Data Pipelines & AI-Ready Reporting
Most teams burn 4 days every month exporting CSVs and reconciling reports. That's nine days a year, gone. Connect your data once, build the model once, and reports update themselves. Plus: AI agents that answer ad-hoc business questions in plain English — without a custom dashboard for every question.
What I do
• Pull data from across your stack — CRM, ad platforms, analytics, product, billing, support
• Land it somewhere clean: BigQuery, Postgres, Snowflake — your call, owned by you
• Build the dashboards on top: Looker Studio, Metabase, or whatever fits
• Wire AI agents that answer questions over your data in plain English
• Set up anomaly alerts so problems surface in hours, not at month-end
Who it's for
Enterprises with data in 12 different tools and reports nobody trusts. Local businesses doing month-end in spreadsheets. Any team that wants AI to answer "how are we doing?" without a custom dashboard build for every question.
Typical outcomes
• A single trusted data source instead of conflicting reports
• Monthly reporting goes from days to minutes of human review
• AI agents that answer ad-hoc business questions over your real data
• Anomalies surfaced via alerts before they become problems
Want to talk Data Pipelines & AI-Ready Reporting?
Quick scope call, no commitment. Worst case you leave with a clearer view of what to do next, with or without me.