Amplitude Introduces Agentic AI Analytics

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5. Amplitude Introduces Agentic AI Analytics

To help companies close the gap between shipping software and knowing what to build next, Amplitude, Inc. has announced a series of AI agents that continuously analyse product usage, identify what’s working and what isn’t, and recommend actions to take in real time.

The news comes as AI coding assistants from companies like Anthropic, OpenAI, Cursor, and Lovable have made it exponentially easier to create software. 

But as teams can ship features faster than they can learn what is working for users, the need for AI-first behavioural analytics tools becomes more important than ever.

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“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, Co-Founder and CEO at Amplitude.

“We’re launching the first fully autonomous analytics agent. It’s going to reinvent how product decisions get made.”

As part of the launch, Amplitude announced a Global Agent, four specialised Agents, and MCP updates that bring behavioural data to where people already work—such as tools from Anthropic, OpenAI, Cursor, Figma, Lovable, Notion, and GitHub. 

Combined, they make it possible for companies of all sizes to move from insight to action in minutes instead of months.

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With Global Agent, teams can ask complex questions in plain language and get instant answers. The agent analyses data, builds dashboards, investigates root causes, and explains what’s driving changes across funnels, experiments, segments, and customer journeys. It then recommends what to do next and takes action directly in Amplitude.

Four specialised agents—focused on monitoring dashboards, reviewing user sessions, running experiments, and processing feedback—handle the tasks that typically bog product teams down.

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• Dashboard Monitoring Agent – Detects meaningful metric changes within hours, investigates why they happened, and delivers insights and recommended actions via Slack or email.
• Session Replay Agent – Reviews hundreds of user sessions continuously, spots hidden friction, quantifies revenue impact, and recommends specific fixes.
• Web Experimentation Agent – Designs and launches experiments, analyses results, and makes rollout or iteration decisions, all while keeping a human in the loop.
• AI Feedback Agent – Turns unstructured feedback from surveys and support tickets into actionable insights by mapping themes to actual user behaviour.

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Unlike AI tools that simply query a data warehouse, Amplitude’s AI agents operate inside a system that is purpose-built for behavioural analytics. This means the agents understand context, not just data, leading to clearer, more accurate, and more actionable insights.

• AI Assistants: Ask Claude or ChatGPT to summarise user behaviour, pull charts, and answer product or campaign questions using Amplitude data.
• Development: Validate, debug, and track impact with product context inside Cursor or Claude Code. Add behavioural context to GitHub pull requests. Build and ship AI features with integrated product insights in AWS Kiro.
• Design & Prototyping: Validate and refine Lovable concepts with product performance and feedback. Identify user friction and generate data-backed prototypes in Figma Make.
• Product & Collaboration: Analyse and surface product opportunities with Notion agents. Make Amplitude charts and analytics searchable in Atlassian Rovo.
• Sales & Engagement: Personalise messaging and targeting in Outreach with behavioural signals.

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Early customers and partners are already seeing impactful results with Amplitude’s fully agentic AI analytics platform.

“Amplitude has helped NTT DOCOMO scale self-serve analytics to more than 1,000 active users and significantly reduce the time required to analyse campaign effectiveness,” said Takashi Suzuki, SVP and GM of the Data Platform Department at NTT DOCOMO. 

“With Amplitude AI Agents, our teams can streamline analysis directly from existing dashboards, helping us move faster while improving conversion rates and lowering cost per acquisition.”

“Increasing our users required more than just access to data. It required structure and automation,” said Matias Caratti, Product Shipping Supervisor, Mercado Libre.

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“Dashboards provided a single source of truth, and AI Agents enabled us to find data on our own. We didn’t have to rely on manual reports, and we were provided with automatic insights on funnel performance, countries with the best conversion, and fluctuations in contact rate.”

“Amplitude MCP and Skills bring user insights directly into the agent context in Cursor,” said Joshua Ma, Engineering Lead at Cursor. “This allows teams to quickly ship features, measure impact, and build smarter experiments for the next release.”

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