With Assembled, support leaders can unify human and AI agents in one intelligent platform that drives efficiency without compromising quality. Our technology enables over 50% automation of customer interactions, precise demand forecasting, and optimized staffing across in-house teams and BPO partners. From live workload balancing to AI agents that match your workflows and brand voice, Assembled ensures every chat, call, and email is handled with speed and consistency. Companies including Stripe, Canva, and Robinhood trust Assembled to elevate the customer experience and reduce operational costs. Core solutions span workforce and vendor management, real-time performance visibility, and AI Copilot — giving agents translation, reply suggestions, and instant task automation to resolve issues faster.
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Robin by Atera is an autonomous IT operations platform designed to deliver enterprise-grade technical support by automatically resolving device and cloud-related issues. The system uses agentic AI to handle the full lifecycle of IT support requests, from intake to resolution. When an employee submits a request through channels such as Microsoft Teams, Slack, email, or an IT portal, Robin immediately analyzes the issue and verifies the user through integrated identity systems. The platform gathers relevant device and system data to diagnose the problem and determine the appropriate resolution steps. Robin can perform a wide range of actions directly on devices and cloud environments, including installing applications, repairing software, managing system updates, resolving network connectivity issues, and monitoring hardware performance. The platform follows defined security policies and approval workflows to ensure that actions are compliant with organizational rules and access permissions. Robin also logs every action and decision in an audit trail, providing full visibility into support operations. Over time, the system improves its performance through continuous learning by analyzing past incidents, actions, and outcomes. Organizations can monitor Robin’s activities through analytics dashboards that track ticket volumes, resolution patterns, and system performance. By automating technical support tasks and resolving incidents autonomously, Robin helps organizations reduce IT workload, eliminate support delays, and improve overall operational efficiency.
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Boost.ai
Introducing the most intuitive conversational AI platform that requires no coding and minimal effort, boost.ai stands out with its proprietary self-learning AI, offering a comprehensive set of enterprise-ready features designed for businesses to effortlessly automate and enhance their internal operations. This innovative platform merges deep learning and natural-language processing (NLP) with its unique automatic semantic understanding (ASU) technology, enabling it to effectively interpret and respond to user inquiries through various channels including chatbots, Messenger, Skype, and Slack. Among its numerous offerings are a centralized information hub, authentication management, predefined templates, language detection, conversational voice recording, and much more. Furthermore, by supporting platforms such as Microsoft Teams, Zendesk, and Salesforce, boost.ai allows organizations to analyze customer interaction data, assess quality ratings, and track various metrics, ultimately leading to improved customer engagement and satisfaction. As a result, businesses can not only streamline their processes but also foster meaningful connections with their clients.
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IBM watsonx Assistant
IBM watsonx Assistant represents an innovative conversational AI platform that enables a diverse range of users, including those without technical expertise, to seamlessly create generative AI assistants that provide smooth self-service experiences for customers on any device or channel, enhance employee efficiency, and expand organizational capabilities. The platform boasts an intuitive design featuring a drag-and-drop conversation builder along with ready-made templates, making it accessible for all users. It incorporates advanced Large Language Models, Large Speech Models, Natural Language Processing and Understanding (NLP, NLU), as well as Intelligent Context Gathering, which work collectively to enhance comprehension of conversational context in natural language. Additionally, it employs retrieval-augmented generation (RAG) techniques to deliver precise, contextual, and timely conversational responses at all times, ensuring that interactions are rooted in the company's knowledge base. This comprehensive approach not only streamlines communication but also fosters a more interactive and responsive customer engagement strategy.
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