Watch the Product
Ask business questions. Get trusted answers.
Analytics Agent sits on top of the trust layer. Users ask in plain language; every answer is grounded in governed business logic — not a black-box guess from raw tables.
Recorded from the live product. Analytics Agent — conversational access, governed answers.
Natural access
Users ask questions the way they think about the business.
Trusted grounding
Answers are generated on top of context the organization already defined.
Business-ready output
Responses are designed to support decisions, not just surface data points.
Why Generic AI Question-Answering Breaks
Asking in plain language is easy. Trusting the answer is hard.
Generic AI analytics tools can make it look simple to ask a question in natural language. The challenge begins when the question depends on business definitions, local context, exceptions, and logic spread across systems and teams. Without a trusted layer underneath, conversational analytics becomes fast but unreliable.
What Analytics Agent Does
Turn trusted context into usable answers.
Analytics Agent sits on top of the trust layer built by your analysts and data teams. It helps business users, operators, and decision-makers ask questions naturally while ensuring that answers stay grounded in governed business logic rather than ad hoc guesswork.
Traceability and Trust
Answers should be usable because they are explainable.
Analytics Agent is designed so that answers do not feel like unexplained AI output. The business should be able to trust that the response is grounded in governed context, and data teams should be able to understand where that answer came from.
How It Fits the Organization
One access layer for the people who need answers.
Analytics Agent helps reduce the load on analytics teams without cutting them out. Business users get faster access to answers. Analysts keep ownership of the trust layer underneath.
Built for Real Operating Questions