Genesis Prover

AI Agents Speed Up
Your Migration.
Makes It Right.

Genesis Prover is the evaluator that checks your AI-built migration against your business rules and gives coding agents the fixes needed to get it ready for your team’s approval.

The shift

Can AI Really Migrate
Your Data Warehouse?

Yes — but asking an agent to migrate it once and calling it done can leave you with a system full of problems.

Prover finds what’s wrong, gives the coding agent a punch list, and checks the fixes. The agent keeps working; Prover keeps evaluating. That’s how you turn an AI-generated migration into one you can trust.

The agent buildsProver checksRepeat until the agreed checks passYour team approves
Checks the sourceChecks the result CheckFix ProverChecks. Investigates.Guides fixes. Coding agentBuilds and fixes Legacy data systems legacy SQLstored proceduresETL pipelinesreporting logic Databricks or Snowflake DatabricksSnowflake
How the work gets done

From Legacy Logic
to a Verified Migration

01

Generates the Spec You Never Had

Prover’s Spec Agent uncovers legacy business rules and builds a detailed specification of what the migration must preserve. It checks that specification against the source system before migration begins.

02

Gives Coding Agents a Clear Fix List

Prover investigates discrepancies, explains why they occurred, and gives coding agents specific issues to correct. After changes, it checks again. Missing or incorrect rules are corrected in the specification, too.

03

Verifies the Outcome

Prover checks the result against agreed evaluations and records what was tested, what passed, and which differences remain. Your team reviews unresolved decisions and approves the result, with a clear record of the scope and accepted exceptions.

From finding to fix

Every Issue Needs
an Answer

A fix in the code. A missing rule restored. A business decision made by your team. Prover helps work through the list, then checks the updated migration again.

Problem foundResolution
prverprver Revenue counted twiceCustomers missing from reportsRefunds counted as salesDeleted records reappearedPricing rule missing from the specificationMonth-end cutoff was ambiguousDifferent number formats, same valueDifferent time zones, same eventA fix in the codefound it · agent fixed it4 problemsA missing rule restoredSpec Agent updated the spec1 problemA business decisionflagged it · your team chose1 problemAn expected differenceverified the difference2 problems
What Prover catches

The Dashboard Looks Right. The Numbers Could Be Wrong.

A migration can run without errors and still change the answers your business relies on.

Revenue

Sales Went Up. Nothing New Was Sold.

Some orders are counted twice. Prover traces the extra sales to the duplicates so the agent can fix them.

Customers

Some of Your Customers Disappeared.

Customers without an account manager vanish from reports. Prover shows who is missing and why.

Pricing

A Discount Rule Got Left Behind.

An undocumented loyalty discount didn’t make it across. Prover uncovers the rule and checks it’s applied.

Historical reporting

Last Year’s Regional Sales Changed.

A customer’s past sales moved with them to a new region. Prover flags it so your team decides how history is reported.

FAQ

How Prover Fits
Your Migration

The coding agent writes the migration. Prover checks its work, investigates problems, and gives it the details needed to fix them. They repeat that cycle as the migration improves.
Most legacy systems contain rules that were never fully documented. The Spec Agent helps reconstruct and validate those rules. Where the migration preserves behavior directly, source outputs also provide a reference.
Genesis supports migrations across modern data platforms, including Snowflake and Databricks, covering legacy databases, business logic, stored procedures, ETL pipelines, and reporting workflows. Talk to us about your source systems, target platform, and migration scope.
When the agreed checks pass and your team has approved the remaining decisions. You can see what was tested, what changed, and any exceptions you accepted before deciding to go live.
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