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Saved February 14, 2026
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Ably outlines its transformation into an AI-first company, emphasizing internal adoption and practical integration of AI across teams. The article details their three pillars for success, the implementation of the Model Context Protocol (MCP), and the tools selected to enhance productivity and collaboration.
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Ably is fully committing to an "AI-first" approach, moving beyond mere rhetoric to integrate AI deeply into its culture and operations. Jamie Newcomb, the Head of Product Operations, has led a company-wide initiative mandating that every employee explore AI to enhance their effectiveness. The goal is to shift from skepticism about AI's utility to an assumption that it can improve processes. Today, AI usage is expected across all teams, not just a trend but a necessity for credibility, especially given Ably's scale of processing 2 trillion operations monthly.
Their strategy rests on three pillars: internal AI adoption, enhancing the developer experience, and proactive product development. Internal adoption focuses on streamlining workflows by automating repetitive tasks, allowing employees to engage in more strategic work. For developers, Ably aims to make its platform more user-friendly through AI-enhanced documentation and tools. The product enhancement pillar ensures that AI capabilities align with customer needs, informing the roadmap based on real-world use cases.
A significant advancement has been the implementation of the Model Context Protocol (MCP), which connects over 140 tools and services, allowing employees to access data seamlessly through AI assistants. This integration eliminates repetitive context-switching and streamlines processes, enabling tasks to be completed more efficiently. Teams have the freedom to choose their preferred AI tools, with Claude and Relay emerging as the primary stack for coding and workflow automation. This flexibility is crucial as Ably builds infrastructure that accommodates various AI models, reinforcing their commitment to a robust, adaptable AI-driven culture.
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