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Ask in plain English — "how's Q2 by product and compared to last year?" — and get the answer with chart, source and auditable SQL. Knows your schema, canonical metrics and history. Every Monday at 8 AM it drops the exec brief in your inbox with highlights and open questions.
<30s
Answer to any question
80%
Questions without bugging BI
100%
SQL visible and auditable
-70%
Time to a new dashboard
Governance included: row-level security, role-based access, auditable query logs. The agent doesn't invent metrics — it picks from what's modeled.
Plain question, exact answer
"Which products grew >20% in Iberia this quarter and which segments drove growth?" — the agent knows your schema, writes correct SQL over your semantic layer, runs it and returns result + chart + visible SQL. Copy the query if you want to keep it.
From prompt to widget, in minutes
Ask for the dashboard in words: "Sales by channel, YoY comparison, region breakdown". The agent builds it in Looker, Metabase or Superset and leaves it saved for the whole team — with suggested filters and alerts when something drifts.
It pings you before you ask
Monitors your critical KPIs 24/7 and pings Slack when something moves — with the likely diagnosis already written. Stop discovering problems in Wednesday's meeting: you see them on your phone at 9 AM Monday.
Generated, not assembled
Every Monday at 8 AM, your committee gets an exec brief: highlights, relevant moves, anomalies detected, open questions. In your corporate template, with your distribution. The analyst stops copying numbers into PowerPoint.
No warehouse or BI migration. We work where the data lives.
Data warehouse
Databases
Transformation
BI
Exploration
Distribution
Semantic layer
Orchestration
RAG over docs
80%
Questions answered without BI
20 s
From CEO question to chart
5 h
Weekly saving on exec brief
“We were firefighting 20 ad-hoc queries a week. Now the agent answers leadership in 20 seconds and the data team finally models. The CEO stopped asking "when will I get the data" — he asks "what do we do with it".”— Head of Data · B2B SaaS
Free assessment first. Fixed scope before we start.
First agent · 4-6 weeks
Fixed project
Agreed scope · 4-6 weeks
One agent on one channel with 3-5 tools and basic governance. Fast proof of value.
Full system · 8-12 weeks
Project + retainer
Fixed scope · continuous operation
System with persistent memory, multi-channel, full observability and auditable governance.
Monthly operation available as retainer · VAT not included
With a semantic layer: canonical metrics and allowed joins defined as code. The agent doesn’t invent — it picks from what’s modeled. If the question doesn’t fit, it says so and proposes a rephrase.
Default: the agent sends only schema and question, not data. For sensitive environments, we deploy with local models (Llama, Qwen) on-prem or private VPC — data never leaves your network.
Row-level and column-level security inherited from the warehouse. The agent queries with the asker’s credentials, respects existing permissions, and logs every query.
Helps a lot but not required. Pilot can run on your current schema if names are reasonable; production we recommend a semantic layer for quality and governance.
No. The agent answers, explains and proposes — the action (launch campaign, change price) stays with a human. We can wire actions where it makes sense, always with explicit approval per policy.
60 minutes with an engineer with real BigQuery/Snowflake/dbt experience. We map the 3 KPIs that move your business most and evaluate real fit on your data stack.