Automatdo的封面图片
Automatdo

Automatdo

科技、信息和网络

Woodbury,Minnesota 11 位关注者

AI-powered analytics for contact centers

关于我们

Revolutionizing the way businesses handle customer interactions. Through our AI-driven solutions, we empower businesses to automate operational processes, gain valuable insights, and enhance customer satisfaction.

网站
https://www.automatdo.com/
所属行业
科技、信息和网络
规模
2-10 人
总部
Woodbury,Minnesota
类型
私人持股
创立
2023

地点

Automatdo员工

动态

  • 查看Automatdo的组织主页

    11 位关注者

    ?? Contact centers that integrate AI aren’t just automating—they’re improving customer experiences. And the impact? Huge. ?? Happier customers → Higher retention ?? Higher retention → Increased revenue ?? Increased revenue → A thriving business AI isn’t just a tool; it’s a game-changer for CX. #AIForCX #BusinessGrowth #CustomerSatisfaction #ContactCenterSolutions #Automatdo

  • 查看Automatdo的组织主页

    11 位关注者

    Last week, we highlighted daily evaluations—now, agent profiles also showcase a detailed call log. ?? Key highlights: ? Flagged calls for quick issue identification ? Sentiment analysis to gauge interactions ? Scoring insights to measure effectiveness And there’s more—these insights help teams coach smarter and improve faster. We’ll be sharing more soon! Would this level of visibility make coaching easier in your contact center? #CallCenter #AIInsights #AgentPerformance #Coaching #Automatdo

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  • 查看Automatdo的组织主页

    11 位关注者

    ?? Agent: “Thank you for calling. How can I help you?” ?? Customer: “I already told the chatbot, the IVR, and the previous agent.” ?? Automatdo: “This pattern keeps coming up—let’s fix it.” When customers keep repeating themselves, it’s not just frustrating—it’s a sign of a bigger problem. Automatdo helps teams catch these trends in QA, so coaching and process improvements happen before frustration turns into churn. Let’s stop the cycle. ?? #AIforQA #CallCenterCoaching #Automatdo #QualityAssurance

  • 查看Automatdo的组织主页

    11 位关注者

    Traditional QA vs. Automatdo: What’s the Difference? Imagine two QA managers: ???? Manager A spends hours manually scoring calls. ?? Manager B uses AI-driven insights to spot trends instantly. One is stuck in review mode. The other is coaching, strategizing, and making real impact. Where would you rather spend your time? #AIforQA #CallCenterCoaching #AIinCX #WorkSmarter #ContactCenterInnovation

  • 查看Automatdo的组织主页

    11 位关注者

    It’s Friday. You’ve had a long week. Let’s keep it simple: ? Automatdo is always reviewing calls, even when your team isn’t. ? The most important conversations are flagged automatically. ? Agents get the feedback they need—without the extra workload. And that means you can head into the weekend knowing your QA process is running in the background, catching what matters while you recharge. Enjoy your Weekend. ? #ContactCenterSolutions #SmartQA #BetterWorkflows

  • 查看Automatdo的组织主页

    11 位关注者

    ?? Agent: "Can I get some feedback?" ?? Manager: "Of course! Here’s a 3-week-old report…" ?? Agent: "…" Feedback works best when it’s timely and actionable. That’s why Automatdo provides ?? daily evaluations—so agents and managers can see exactly what’s working (and what needs improvement) without the delay. Instead of waiting weeks for outdated reports, teams get ? real-time insights with clear takeaways every day. Stronger coaching, faster improvements, and better customer experiences. And this is just one of the new features we’ve added! We’ve been busy rolling out a handful of updates, and we’ll be sharing more soon. Stay tuned! Here’s an example of what that looks like: #AgentCoaching #RealTimeFeedback #ContactCenter #AIinQA

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  • 查看Automatdo的组织主页

    11 位关注者

    AI is reshaping software architectures, making real-time data processing more critical than ever. At Automatdo, we’ve built our AI-driven analytics infrastructure using Apache Kafka and Redis to ensure real-time insights, low-latency responses, and seamless scalability. Check out how we leverage these technologies to power next-gen customer interactions:

