Traditional interactive voice response (IVR) systems (i.e. “Press 1 for Sales”) are falling out of fashion in today’s contact center environment, in no small part because they annoy customers while burying contact center agents in unnecessary calls.
The solution? AI agents working side-by-side with human professionals.
As No Jitter coverage reports, adoption of autonomous AI agents in contact centers is becoming an increasingly common step for modernizing customer experiences and streamlining agent workflows.
Recent advancements in AI technology have allowed integrated AI systems to move from generative AI (chatbots) to agentic AI (AI agents and assistants), which integrates with enterprise software to provide a range of sophisticated services such as:
- 24/7 intent-based call routing, ensuring customers never hit a dead line
- AI completion of simple, yet tedious tasks such as routine data requests
- Copilot assist to free up mental bandwidth for agents and surface customer data
- Automated call summaries and reviews to improve post-contact feedback
Intermedia Unite is already helping contact centers streamline their communications, and integrated enterprise AI solutions only further modernize what it means to provide a good customer experience.
How AI Voice Agents are Transforming High-Volume Support
Modern customer service automation works because AI voice agents understand intent, rather than keywords, which makes an incredible difference at scale.
Where legacy IVR systems listen for rigid phrases like “billing” or “cancel,” today’s AI agents parse natural, conversational language in real time. Intermedia AI agents can receive a caller who says “I’ve been charged twice and I need this fixed now,” and then route, verify, and resolve the immediate query without pressing a single key, all thanks to new technology advancements:
- Natural language processing: AI agents interpret meaning, tone, and urgency across accents, sentence structures, and mid-conversation pivots, handling ambiguity that would stump any IVR decision tree.
- Complex workflow execution: Refunds, cancellations, appointment scheduling, and multi-step verifications are handled end-to-end, with the agent querying live systems, confirming outcomes, and routing comprehensive requests to humans as needed.
- Improved resolution speed: Tasks that once took four to seven minutes often resolve in under 60 seconds with modernized contact center software. This frees up time for human agents to focus on complex, empathy-heavy tasks.
Klarna, interestingly, has led the charge, and understands that strong AI agent automation works hand in hand with human support, not against it. As Klarna spokesperson Clare Nordstrom put it for CX Dive:
“AI gives us speed. Talent gives us empathy. Together, we can deliver service that’s fast when it should be, and emphatic and personal when it needs to be.”
The Short-Term ROI of Automated Customer Service
Automated customer service delivers measurable business value faster than almost any other enterprise technology investment, and in our experience, the numbers back that up.
Speed to Value is the defining short-term advantage of agentic systems over legacy deployments. Traditional IVR rollouts require months of decision-tree mapping, QA testing, and stakeholder sign-off. Intermedia AI, by contrast, learns from live interactions and can be deployed at enterprise scale in almost no time at all; Intermedia’s onboarding, ease-of-use considerations, and comprehensive training compress the path from deployment to ROI dramatically.
The #1 KPI that AI agents improve is CSAT (Customer Satisfaction Score). Customers who reach resolutions faster (without menu mazes, repetition-heavy shuffling between departments, etc.) report significantly higher satisfaction scores. That satisfaction lifts retention rates, reduces churn, and compounds revenue in ways that headcount savings alone never could.
Human talent redeployment is the third area that improves. When routine queries are handled autonomously, experienced agents are freed for complex negotiations, escalations, and relationship-building, ensuring they have the mental bandwidth and time necessary to make each customer experience truly special.
That combination of human and AI agent is something we can’t overstate enough, as we’ll explore shortly.
The Hybrid Model: Balancing Speed with Human Empathy
The most effective AI call center strategy isn’t designed to put support agents out of a job. Instead, it’s humans and machines working together, each doing what they do best.
Intermedia AI handles the repetitive, time-sensitive, tedious tasks, such as account lookups, order status, appointment confirmations, etcetera. That frees senior account managers to focus exclusively on complex negotiations, escalations, and relationship-building; in other words, the moments where human judgment and empathy genuinely matter.
In practice, AI agents increasingly function as co-pilots for human reps. Before a live agent joins a call, the AI has already retrieved account history, flagged sentiment signals, and summarized the issue. The human steps in fully briefed and doesn’t need to ask an annoyed customer to repeat themselves from scratch.
Brand voice is another critical step that keeps humans employed and productive. After all, automated channels must sound like your company, not a generic bot. This means defining tone, vocabulary, and escalation language deliberately, which is a fundamentally human task.
Done right, Intermedia Unite’s agent assist hybrid model works hand in hand with your brand and your talent to enhance the existing talents of your support team.
4 Key Takeaways for Modern AI Agent Success
Effective call center AI deployment comes down to four principles that improve customer retention rates and satisfaction:
- Prioritize action-enabled agents over passive chatbots. The real ROI comes from AI that does things: processes refunds, updates accounts, books appointments, and optimizes communications and file lookups. Intermedia AI integrates fully with most CMS platforms and software, ensuring maximum cross-compatibility.
- Make CSAT your north star in the first 60 days. Speed metrics matter, but customer satisfaction scores reveal whether automation is actually working or just moving frustration faster. Track CSAT weekly, not monthly, so you can course-correct early.
- Connect AI agents directly to your CRM from day one. Personalized context (past purchases, open tickets, account status) turns a scripted bot into a genuinely helpful agent.
- Redeploy saved human bandwidth toward revenue. Every hour your team isn’t handling routine resets is an hour available for upsells, retention calls, and relationship-building that drives long-term growth. Let Intermedia do the tedious work for you, so you can do what you do best.
Streamline Your Contact Center with Intermedia AI
Not all AI agent automation is built equal; in the end, these platforms are only as effective as the technology and knowledge base powering them.
Intermedia AI agents can handle complex, multi-turn conversations while integrating fully with other contact center communication systems, preventing disconnect and multi-application juggling. Our VoIP unified communications keep everything in one place with a 99.999% uptime guarantee, ensuring you don’t need to source a dozen vendors for a dozen interconnected services.
Contact us today to see how a shift from legacy IVR to modern Intermedia AI can reimagine the way your contact center serves customers.
Mark Sher
Mark Sher, a 30-year telecom and cloud communications executive, is the SVP of Product Marketing for Intermedia Cloud Communications, a leading provider of UCaaS, CCaaS, and business cloud application solutions to partners and the businesses they serve. In his role, Mark has global responsibility for all direct and indirect product marketing at Intermedia including product launches, product messaging and positioning, competitive intelligence, analyst relations, and cross-channel pricing.
June 8, 2026
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