Alan Blackmore’s Post

Ready to future-proof your career as a call center agent? Enhance your AI literacy for success in 2024 and beyond! AI isn't replacing live agents; it's empowering them to deliver better assistance! 🤖 AI-powered contact center software offer countless benefits, including establishing friction-free conversational channels and meeting expanding customer expectations. In fact, 45% of service organizations already use AI-led solutions, as they augment the human workforce and streamline processes amidst high agent attrition rates. What's your take on AI? Join the conversation and share your thoughts in the comments below! #nowhiring #employment #recruiter #CallCenterJobs #CustomerServiceCareers

𝟱 𝘁𝗶𝗽𝘀 𝘁𝗼 𝗮𝗰𝗵𝗶𝗲𝘃𝗲 𝟮𝟰/𝟳 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗵𝗶𝗿𝗶𝗻𝗴 𝗻𝗶𝗴𝗵𝘁 𝘀𝘁𝗮𝗳𝗳: 1. Implement AI phone system • Never miss a call, even at 3 AM • Route urgent issues to on-call staff 2. Set up AI chatbots on your website • Answer FAQs instantly • Collect customer info for follow-ups 3. Use AI for email management • Sort and prioritize incoming emails • Send automated responses to common queries 4. Leverage AI for social media monitoring • Respond to mentions and DMs promptly • Flag critical issues for human attention 5. Integrate AI with your CRM • Personalize interactions based on customer history • Schedule follow-ups for complex issues 𝗦𝗺𝗮𝗹𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝟮𝟰/𝟳, 𝗯𝘂𝘁 𝘀𝘁𝗮𝗳𝗳𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗰𝗹𝗼𝗰𝗸 𝗶𝘀𝗻'𝘁 𝗳𝗲𝗮𝘀𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗺𝗼𝘀𝘁. AI employees bridge this gap, providing consistent support without the burnout. Ready to revolutionize your customer service? Let's chat. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗶𝗻 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝗿𝗼𝘂𝗻𝗱-𝘁𝗵𝗲-𝗰𝗹𝗼𝗰𝗸 𝘀𝘂𝗽𝗽𝗼𝗿𝘁? #AICustomerService #SmallBusinessSolutions #24-7Support #BusinessEfficiency

Will AI take over all Customer Support Jobs? In my opinion, AI will not completely take over customer support roles but rather enhance them. AI is good at handling basic queries, reducing the workload for human agents. It can speed up the process of providing information to customers... ...and identify frustrated individuals needing quick assistance, preventing customer dissatisfaction. Dealing with multiple bots before connecting with a human agent can be frustrating. Personally, such experiences make me rethink using the product or service again. The essence of customer chat support lies in building relationships. Timely responses and empathetic interactions leave customers with a positive feeling towards the brand.. ...leading to stellar reviews, referrals, and long-term loyalty. What are your thoughts on this evolution in customer support? #customersupport #customersupportteam #customerexperience #customerrelations #customerservice #customersuccess #callcenter #innovation #branding

Are you tired of high churn rates and the costs of hiring, training, and supervising call center agents? Imagine a world where AI agents handle repetitive and monotonous calls with consistent quality. VAgents was built from the ground up to be a scalable full-service dialer, workflow manager, and customer support agent. By replacing low-skill workers with AI, we eliminate the costs and fluctuations associated with human agents. This means more stability and efficiency for your business. Curious to learn more? Share your thoughts and experiences in the comments below. #AI #CustomerSupport #CallCenterSolutions

Are you frustrating the living daylights out of your customers by keeping them on hold too long? Is it damaging your brand and reputation? Maybe your customer service or tech support team are slammed with high call volumes and you can't hire and retain the people you need fast enough to eliminate call waiting or provide adequate 24/7 coverage. It's all your fault. You could have deployed fully trained AI Agents months ago to expertly handle inbound customer service and tech support with human like conversation drawing on the entirety of your company knowledge base, technical data and product database. But you didn't and you're stuck in the same cycle of burning recruitment and training budgets and waiting a few months to work out the new hire isn't up to the job, or got poached by a competitor, another department or doesn't really like the role and wants out. The best time to deploy AI to handle inbound sales, customer enquiries and technical support was 6 months ago when the technology matured, the next best time is now. If you want to explore this opportunity to leverage Voice AI and eliminate call waiting, high staff costs, recruitment costs, training costs, holiday pay, sick leave, annual leave and all the other HR costs and headaches, then please get in touch. #customerservice better than a #callcenter #afterhours #techsupport #salessupport #appointmentsetters #ai #voiceAI #conversationalAI #nocallwaiting #ux #branding #leadingedge #virtualassistants #aireceptionist

