Callsi AI: Revolutionizing Call Management with AI Agents

Customer service scripts were written for call centers. Static FAQs. Rigid flows. Long hold times. Voice AI isn’t that. Customer needs aren’t like that. Questions shift. Context matters. Patience runs thin. Scripts can’t see the nuance, or the emotion. So we built Adora AI to meet customers where they are; after-hours, in the moment, with empathy and efficiency. Ask for proof on the big things: ✔️ Customer experience: natural conversations, not robotic menus. ✔️ Continuity: 24/7 coverage without burning out human teams. ✔️ Context awareness: integrates with your CRM so every call has history. ✔️ Scalability: handle 10 calls or 1,000 calls instantly. ✔️ Trust & transparency: clear handoff to humans when needed. Because customer care isn’t just about picking up the phone. It’s about listening, resolving, and building loyalty. That’s where Adora fits in. Framework in the comments.

STATE OF SERVICE 2025 — NEW RESEARCH based on survey of 6,500+ global service leaders By 2027, 50% of service cases are expected to be resolved by AI, up from 30% in 2025. AI agents are revolutionizing the service industry by boosting efficiency, cutting costs, and improving customer satisfaction. 4 out of 5 service leaders say AI agent investment is essential to meet business demands. ZDNET Salesforce https://lnkd.in/edN9FdtP

Introducing the AI Call Assistant: Your 24/7 Product Advisor In today’s fast-paced market, customers expect instant answers. Missed calls, long wait times, or unavailable staff often mean lost sales opportunities. At Laneda SmartTech, we’ve built an AI Call Assistant specifically designed to address this issue. 🔹 What it does: Answers customer calls 24/7, no missed opportunities. Provides accurate product advice (features, pricing, availability). Guides customers toward the right purchase decisions. Handles multiple calls simultaneously, scaling your support without scaling your costs. Seamlessly transfers complex questions to your human team when needed. 🔹 Why it matters: Your customers will always feel taken care of, even outside business hours. Businesses that adopt AI call assistants see: Increased lead conversion rates. Higher customer satisfaction. Significant time and cost savings on routine calls. 🔹 Use Case Example: A customer calls late at night, unsure which service package fits their needs. Instead of reaching voicemail, your AI assistant picks up, answers their questions, and directs them to the right product or service, ensuring you never lose a sale due to timing. ✨ This isn’t just an AI agent, it’s a complete business solution that integrates directly into your existing call flow. 📩 DM us today for a live demo 💬 Or leave your question in the comments. Let’s explore how AI can elevate your customer experience.

Magellan Solutions USA and Revmo Partner to Transform Customer Service with AI Magellan Solutions USA, a leading provider of business process outsourcing and customer management solutions, has announced a strategic partnership with Revmo AI, a developer of industry-leading voice automation technology. Together, the companies are developing advanced AI customer service agent capabilities designed to transform how organizations deliver support across industries. The partnership combines Magellan’s proven customer engagement channels and process expertise with Revmo’s cutting-edge conversational AI. The result is a hybrid support solution that integrates AI-driven service with seamless human involvement. This model provides faster responses, personalized interactions, and cost-efficient scalability, while ensuring human agents remain central to high-value, complex, and emotionally nuanced customer needs. https://lnkd.in/gFPTTasR

The AI Revolution in Customer Service: A Case Study of Salesforce Our understanding of customer service is being transformed by technological innovations. A prime example is revealed in a recent podcast by Marc Benioff, CEO of Salesforce, where he discusses the company's successful integration of Artificial Intelligence (AI) in their customer service operations. As of September 2025, Salesforce has streamlined its customer support, reducing the team size from 9,000 to 5,000. Notably, AI agents are now managing about 50% of customer interactions, underscoring the enhanced efficiency through AI adoption. This adjustment allows Salesforce's dedicated staff to concentrate on more complex and personalized customer issues. Simultaneously, customers benefit from the efficiency and accuracy of AI. The Salesforce case is a perfect example of how companies can embrace AI's capabilities to improve service quality, operational efficiency, and customer satisfaction. As we step further into this promising future, it's crucial to stay in tune with such technological advancements

Customer expectations are rising — can your service keep up? AI-powered customer service isn’t just a trend. It’s essential. At High Peak, we help businesses turn support into a strategic advantage. Key benefits AI brings to customer service: ✔️ 24/7 availability with faster resolutions ✔️ Personalized, scalable interactions ✔️ Real-time feedback and valuable analytics ✔️ Consistent service quality across every touchpoint ✔️ Multilingual and proactive engagement ✔️ Lower costs by automating repetitive tasks The result? Happier customers, empowered teams, and smarter operations. Read more: https://lnkd.in/gXZXF5_5

A staggering 80% of companies believe they provide a great customer experience, but only 8% of customers agree. Your customers are telling you how to grow, but you're not listening. The greatest competitive advantage isn't a new product. It's a new system for understanding your customers. Most companies pour resources into internal strategy and roadmap planning, often in a vacuum. The result? They launch a feature or a product that completely misses the mark. The problem is a simple one: an internal-first focus almost always misses what’s truly important to the customer. Action is what makes feedback valuable—not just a survey form. Here’s how to build a system that turns passive feedback into a growth engine with specific AI tools: ✅ Normalize Customer Reviews: Make reviewing and distilling customer insights a daily habit, not a quarterly task. Instead of manual review, use AI to automate the process. - The simple approach: feed customer support tickets into ChatGPT or Google's Gemini with a prompt like: "Analyze these 500 support tickets and identify the top 3 recurring pain points and the sentiment behind them." If you have the resources, explore platforms like Yotpo or Reviews.ai that analyze reviews, giving you a pulse on customer sentiment. If you automate responses to review, it’s even more critical to analyze after the fact. ✅ Make It Visible: Create a "You Said, We Did" system. When a customer suggestion leads to an improvement, announce it publicly. Reward Customer Centricity: Tie customer feedback directly to performance. Reward employees who internalize customer insights and drive improvements in your product, operations, and support. This is really about moving your culture to be more and more customer driven. By building these systems, you don't just collect data—you create a continuous, profitable feedback loop that fuels innovation and aligns your entire organization around the customer.

