Results From Live Engagements

Early results reported from an enterprise engagement where the approach is in production use — cutting engineering effort by up to 40% and delivering insights faster.

Across Design, Build & Testing

Measured against the same team's traditional, manual workflow

2–2.5×
Code generation & validation speed vs. manual
40–50%
Reduction in design iterations
60–70%
Documentation generation vs. manual effort
50–60%
Of traditional engineering time goes into mappings, transformations & pipelines — the steps the agents take over

How the Workflow Changes

The traditional workflow is linear, with several human-led steps performed iteratively. The accelerated path keeps humans on decisions and hands the heavy lifting to the agents

👤

Still Human-Led

Understanding requirements and data sources, finalizing KPIs against business rules, designing scalable data models, and operationalizing the pipeline stay with your team.

🤖

Taken Over by Agents

Defining transformations, writing SQL, and testing — the iterative middle of the workflow — are handled by the STTM Generation and Code Generation agents, with quality checks run natively.

📝

Documented Throughout

Code and business-rule documentation is generated through native capabilities at every step — not written up manually after the fact.

🤝

Human-in-the-loop at every step. Validation at each step keeps outputs valid, accurate, and aligned to enterprise standards — nothing advances without review.

See These Results on Your Data

Talk to us about what a run would look like on your engagement — with full per-stage cost reporting from day one.

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