Are you frustrating the living daylights out of your customers by keeping them on hold too long? Is it damaging your brand and reputation? Maybe your customer service or tech support team are slammed with high call volumes and you can't hire and retain the people you need fast enough to eliminate call waiting or provide adequate 24/7 coverage. It's all your fault. You could have deployed fully trained AI Agents months ago to expertly handle inbound customer service and tech support with human like conversation drawing on the entirety of your company knowledge base, technical data and product database. But you didn't and you're stuck in the same cycle of burning recruitment and training budgets and waiting a few months to work out the new hire isn't up to the job, or got poached by a competitor, another department or doesn't really like the role and wants out. The best time to deploy AI to handle inbound sales, customer enquiries and technical support was 6 months ago when the technology matured, the next best time is now. If you want to explore this opportunity to leverage Voice AI and eliminate call waiting, high staff costs, recruitment costs, training costs, holiday pay, sick leave, annual leave and all the other HR costs and headaches, then please get in touch. #customerservice better than a #callcenter #afterhours #techsupport #salessupport #appointmentsetters #ai #voiceAI #conversationalAI #nocallwaiting #ux #branding #leadingedge #virtualassistants #aireceptionist

What if customer support could be smarter, faster, and more engaging—all without increasing your staffing costs? The traditional customer support model is breaking down. Companies are drowning in support requests, and customers are getting more frustrated by the minute. Enter AI-powered financial service chatbots. And I'm not talking about those clunky, robotic responses that used to drive us crazy. These are intelligent systems that understand what you need: 🤖 Understand context 🎯 Provide personalized solutions ⚡ Resolve complex queries in seconds 🕒 Work 24/7 without breaking a sweat This isn't just making support better. It's making it dramatically more efficient. Companies are seeing real results: 1️⃣ Support queries handled 90% faster 2️⃣ Customer service costs slashed by 30% 3️⃣ Truly 24/7 support without hiring an army of agents These AI assistants are giving your support team superpowers. By handling routine questions, they free up your best people to tackle the really complex stuff that needs a human touch. Who's ready to transform their customer support? #AICustomerSupport #FinTech #CustomerExperience

Well... not really the future of customer service or sales... implementing at scale right now. An interesting part is when the actual human (i.e., customer, prospect) will in the future have their own agentic setup for themselves dealing with company created agents contacting from the other side. Your own personal agents might be authenticated to complete and close out menial or repetitive tasks. Pop, pop, kapow. What? Think about that for a moment. Comments. BTW. I do not gel well with the IT systems language aspect of it at all either (not consumer centric language). #aiagents #autonomousagents #sales #share #service

Bland AI is one of several companies refining conversational voice-based AI for customer support and sales. Having demoed much of what is available, I can say that the models being used, even when properly trained on extensive application specific legacy data, lack some of the nuance required in, for example, a successful executive-level recruiting call. But this is quickly changing and it's clear that AI will be able to verbally navigate even very complex sales and support processes at some point in the not too distant future. Talent acquisition leadership should be actively engaging with these tools and working them into their sourcing, selection, and hiring processes wherever appropriate in order to maximize ROI and improve the candidate experience. Bland makes it particularly easy to get a sense for what they offer by going to their website and entering your phone number; Bland will then give you a call and you can chat with the AI to get a rough sense of some of its capabilities as well as answer any practical questions you might have about the platform.

Revenue per employee (RPE) is a financial metric that measures the average profit each employee contributes. Revenue per employee allows organizations to determine the efficiency, productivity, and profitability of each employee and the company as a whole. Is it hype? Is it real? Doesn't matter. Only matters what people believe.