QA forms required minor modifications to work effectively with an AI comprehension model. The client was able to copy many of their existing QA questions verbatim. The remaining questions showed that sometimes AI processes information differently than human agents do.
Antheus worked with their client to refine these inputs-splitting double questions into individual queries, improving wording, and providing explicit examples. Today, the platform evaluates all key markers such as valid sales criteria and proper age verification with robust accuracy.
Affordable innovation through flexible pricing structures
The financial structure of Voxjar perfectly matched Antheus's business model. As an agile telecom provider that bills clients on a prepay basis with no long-term contracts, Antheus required an AI platform that offered proportional, flexible billing rather than rigid, prohibitive enterprise commitments.
"Our whole sort of like ethos really and company way of working is that we try and position ourselves so that we make money when our customers make money... But with that kind of model, it means the credit idea kind of fits with what we've kind of done where it's a prepay account."
Voxjar’s scalable, credit-based system aligned immediately with this ethos. Since Antheus's own philosophy revolves around remaining profitable only when their clients are online and successful, they were able to offer the functionality without subjecting clients to intimidating onboarding fees.