Introducing Maxa Autopilot: The Agentic Way to Build and Maintain Data Pipelines

If you've ever built an ERP data pipeline from scratch, you know the drill.

It starts with a business workshop. Someone describes what they need: revenue by region, procurement cycle times, customer retention metrics.

That conversation gets distilled into a requirements document, which gets handed to an analytics engineer, who begins the real work of data discovery across hundreds of source tables, manually writing SQL to map fields to business logic, building and testing transformations line by line, the works.

For a single business activity (say, a purchase order) that's roughly 200 lines of SQL. A typical customer has dozens of activities. The data prep work adds up to around 20 hours a week of manual coding per project, and even a strong analytics engineer can realistically handle two customer deployments at a time.

This process is how data teams have operated for years, but it doesn't scale, and it certainly doesn't keep up with the pace at which AI is changing enterprise planning and reporting.

We built Maxa Autopilot because AI-readiness starts with data, and most organizations can't get there with the tools they have today.

What Maxa Autopilot does

Maxa Autopilot is an agentic platform that turns your business context, requirements, and source system data into production-ready dbt pipelines tailored to your specific rules, systems, and reporting needs.

The output is a complete dbt project: readable SQL, full lineage, test suites, and documentation. You deploy it in your own warehouse, on your own schedule, and you can read every line, modify it, and hand it off to your team. There's no proprietary runtime or lock-in.

How Maxa Autopilot works

Maxa Autopilot operates in three stages:

Business understanding

Start with business inputs: workshop transcripts, call recordings, dashboard screenshots, spreadsheets, and business requirements. Maxa Autopilot makes sense of all of it, extracting business entities, events, KPIs, rules, and exceptions.

Where information is missing or conflicting, it surfaces targeted follow-up questions rather than guessing. Five minutes of clarification now means no surprises when the pipeline runs, with agents asking you the right questions to fill the gaps you might not have realised existed. So now, you’re speaking the same language as the business team.

Data processing

Source data enters the processing stage. Maxa Autopilot discovers relevant tables from your sample data, stages and renames fields into business-friendly terms, and begins constructing the pipeline by:

• Binding entities to source tables
• Applying harmonization rules like deduplication and date filtering
• Computing the metrics your team defined in the first stage.

Every transformation is traceable back to a specific business requirement.

Output and validation

The pipeline is validated against real business numbers agents have extracted from your inputs, such as revenue figures from a P&L, customer counts from a stakeholder call, or metric definitions from an existing report. If the numbers don't match, Maxa Autopilot iterates. If it can't resolve a discrepancy, it tells you exactly what's off and asks the right question to close the gap.

The result is a production-grade dbt project that codifies your business logic, harmonizes data across systems, and ships with tests baked in from day one.

What this means in practice

A data pipeline that used to take months now takes hours.

Analytics engineers shift from writing SQL to supervising and steering. Delivery becomes consistent across projects, with no more variation based on who happened to build the pipeline.

Because the output is standard dbt, it integrates with the tools you already use: Snowflake, Databricks, Microsoft Fabric (with more clouds coming), and your BI layer of choice.

We’re very clear that we’re not in the business of replacing data engineers. With Maxa Autopilot, our mission is to remove the mechanical work so your team can focus on judgment, iteration, and the business problems that truly require human expertise.

Come see it at Snowflake Summit ‘26

Our team is at Snowflake Summit next week, June 1-4 in San Francisco. We'd love to walk you through Maxa Autopilot in person and show you what a dbt pipeline built in hours looks like.

Meet with us at Summit. Hope to see you there!