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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Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.
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Claude Tag
Claude Tag is a Slack-based AI collaboration product from Anthropic that allows teams to work with Claude as a shared teammate. The product lets administrators connect Claude to selected Slack channels, tools, data sources, and codebases so users can tag @Claude and delegate tasks directly inside team conversations. Claude Tag is designed to extend the evolution of Claude Code by making Claude more proactive, more collaborative, and better suited to team workflows. Users can ask Claude for help in simple language, and it will break the task into stages, work through the steps, and return results in a Slack thread. Because Claude operates within a channel, the experience is multiplayer, meaning team members can see what Claude is working on and pick up the conversation where others left off. Claude can build context over time from the channels and information it is permitted to access, helping teams avoid repeatedly explaining the same background details. With ambient behavior enabled, Claude can take initiative by surfacing relevant updates, following up on stalled threads, and flagging information from connected tools or channels. Claude Tag also supports asynchronous work, allowing Claude to pursue tasks over hours or days while users focus on other priorities. Direct messages are available for private requests using personal tools and connectors that a user has configured. Administrative controls allow organizations to scope channel access, separate memories by use case, limit token spending, and view logs of what Claude has done and who requested each task. Claude Tag is built for Enterprise and Team customers that want to add governed, proactive AI collaboration to Slack while keeping access, memory, and activity visible to administrators.
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Concierge AI
Concierge AI emerges as an advanced assistant driven by artificial intelligence, focused on the seamless integration of AI functionalities with personalized workflow automation. Unlike traditional AI helpers that often produce generic responses, Concierge AI connects directly with popular SaaS applications like Gmail, Slack, Notion, Jira, Linear, Attio, and HubSpot, allowing for instantaneous access to data and task execution. This feature enables users to easily integrate their favorite tools, empowering the AI to work with data in real time and fostering a smooth workflow without the hassle of switching between different applications. Users benefit from access to top-tier AI models such as GPT, Claude, Grok, and DeepSeek through just one subscription, simplifying the management of various AI resources. Whether the requirement is to draft a Product Requirements Document in a specific format or to compose a sales email with a desired tone, Concierge AI can customize its outputs to align with individual preferences, thus boosting the effectiveness and personalization of automation. Moreover, users have the ability to ask Concierge AI to assess and analyze their past communications for valuable insights, further enhancing the user experience by delivering actionable feedback based on previous interactions. This multifaceted approach ensures that users receive not only tailored assistance but also continuous improvement in their communication strategies.
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