According to Statista, 54% of American consumers say they prefer phone calls to resolve customer service problems. Having the human element of things can be hugely beneficial for everyone involved, but the reality is that it takes up a lot of resources for companies.
A great, modern middle ground is using AI to handle customer call tasks. Here are six of them that they handle better nowadays, so businesses have smoother operations.
1. Customer Call Triage and Intelligent Routing
Voice AI is great at handling the first few minutes of customer interactions since it can identify why someone's calling. How AI call answering works is that it understands natural language and can:
- Categorize requests
- Verify basic information
- Prioritize urgent issues
This eliminates the need to force callers through multiple prompts, and this reduces transfers, shortens wait times, and ensures human agents spend their time on conversations that truly require expertise.
You should monitor:
- First-call resolution rates
- Average handle time
- Transfer rates
- Customer satisfaction
Don't create overly rigid conversation flows, as they can fail when customers describe issues in unexpected ways. AI should always provide an easy path to a live representative whenever confidence in its classification is low.
2. Answering FAQs and Providing Order Status
Many customer service teams get thousands of repetitive calls asking about things like:
- Business hours
- Return policies
- Shipping timelines
- Product availability
- Order tracking
Voice AI can instantly answer these common questions by pulling information from knowledge bases or integrated business systems. This allows businesses to provide accurate responses around the clock and dramatically reduce call volume for human agents.
You can measure success here through:
- Call containment rates
- Average response time
- Self-service completion rates
- Reductions in agent workload
Make sure to regularly update your knowledge base and backend integrations to keep up customer trust.
3. Appointment Scheduling, Intake, and Lead Qualification
The AI system can gather contact details and ask qualifying questions, as well as:
- Confirm eligibility
- Check calendar availability
- Book appointments
- Send confirmations automatically
For sales teams, AI can qualify incoming leads by identifying budgets, timelines, decision-makers, and customer needs before routing high-value prospects to representatives.
You can track the following metrics to measure success:
- Booking completion rates
- No-show rates
- Qualified lead percentages
- Conversion rates
- Scheduling accuracy
One pitfall is asking too many unnecessary questions before delivering value. Conversations should remain concise.
4. Payment Reminders and Account Follow-Ups
Unlike manual calling campaigns, AI can consistently contact customers at scale and personalize messages with account-specific information. It's useful for proactive outbound calls involving:
- Payment reminders
- Overdue invoices
- Subscription renewals
- Account notifications
It can even answer common billing questions and process payments through secure integrated systems.
Your business should measure:
- Payment completion rates
- Promise-to-pay rates
- Successful contact percentages
- Reductions in delinquent accounts
Take care to comply with applicable communication regulations and respect customer contact preferences.
5. Multilingual Customer Support With Smart Escalation
Modern voice AI can communicate fluently across multiple languages, so you can support diverse customer bases without having large multilingual call center teams. AI can detect a caller's preferred language and continue the conversation naturally. It can also escalate to appropriately skilled human agents when necessary, and this creates a smoother experience for both customers and employees.
Useful metrics to measure are:
- Language-specific containment rates
- Escalation accuracy
- Customer satisfaction by language
- Average resolution times
Don't assume AI should resolve every conversation independently, though. Define clear escalation rules based on complexity, customer frustration, confidence scores, or requests for human assistance.
6. Voicemail-to-Ticket Processing and Case Creation
Voice AI can eliminate a lot of manual work by:
- Automatically transcribing messages
- Extracting key information
- Identifying urgency
- Creating support tickets
- Assigning cases to the appropriate department
AI can produce structured summaries of every voicemail, which significantly speeds response times and reduces administrative overhead. Just make sure not to rely solely on transcripts without validating low-confidence speech recognition results.
Things you should monitor include:
- Ticket creation accuracy
- Transcription quality
- Average response time
- Backlog reduction
- Routing precision
AI Can Help With Customer Call Tasks
If your company is overwhelmed with customer calls, then AI agents can be beneficial. They can take a huge part of manual, rote labor off your human representatives' shoulders, and this results in more focused and complex work that keeps them engaged.
Check out more of our website if you're curious about learning more.
