BPO was a revolution, outsource the drudgery, cut costs, scale fast.
But it created a system where call center agents don't know the company they're answering for.
Now AI is resolving 80-90% of issues autonomously.
So do we still need the big call centers? Or does it all come back in-house - a small, skilled team handling only what AI can't?
Nobody wakes up excited to have a service experience. Something is broken. AI might finally fix it.
Full episode with Shashi Upadhyay, head of product, engineering, and AI at #Zendesk on Eye on A.I.: youtu.be/vjnh9rLsrvo#AIadoption#CustomerServiceAI#EnterpriseAI
#Zendesk analyzed a billion customer service tickets.
The finding: 70% is low-value work AI can handle. 30% is high-value work that needs a human.
Right now? Humans are doing all of it. And the 30% suffers.
When AI takes the 70%, humans are finally free to take the live calls. The complex cases. The ones that actually matter.
The goal isn't fewer humans in service. It's better ones, doing better work.
Full episode with Shashi Upadhyay of Zendesk on Eye on A.I.: youtu.be/vjnh9rLsrvo#AIadoption#CustomerServiceAI#EnterpriseAI
AI can already resolve 90% of customer service issues.
So why are we only 5% through adoption?
Shashi Upadhyay, head of product, engineering, and AI at #Zendesk has a clear answer: the pace of technology is far exceeding the pace of adoption.
And adoption is gated by how companies run processes, how purchasing cycles work, how implementation happens.
Those are like laws of physics. They don't improve by a factor of 10.
Five percent. A really long way to go.
Full episode on Eye on A.I. LINK
#AIadoption#CustomerServiceAI#EnterpriseAI
One human agent = one call at a time.
One AI voice agent = 100 concurrent calls. No sleep. No lunch breaks. Infinite scalability.
Aircall's CPO says the ROI could be one-tenth the cost of a fully human operation.
Once you price it out, it's almost a no-brainer.
Full episode with Tom Chen, Aircallโs CPO, on Eye on A.I. youtu.be/7RKGBrihLlA#AIvoiceagents#CustomerServiceAI#Aircall
Most people dread calling customer support.
But what if the AI agent was actually the better experience?
You can hardly tell it's not a human anymore.
Is it better than your best rep? Not yet. But it's better than the average one in a call center.
And the more people use it, the more they see it.
Full episode with Tom Chen, Aircallโs CPO, on Eye on A.I. youtu.be/7RKGBrihLlA#AIvoiceagents#CustomerServiceAI#Aircall
AI employees are only as powerful as what they can connect to.
That is why ClawHire was built with integrations at the center of the platform.
With 12,400 integrations, ClawHire AI employees can connect into the tools businesses already use every day โ CRMs, calendars, email, SMS, phone systems, spreadsheets, social platforms, marketing tools, ecommerce platforms, project management systems, and more.
This is not just another chatbot.
@ClawHire is building the infrastructure for AI employees that can work across real business functions, real workflows, and real software ecosystems.
Sales. Marketing. Customer service. Recruiting. Admissions. Operations. Reputation management. Follow-up. Scheduling. Reporting.
One platform.
Real AI employees.
Thousands of connections.
The future of work is not coming.
It is already here.
Learn more: clawhire.ai#ClawHire#AIEmployees#ArtificialIntelligence#AIWorkforce#BusinessAutomation#SaaS#AIIntegrations#Automation#FutureOfWork#DigitalTransformation#Startup#AIAgents#MarketingAutomation#SalesAutomation#CustomerServiceAI#BusinessGrowth
Most customer service AI projects don't fail because of bad technology.
They fail because teams treat deployment like a demo instead of an operational system.
A production-ready customer service agent needs structured knowledge, guardrails, escalation logic, monitoring, and continuous iteration, not just a good prompt ๐งต
#CustomerServiceAI#AIAgents#EnterpriseAI#CustomerExperience
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The Sierra AI startup just raised $950 million as demand for AI agents grows across major enterprises. With Fortune 50 clients and new automation tools, Sierra wants a bigger role in customer service.
#SierraAI#AIAgents#StartupFunding#BretTaylor#CustomerServiceAI#EnterpriseAI#analyticsinsight#analyticsinsightmagazine
Read More ๐
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AI isn't magic unless it's built right. You gotta lay the groundwork so every chat feels smooth, smart, and spot-on. Leaders? Theyโre the ones making AI work for real, not just hype. Ready to see how?
#CustomerServiceAI#AIinActionmy.sociabble.com/9QZvUnyLabCโฆ