It's 2026. Why aren't we all using analytics agents?
It is 2026. AI analytics agents can deliver incredible answers if you are willing to spend weeks configuring them. The real barrier is not intelligence. It is setup. We have been forcing AI to look like legacy BI, complete with manual modeling and OLAP style configuration. Introducing Patterns by Zenlytic. With one sync, Zoë learns from your Snowflake query history, including thousands of past questions, dashboards, and SQL queries, and gains a semantic understanding of your business. Zero setup. Answers in minutes.
The biggest barrier to AI analytics isn't the analytics. It's the setup.
It's 2026, and you can get great answers from data agents now. If you spoon-feed thousands of lines of context: metrics, schemas, descriptions, instructions. And maintain them by hand as your business evolves.
But vendors don't seem to realize this. Agents keep getting better and better. But for many teams, the real barrier is the setup process.
Why are data agents still so hard?
The problem is we've been trying to make AI look too much like the past.
The first trains looked like stagecoaches. The first TV shows were radio stars literally reading scripts into a camera.
And data agents are making the same mistake: this first version of AI analytics has the same configuration as a 20-year old OLAP cube.
But it doesn't have to be this way.
Introducing Patterns, by Zenlytic
Your organization has years (years!) of analytical knowledge locked in query logs. Thousands of questions already asked and answered. Every interaction with your warehouse adds to your query history: every BI dashboard refresh, every notebook, every SQL query.
With one sync, Zoë reads your Snowflake query history and the analytical fingerprint of your organization. Every day, Patterns parses, prioritizes, and indexes up to 100,000 queries per workspace, and uses gains a semantic understanding of your query history.
And suddenly, Zoë understands your data language: the intent behind the queries, what metrics matter, how they're calculated, where they're used. Every answer cites the historical queries that informed it, with full SQL, timestamps, and source metadata.
Zero setup.
Why we're excited
Our Patterns beta users have seen many benefits:
- time-to-value drops from weeks to minutes. No setup required.
- Zoë simply speaks your business language.
- And her answers stay consistent with your other data tools because she's learning how they use your data.
Now, today, we're proud to offer it in GA to all Zenlytic customers.
Interested in seeing a truly AI-native data agent? Contact us this morning, and Zoë will have learned your business by lunchtime.
