Data Fastlane uses AI to automate the entire intake pipeline — from codebase research to PRD generation to card decomposition to code implementation. Your Analytics Engineering team stops waiting and starts shipping.
Analytics Engineering teams lose weeks every quarter to intake coordination. Same broken process. Over and over.
Simple, well-defined tickets sit for 4-6 weeks behind complex ones that need more research. Your fastest work is stuck in neutral.
BSAs spend days writing requirements by hand — codebase research, stakeholder questions, Confluence publishing. All manual. All slow.
Leadership wants AI in the workflow. Nobody knows where to start. Experiments are ad hoc, results are inconsistent, nothing sticks.
Runs in your existing stack. No new tools for your engineers. No access to your data warehouse.
When a ticket enters intake, our AI worker clones your repo, analyzes the relevant models and pipelines, and generates targeted clarifying questions for your BSA. No guesswork. No blank-page problem.
Your BSA answers the questions and approves the scope. AI generates a full PRD, publishes to Confluence, creates the Jira Epic with proper metadata. One-click approval.
Each Epic gets broken into classified Story cards — AI-eligible vs. needs-human — with complexity scores and dependency mapping. Your team reviews and moves to Sprint Ready.
For AI-eligible cards, our compute worker writes the dbt models, SQL, and tests — then opens a PR. Your existing CI runs dbt compile and dbt test. Two engineers review. Ship it.
Data Fastlane works entirely at the code layer — GitHub repos, Jira tickets, Confluence docs. You never share Snowflake, Redshift, or BigQuery credentials with us. Your data stays yours.
If this is your stack, we built this for you.
We're working with 3 design partners to implement Data Fastlane in their environment — free implementation in exchange for feedback and a case study. Book a 30-minute call to see if you're a fit.
BOOK A 30-MIN CALL →No pitch. No pressure. We want to understand your intake problem first.