Amplitude launches AI agents that monitor products in real time, analyze user behavior and recommend actions as teams ship software faster than ever.
Amplitude Inc. is betting that in an era of AI-assisted software development, the real bottleneck is no longer writing code — it is understanding what to build next.
On Tuesday, the San Francisco–based company introduced a suite of autonomous AI agents designed to continuously analyze product usage, surface insights and recommend actions in real time. The announcement positions Amplitude at the center of what it calls the next era of “agentic” analytics — where AI monitors products around the clock while teams focus on execution.
The timing is deliberate. AI coding assistants from companies such as Anthropic, OpenAI and emerging developer tools have accelerated the pace of software releases. But as product teams ship features faster than they can evaluate their impact, the feedback loop has strained.
“We’re entering a new era of analytics—one where AI can monitor your product around the clock and free up your team to focus on improving the experience,” said Spenser Skates, Amplitude’s co-founder and chief executive. “Today, we’re launching the first fully autonomous analytics agent.”
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From Questions to Action
At the center of the launch is a “Global Agent” capable of answering complex product questions in plain language. The system analyzes data across funnels, experiments and customer journeys, builds dashboards, identifies root causes and recommends next steps — and can execute actions directly within Amplitude.
Four specialized agents complement the Global Agent:
- Dashboard Monitoring Agent detects significant metric shifts within hours and delivers insights via Slack or email.
- Session Replay Agent reviews user sessions at scale, identifies friction and estimates revenue impact.
- Web Experimentation Agent designs and evaluates experiments while keeping humans in the loop.
- AI Feedback Agent converts unstructured survey and support data into behavioral insights tied to product usage.
Unlike generative AI tools that simply query a data warehouse, Amplitude said its agents operate within a behavioral analytics system built specifically for product data, enabling contextual understanding rather than isolated queries.
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Analytics Inside the Workflow
Amplitude also announced updates that integrate behavioral data into tools where teams already work, including GitHub, Figma, Notion and developer environments. Engineers can validate and measure feature impact within coding workflows, while product and design teams can incorporate analytics directly into collaboration tools.
Early customers report gains in speed and self-serve capabilities. Executives at NTT DOCOMO said the platform helped scale analytics access to more than 1,000 users while reducing analysis time for campaign performance. At Mercado Libre, product leaders said the agents reduced reliance on manual reporting and surfaced automatic insights into funnel performance and conversion trends.
For Amplitude, the broader ambition is clear: transform analytics from a retrospective reporting function into a continuous, autonomous system that shortens the distance between insight and impact.
As artificial intelligence makes building software easier than ever, the competitive edge may shift to those who can learn from it just as quickly.
