Assembled provides an orchestration and execution platform for customer support, specifically managing the coordination between human staff and autonomous AI agents. The company sits at the management and application layers of the agent stack, offering native AI agents that resolve tier-one customer issues across chat, email, and voice channels. Its workforce management software treats these AI agents as part of the broader team capacity, using machine learning to forecast contact volume and schedule resources across human employees, BPO vendors, and digital agents.
For organizations deploying AI, Assembled is significant because it integrates autonomous agents into existing helpdesks and CRMs rather than letting them function as siloed tools. The company champions a hybrid workforce model where AI agents handle routine tasks while human agents receive real-time assistance from copilot tools for complex escalations. This approach focuses on solving the operational friction of capacity planning and context loss, ensuring that AI-driven resolutions are measured and managed alongside traditional human support metrics.
Assembled is building the unified operating system for modern support operations. Originally launching as a next-generation Workforce Management (WFM) platform to help teams optimize staffing schedules, the company has strategically expanded its product suite to orchestrate the entire customer support ecosystem. Their long-term vision is to bridge the gap between human empathy and AI efficiency, enabling enterprises to seamlessly manage in-house agents, BPO vendors, and native AI agents from a single, centralized command center.
The traditional approach to customer support relies on fragmented tools—spreadsheets for scheduling, disparate vendor management platforms for BPOs, and siloed AI bots that cannot hand off context. Assembled’s 'secret sauce' is its deep integration capability and ML-driven unified orchestration. By combining ML-based forecasting with an agentic AI schedule generator, it solves the severe friction of manual capacity planning. Furthermore, its native AI Agents handle tier-one resolution while its AI Copilot provides real-time translation and reply drafting for human agents. The theoretical impact is immense: radically lower support costs, SLA-proof staffing, zero context loss during escalation, and completely optimized hybrid workforce operations.
Assembled plugs directly into an organization's existing tech stack (helpdesks, CRMs, communication channels) via robust integrations and open APIs. It continuously ingests historical and real-time data to accurately forecast contact volume.
Founded in 2018 and headquartered in San Francisco, California, Assembled was launched by three former Stripe employees. The executive team includes brothers Ryan Wang (Co-founder and CEO) and John Wang (Co-founder and CTO). Both have deep engineering roots—Ryan previously focused on machine learning and fraud detection at Stripe, while John brings engineering expertise from MIT and Stripe. The company culture is intensely "obsessed with support," explicitly celebrating workforce managers as the unsung heroes of customer experience.
Assembled targets modern enterprise and SMB support operations. Exhaustive ICPs include:
Assembled operates as a 'Disruptor' and 'Bridge' in the Workforce Engagement Management (WEM) and WFM categories. They sit between established, legacy contact center giants (like NICE or Verint) and purely emerging AI bot startups. Instead of forcing companies into an 'AI-only' strategy, Assembled positions itself as the orchestration layer for a hybrid workforce, allowing brands to systematically adopt AI while leveling up their human operators.
Automate SLA-proof staffing plans and optimize your hybrid workforce operations in real time.
Chat, email, SMS, and voice agents to handle customer resolutions end to end.
Real-time assistance for all of your support agents.
Assembled is hiring