Hire your first AI Service technician and AI Technical Support Engineer who will work with you like your teammate and coworker. 60% of the Operating budgets for B2B Product Companies is Support and Service. Product technical support is complex requiring engineers and technicians consistent onboarding, training. Most knowledge is with Experts and when attrition happens, knowledge is lost! Over 40% of Engineer's time goes in creating knowledge. Budgets are locked and teams are looking for every way to scale with quality. Ascendo AI teammates are Human aligned, self learning, measure themselves in quality, speed, accuracy and are trained for these industries - High Tech, Medical Devices, Energy, Utilities and Industrial Equipment. Companies like Infinera, Teradata, EDF Renewables, GE Healthcare and many more use Ascendo to bring quality and consistency with scale! Ascendo offers Knowledge first AI teammates for B2B complex service and support teams. These AI teammates enable technical and field support engineers and their teams provide superior Support Experience. AI teammates automate and enhance every step of the complete product support journey experience working alongside humans. It behaves like an expert in their back pockets across customer journey workflows.
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Ascendo AI is a co-pilot for Enterprise service teams. Ascendo generates new knowledge based on relevant solutions, predicts precise debugging steps, refines knowledge down to the spare part level just like what an expert would have done. Ascendo provides a highly accurate game plan for complex expert, remote, field, contact center or self service support. Using Ascendo's superior AI explainability, teams reduce resolution time and escalations, identify patterns to become proactive in service operations and spare parts logistics operations.
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75% of #consumers prefer #SelfService over speaking with #support. (Shoutout to Zendesk for the insight.) (Link in Comment) Are your support strategies leaning into self-service tools, or is the human touch still essential? #AgenticAI #AIAgents #TechnicalSupport
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Digital fatigue. Personalization at scale. Omnichannel consistency. Annette Franz, CCXP makes a great point- customers don’t think in channels; they think in journeys. But keeping CX seamless across every touchpoint? That’s the real challenge. We’re seeing #AIAgents solve this by keeping context across every touchpoint. (Link in comment) Curious—how’s your team tackling this? Let’s trade ideas. Aneel J. Diane Cho Chris Quirk #AIinCX #AgenticAI #TechnicalSupport
On this #Thanksgiving, we want to give thanks to all the #TechnicalSupport and #FieldService pros who work tirelessly behind the scenes. You’re the true unsung heroes—always solving issues, making sure things run, and never seeking the spotlight. Your work doesn’t go unnoticed. We’re grateful for you every day. To truly recognize your impact, we’re working on something big: the first-ever comprehensive salary survey for support services professionals. 🎯 Curious? Interested in taking part? Drop us a line or stay tuned—this is just the beginning. Happy Thanksgiving to all who quietly save the day every single day. 🍂 #HappyThanksgiving2024 #AgenticAI #AIinSupport
LinkedIn Community! Just came across Tom Lewis’s (TTEC Digital) article on AI in CX, and one stat jumped out: 80% of businesses see AI as strategic, but less than 25% are actually getting value from it. (Link in comment) His take? Rushing into AI without clear use cases is the killer. Spot on. Makes us wonder—how’s your team approaching AI in support? Seeing wins, or still figuring out where it fits? Let’s swap notes. #CustomerExperience #AI #CXInnovation #AgenticAI #AIAgents
LinkedIn Fam! We just found some eye-opening insights about #AIAgents in #FieldService. Did you know that companies leveraging AI can cut downtime by 20% and improve first-time fix rates? (Link in comment) Shoutout to Michael Kleweken for highlighting AI's efficiency perks, and to Timo Schramm, who emphasizes a holistic view of AI’s long-term benefits. Also, Johann Diaz nailed it when he said these tools are true collaborators in improving customer experiences. Have you seen similar results in your work? Let’s share your thoughts! #AgenticAI #AI #AscendoAI
🚀 AI in Technical Support: What’s Next? 🚀 This week, we explore how AI is transforming tech support—from improving collaboration to turning data into predictive power. 🔗 Read the full newsletter here ⬇️ #AI #TechSupport #SalarySurvey #ArtificialIntelligence #Collaboration
Large Language Models trained on proprietary data will be a game-changer in 2025. As Dr Martin De Saulles shared earlier this month, "As markets become more competitive, building a defensible moat from data can make all the difference." We couldn't agree more. Some quick takeaways: -Training LLMs with proprietary data can drive 15–25% EBITDA growth by delivering tailored insights and business value. -Properly prepared, high-quality data improves AI outcomes by 20%, while poor inputs often lead to project failure. -Companies like Morgan Stanley, BCG, Volkswagen, and ScottsMiracle-Gro are successfully leveraging LLMs for efficiency and customer-focused innovation. We don't just think using proprietary data with LLM's is the future, we think if you're not working towards it by the end of next year, you're going to be left behind. #Data #LLM #AgenticAI #TechnicalSupport #AIAgents #AITeammates
Just dropped a new blog post about the future of technical support with AI teammates! (Link in comment) Key Points: -Advanced AI agents can automate routine inquiries, analyze data and execute workflows! -They’re trained to work alongside human agents, allowing for deeper problem-solving. -This shift aims to improve consistency, scale, efficiency and customer experience. We believe this is a huge step forward! It’s all about collaboration—AI enhancing human capabilities rather than replacing them. What are your thoughts on AI in technical support? Let’s hear your experiences! Hannah Clark Steiman Tony M Casebolt Gordon James #AIAgents #AITeammates #AgenticAI #TechnicalSupport
#AgenticAI has the power to transform field service operations—think autonomous decision-making, smarter workflows, and faster issue #resolution. But with great power comes… well, you know the rest.
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Hey everyone! We just came across this insightful article by Ricardo Saltz Gulko in CMSWire on how to turn organizational silos into collaboration engines. One stat that really stood out? Over 56% of businesses are already using AI for customer interactions, and that number is projected to skyrocket to 95% by 2025! 🤯 ( Forbes Advisor Survey) It’s clear that AI is changing the game in customer support, making things faster and more personalized. But we’re curious—how are you all leveraging AI in your support strategies? Let’s chat about it! Piyush Wason Amit Rawat, PMP Dan Koroscil Also, check out our latest blog post(Link in Comment) on how AI agents are transforming technical support. Together, we can break down those silos! #AgenticAI #AIAgents #TechnicalSupport