    查看Ryan Schuetz的档案

    CTO | Software Engineer | Contact Center & AI Technology

    As AI finds it's way into every facet of software, architectures and tech stacks are evolving rapidly. Data strategies now need to accommodate vast amounts of metadata, vector storage has become essential, and event-driven systems are no longer optional—they’re critical. At Automatdo, we have leaned heavily on Apache Kafka and Redis at the heart of our real-time analytics infrastructure. Here’s why: Apache Kafka: Event-Driven Scalability ? Every Interaction as an Event: Voice calls, chats, and customer interactions instantly trigger events for real-time AI processing. ? Robust Performance at Scale: Kafka’s fault-tolerance and distributed architecture handle high throughput effortlessly, even during peak times. ? Rich Connectivity: Extensive connectors and integrations allow smooth data flows between analytics systems and service modules. Redis: Low-Latency Data Access ? Instantaneous Response: Redis delivers microsecond-level access to essential customer and session data, enabling lightning-fast AI decision-making. ? Flexible Data Models: Its versatile structure handles both simple and complex datasets, keeping queries fast and precise. ? Optimized AI Performance: Redis efficiently supports massive read/write volumes demanded by machine learning pipelines. AI-Driven Features in Action ? Instant Sentiment Updates: Kafka streams raw interaction data to AI models, and Redis rapidly updates the resulting insights. ? Dynamic Agent Routing: Redis-powered session data ensures real-time decisions reflect current interaction context. ? Automated Escalation: Kafka triggers immediate escalations if certain critical conditions (e.g., customer frustration) occur. That’s our approach—but I’m curious about yours. Have you chosen Kafka, or do you prefer alternatives like RabbitMQ, SQS, or something else? What other considerations are you taking into account for the AI future? #RealTimeAnalytics #AIArchitecture #ArtificialIntelligence #ContactCenter #CustomerExperience #CX #CustomerSupport

  • 查看Automatdo的组织主页

    11 位关注者

    ?? Your customers don’t just want fast answers—they want quality interactions. But today’s contact centers face some real challenges: ?? High Agent Turnover – With annual turnover rates between 30-45%, maintaining service quality is tough. (TechRepublic) ?? Rising Call Volumes – Many customer care leaders expect a 20% increase in call volume, putting even more pressure on teams. (McKinsey) ? The solution? Smarter QA systems that: ? Review calls automatically ?? Surface key insights ?? Provide real-time feedback ?? Keep your team ahead—without adding to their workload. Because great customer experiences start with great coaching. https://www.automatdo.com/ #CXMatters #CustomerFirst #SmartQA #CallCenter #AI

  • 查看Automatdo的组织主页

    11 位关注者

    ?? Problem: Your QA team is drowning in manual reviews, yet still missing critical insights. ? Solution: Automatdo’s real-time analytics surface the most important calls instantly, so your team can focus on coaching and improving performance where it matters most. ?? More insight, less busywork. That’s how you scale smarter. #ContactCenterSolutions #AIQA #Efficiency #Automatdo

  • 查看Automatdo的组织主页

    11 位关注者

    From cost center to strategic powerhouse—AI is transforming contact centers.

    查看Ryan Schuetz的档案

    CTO | Software Engineer | Contact Center & AI Technology

    A decade ago, contact centers were measured by call lengths and resolution times. This gave way to CSAT, FCR and various KPI’s.?I believe we are quickly entering an era where, they will be measured by the strategic value of every conversation. Thanks to advances in AI, every phone call, email, or chat can be: *Transcribed in real time to capture every detail of the conversation *Categorized into specific issue types, topics, or product lines *Analyzed with metadata (sentiment scores, agent performance, customer intent) This shift transforms the contact center from a huge cost center dedicated largely to resolving issues, into the epicenter of corporate data strategy. When we funnel all this enriched data into product, marketing, and support strategies, we find new ways to optimize processes, predict trends, and deliver a better customer experience. When AI takes the repetitive workload off human agents, it frees our teams to focus on higher-level tasks—like innovating new solutions and engaging customers in more meaningful ways. There will always be issues to resolve—it’s now about leveraging every customer interaction to stay steps ahead of the competition. How are you leveraging your contact center data to gain a competitive edge? Share your insights below! #AI #CustomerExperience #CX #ContactCenter #CustomerService #Automation #DataStrategy #Automatdo

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