Customer expectations for call center service have risen sharply, but satisfaction has not kept pace.
According to SoundHound AI research based on real-world consumer interactions:
Only 26% of U.S. respondents report being very satisfied with their current options. This low satisfaction carries real business consequences: eroded loyalty, reduced customer lifetime value and lost revenue.
For organizations like yours, that gap shows up quickly in daily operations. Customers struggle to resolve issues on their own, demand escalates and already stretched service teams absorb the pressure. What starts as a customer experience issue often becomes a capacity and cost challenge just as fast.
That is why this moment calls for an operating model shift. A “People First, Digital Always” approach like the one we bring at Experis applies conversational AI to absorb repeatable call center demand while preserving human judgment where it matters most. The result is scale without burnout and efficiency without compromise.
Why Are Call Centers and Service Desks Feeling Staffing Pressure Even When You Keep Investing in Hiring and Training?
Staffing pressure persists because service demand and operational complexity continue to grow faster than headcount can realistically scale. Even strong recruitment and training programs struggle under 24/7 expectations, rising contact volumes and increasingly complex customer needs.
When automation fails, demand does not disappear. It escalates to human teams already under strain, increasing costs and accelerating burnout. SoundHound AI’s research underscores the operational impact:
80% of customers who abandon automation for human assistance drive up operational costs through higher staffing needs, employee burnout and onboarding expenses.
This dynamic creates a compounding effect:
- Call center agents spend more time handling avoidable interactions
- Wait times increase
- Experience degrades
- Attrition rises
What begins as a capacity issue quickly becomes a resilience problem that traditional staffing models and chatbots cannot solve.
Why Do Chatbots and Traditional Virtual Assistants Fall Short?
Chatbots and traditional virtual assistants fall short because they were built to deflect interactions, not resolve them. This creates friction that leads to user drop‑off, repeat contacts and avoidable escalation to human teams.
Most of these chatbots rely on rigid scripts, limited context and predefined decision paths. They work only when requests are simple and predictable. In real service desk and call center environments where issues are nuanced, urgent or slightly off‑script, they break down quickly.
Conversational AI today operates on a different model. Voice‑first, agentic AI is designed to understand intent, reason through context and complete multi‑step tasks across systems, reducing abandonment and resolving issues before they spill back to human teams.
That difference is reflected in outcomes: SoundHound AI research shows that three out of four consumers say AI agents outperform traditional chatbots and virtual assistants, signaling a shift driven by real capability.
In short, the failure was never automation itself. It was applying automation in a way that created friction instead of resolution. The next question is what that better model actually looks like in practice.
What Makes SoundHound AI Different?
SoundHound AI is a clear example of how conversational AI has evolved beyond the limitations of traditional chatbots. Built with a voice-first architecture, it enables natural, real-time conversations that go beyond scripted interactions.
More importantly, its technology is designed to handle complex, multi-turn dialogue and execute tasks across systems, bringing together intent recognition, contextual reasoning and action. These are the capabilities required to resolve issues end to end, not just manage or reroute them, especially in high-pressure service environments
How Does the Experis–SoundHound AI Partnership Help You Operationalize Conversational AI Responsibly?
The Experis–SoundHound AI partnership helps you turn conversational AI into a dependable, enterprise ready service capability by combining agentic, voice-first AI with human expertise, governance and ongoing operational oversight.
Conversational AI creates value only when it works in real world call center environments, across complex systems, regulated environments and imperfect inputs. SoundHound AI brings conversational AI that can reason, act and resolve requests end to end. Experis brings the operating model required to deploy, govern and scale that capability effectively and responsibly.
At the center of this partnership is our “People First, Digital Always” approach. Conversational AI absorbs repeatable demand and completes routine work. People remain in the loop for judgment, exception handling, continuous improvement and accountability. In other words, governance, security and compliance are designed in from the start, not treated as afterthoughts. Together, this creates a solution that is not just technically advanced, but operationally viable, bridging the gap between AI capability and real-world adoption.
The differentiator is not AI alone, but how it is operationalized, governed and continuously improved by Experis experts in support environments.
Together, Experis and SoundHound AI enable conversational AI that is:
- Voice-first and agentic, designed to complete tasks rather than route requests
- Human guided, with intentional escalation and oversight built into the flow
- Secure and governed, aligned to enterprise and regulatory requirements
- Operationalized for enterprise scale, with monitoring and optimization over time
- Compatible with EHR environments
Unlike standalone AI tools or point solutions, this AI model is designed to operate within complex enterprise ecosystems, where integration, governance and continuous improvement determine long-term success.
This is how conversational AI shifts from a promising technology to a reliable part of your service infrastructure, mitigating friction caused by chatbots and older call center staffing approaches.
How Does This Model Directly Benefit You and Your Teams?
This model benefits you by reducing pressure on your call centers and service desks while improving experience for customers and employees at the same time.
Instead of automation creating frustration, abandonment or added workload, conversational AI delivered through the Experis, and in partnership with SoundHound AI, helps rebalance demand across digital and human capacity under real operating conditions.
For you, that translates into measurable benefits that directly address the challenges outlined earlier:
- Fewer escalations and repeat contacts, reducing queue pressure and wait times
- More predictable service costs, without relying solely on hiring to absorb demand
- Shorter resolution cycles, because context is preserved from first interaction to outcome
- Lower strain on frontline teams, helping mitigate burnout and attrition
- Greater confidence in AI adoption, with governance, security and accountability built in
By aligning conversational AI with human expertise rather than positioning it as a replacement, this approach helps you scale service capacity without scaling burnout, risk or inconsistency.
How Can You Turn Today’s Overload into a Scalable Service Desk Advantage?
You turn overload into advantage by treating conversational AI as a foundational service capability. When voice first, agentic AI resolves routine service desk work, customers receive faster answers. When humans remain in the loop, experience and governance are preserved. When delivery is managed holistically, scale becomes sustainable.
In short, this is how enterprises relieve call center staffing pressure without sacrificing service and quality.
Here are the key takeaways for leaders:
- Low customer satisfaction is a structural and technological problem
- Failed automation increases costs by pushing volume back to humans
- Agentic and conversational AI significantly outperform legacy chatbots and scripted tools
- Customers rate modern AI agents on par with human service
- Human centered governance, like that from Experis, is essential to scaling AI responsibly
If you are ready to reduce queues, stabilize service quality and scale support with confidence, contact Experis to see how we can help you operationalize conversational AI the right way. We bring strategy, governance, enterprise grade technology and integration together so automation delivers real outcomes without losing the human core of service.
