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SuperDial’s $15m Bet: Will Voice AI Finally Cut US Healthcare’s Phone Bill?
SuperDial secures $15m to automate US healthcare calls with AI, aiming to cut costs, boost productivity and streamline billing for providers and insurers
SuperDial founders Sam Schwager and Harrison Caruthers
SuperDial just raised $15m to tackle one of healthcare’s most expensive hidden problems: the endless administrative phone calls that drain billions from US provider budgets each year. Despite decades of tech promises, healthcare billing teams still spend hours on hold with insurers over basic claims work. Now investors are backing the hope that AI agents can finally deliver real savings where human staff have struggled.
The funding round, led by SignalFire’s new $1bn AI fund , puts SuperDial at the centre of a critical test. Can voice automation genuinely cut costs for provider organisations and billing companies, or will this become another expensive experiment that fails to move the needle on healthcare’s administrative burden?
The Administrative Phone Call Problem
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US healthcare loses an estimated $150bn annually to administrative inefficiencies , with much of that waste coming from the tedious phone work required to manage insurance claims. The nation’s revenue cycle management market remains heavily dependent on manual calls for basic tasks like benefits verification, prior authorisation and claims follow-up.
Healthcare staff spend significantly more time on administrative tasks compared to their international counterparts, with hospitals dedicating nearly 25% of their budgets to billing and administrative costs. These phone calls can take over an hour each, pulling skilled staff away from patient care or higher-value work.
The problem persists because healthcare never built the APIs that enable clean system-to-system communication. Instead, provider organisations must navigate fragmented payer systems through old-fashioned phone trees and hold times that stretch productivity thin.
SuperDial’s AI Agent Promise
SuperDial’s platform deploys AI agents to handle outbound phone calls from providers and billing companies to insurers. The technology navigates phone trees, waits on hold and conducts live conversations with payer representatives across tasks like benefits verification, prior authorisation, claims follow-up and credentialing.
When AI agents cannot complete a call, SuperDial’s human call centre team steps in to ensure reliable outcomes whilst continuously training the AI. The platform integrates with electronic health records to automate documentation, writing back data gathered from calls such as claims status updates.
Sam Schwager CEO and Co-Founder of SuperDial
Co-founder and CEO Sam Schwager built SuperDial after experiencing the problem firsthand whilst running a healthcare billing company. ‘The timing is perfect for us to tackle this problem at scale, with AI capabilities quickly maturing and the healthcare sector looking for new ways to drive efficiency by implementing AI across healthcare operations,’ Schwager said.
Since launching at the end of 2023, SuperDial has scaled to seven figures in revenue and tens of thousands of calls per week. The company reports customers have seen up to 3x cost savings per call and 4x productivity gains for their existing billing teams.
SignalFire Doubles Down on Healthcare AI
The $15m Series A round marks one of the first investments from SignalFire’s newly raised $1bn fund focused on applied AI. The firm, which manages approximately $3bn in assets, has built a track record in healthcare tech with investments in companies like Grow Therapy and EvenUp.
‘SuperDial isn’t just automating phone calls – they’re building the connective tissue for how the healthcare system will communicate in the future,’ said Yuanling Yuan, partner at SignalFire. ‘We believe agentic AI infrastructure is inevitable, and SuperDial is leading that development with rapidly growing traction.’
The round includes $3m in venture debt alongside participation from Slow Ventures, Box Group and Scrub Capital, bringing SuperDial’s total funding to over $20m. The capital will fund research and development as well as go-to-market initiatives as the company scales its platform.
Early Evidence of Impact
West Coast Dental provides a case study in SuperDial’s potential impact. The dental services organisation now relies on SuperDial to handle over 10,000 calls per month to check claim statuses – work that previously left nearly 70,000 claims in backlog and would have required five new hires to process manually.
With SuperDial handling the bulk of routine calls, West Coast Dental has significantly reduced accounts receivable days and gained reliable visibility into claims status. The automation freed up existing staff to focus on complex cases requiring human judgment.
Similar productivity gains are appearing across healthcare AI implementations. Case studies from AI providers report 140% productivity increases in revenue cycle management teams, with some organisations supporting 50% more patients at current staffing levels.
The Real Test Ahead
The critical question remains whether these reported efficiencies translate into sustained bottom-line savings for healthcare providers. Historic attempts at healthcare automation have often promised dramatic cost reductions that failed to materialise at scale.
Healthcare organisations face unique challenges in technology adoption. EHR integration remains patchy, system-to-system communication is fragmented and entrenched phone-based workflows persist despite years of digitalisation efforts. Call centre turnover rates of 30–50% create additional pressure for automation, but successful implementation requires careful change management.
Provider chief financial officers need to see sustained savings that flow through to operational budgets rather than simply vendor profit margins. Early adopters report promising signs, but widespread adoption will depend on proving consistent value across diverse healthcare organisations.
Building the Healthcare Communication Network
SuperDial plans to use the new funding to deepen EHR integrations, expand administrative workflows and continue training its AI agents using real-world call data. The company acquired MajorBoost earlier this year to strengthen its technical capabilities in navigating complex phone trees and insurer workflows.
The long-term vision extends beyond individual call automation. SuperDial believes the future of healthcare coordination will be agent-powered, where payers, providers, pharmacies, laboratories and other healthcare organisations communicate seamlessly through AI-to-AI interactions.
This represents a significant departure from current healthcare communication methods. Rather than waiting for the industry to build comprehensive APIs, SuperDial is creating AI agents that can navigate existing fragmented infrastructure on behalf of healthcare organisations.
Healthcare’s resistance to change and complex regulatory environment have historically made technology adoption slower and more expensive than in other sectors. Success will require proving not just technical capability, but sustainable business value that healthcare organisations can measure and scale.
For SuperDial and similar companies, the real work begins now: demonstrating that AI agents can genuinely reduce the administrative burden that has plagued US healthcare for decades, rather than simply adding another layer of technology complexity to an already fragmented system. The stakes are high – and the potential rewards match the billions being invested in healthcare AI.
About SuperDial & SignalFire
SuperDial is a voice AI company automating the phone calls that drain time and money from healthcare operations. Its HIPAA and SOC2 Type 2 compliant AI agents handle benefits verification, prior authorization, claims follow-up, credentialing, and more, freeing up revenue cycle teams to focus on what matters. Customers include leading billing companies and provider organizations. Learn more at www.superdial.com .
SignalFire is the first VC firm built like a technology company to better serve the needs of founders as they build and scale their startups. With approximately $3B in assets under management, SignalFire invests in applied AI companies from pre-seed to Series B in key sectors, including healthcare, cybersecurity, infrastructure, consumer, and other enterprise verticals. Learn more at www.signalfire.com .