Tired of answering the same customer questions over and over again? Your website's FAQ section could be working harder for you. AI-generated FAQs are transforming how small and medium businesses handle customer inquiries. Instead of manually crafting answers to common questions, AI can analyze your existing customer interactions, support tickets, and product information to automatically generate comprehensive, accurate FAQ content. Here's what makes this technology particularly valuable for SMBs: → Time savings: What used to take hours of writing can now be done in minutes → Consistency: AI ensures your answers align with your brand voice and messaging → Coverage: Identifies question gaps you might have missed manually → Easy updates: Automatically refreshes content as your business evolves According to recent industry studies, businesses using AI-powered customer service tools see up to 67% reduction in response times and improved customer satisfaction scores. The best part? You don't need to be tech-savvy to implement this. Many platforms now offer simple, drag-and-drop interfaces that let you generate professional FAQ sections without any coding knowledge. Your customers expect instant answers. An AI-powered FAQ section works 24/7, reducing support tickets and freeing up your team to focus on growing your business. Ready to give your customer service a competitive edge? #SmallBusiness #AI #CustomerService #BusinessAutomation #FAQ #SMB #DigitalTransformation #BusinessEfficiency What's your biggest challenge with customer support right now? Share your thoughts below – I'd love to help you explore AI solutions that fit your business.

While everyone celebrates Decagon's $131M as the future of AI customer service, I'm watching the companies that quietly chose hybrid approaches already winning. The customer service industry is at a fascinating inflection point. We're looking at a market approaching $1 trillion by 2030, with AI-powered support alone is expected to hit $48 billion. Two distinct philosophies are emerging: 1- The "Full Automation" Camp: Replace human agents entirely, scale infinitely, cut operational costs by 70-80%. It's compelling on paper and exactly what investors want to hear. 2- The "Hybrid Intelligence" Camp: AI handles predictable volume while humans focus on complex interactions requiring judgment and empathy. Here's what we're seeing in practice: Companies that rushed to full automation are now walking it back. McDonald's is a prime example: They tested AI-powered drive-thru ordering for over two years with IBM, then pulled the plug in 2024. The reason? Despite the technology's promise, the small percentage of errors created viral customer complaints and damaged the brand experience. The pattern is becoming clear across industries: - AI excels at high-volume, routine inquiries - Humans remain essential for nuanced problem-solving and brand voice consistency - The sweet spot is intelligent workflow design, not wholesale replacement The most successful implementations treat AI as a force multiplier, not a replacement. AI drafts responses, suggests solutions, and automates simple cases while humans validate, personalize, and handle complex escalations. This hybrid approach is proving superior because it maintains the speed benefits of AI while preserving the judgment and empathy that complex customer relationships require. The companies getting this right are seeing both operational efficiency gains and improved customer satisfaction scores. At Achille, we've built our platform around this hybrid philosophy from day one. Our AI learns each brand's voice and handles the predictable 80%, while expert agents focus on the complex 20% that drives real loyalty. P.S - I've got a 10-minute framework that shows exactly where AI should handle your support vs where humans are non-negotiable. DM me "FRAMEWORK" if you want it.

Your customer service team lost another client yesterday. Not because your product failed. Not because your prices were wrong. Because Sarah from accounting got the same generic response that 10,000 other customers received this month. Here's what's broken: 91% of customers want personalized experiences, yet most companies still operate like it's 1995. The real problem? Your data exists. Your interaction history is there. Your agents want to help. But nothing connects. Agent 1 wastes 15 minutes researching across three systems just to answer a simple question. Agent 2 doesn't know the "angry" customer calling about billing just posted a glowing review yesterday. Agent 3 sends enterprise-level troubleshooting to first-time buyers because context doesn't exist. I watched a mid-sized software company fix this in 90 days: ✅ Single dashboard with complete customer context ✅ Real-time AI sentiment analysis during calls ✅ Automated follow-ups based on actual conversations Results: 40% higher satisfaction scores. 23% less churn. $2.1M additional revenue from AI-powered recommendations that actually made sense. The secret isn't new software. It's connecting what you already have. Three layers that work: → Context Awareness (who they are, what they need) → Predictive Intelligence (what they'll need next) → Dynamic Response Adaptation (how they want it delivered) Most companies think personalization means using first names in emails. That's mail merge, not relationship management. Real customer service personalization turns every interaction into an opportunity to strengthen the relationship. Your competitors are still sending "Dear Valued Customer" templates. Your customers are frustrated by agents who treat them like strangers. The opportunity is right there. Ready to become an AI Officer and transform customer service from cost center to revenue driver? Join the AI Officer Institute where we show you exactly how to implement the three-layer system that's working for companies right now https://lnkd.in/gHmx2-SA #AIUpskilling #AIInBusiness #AIOfficer #CustomerSuccess #PersonalizationAI #CustomerService #AITransformation