# Oogway Labs approach

The engagement model has three phases: Audit, Quick wins, and Production.

- Audit: 1-2 weeks to identify high-ROI bets and define a board-defensible roadmap.
- Quick wins: 4-6 weeks to ship the highest-leverage bet to production for real users.
- Production: ongoing evals, cost discipline, governance, and reliability work.

## Frequently asked questions

### What is an AI readiness audit, and what do I get out of it?

A 1 to 2 week diagnostic that asks where AI will actually move your numbers. We interview your operators, audit your data, and look at workflows, infrastructure, team capability, and governance. You leave with a short list of bets ranked by ROI and effort, plus the first one scoped enough to start building. The output is a roadmap you can defend to leadership.

### How long does it take to ship a production AI system?

4 to 6 weeks to the first production milestone is typical for a quick-win scope. Larger scopes are estimated after the audit. Production means real users, not demo users. The cadence is weekly working software, with a hard line between v1 and what waits. By the end you have proof, not a deck about proof.

### What happens after the first production milestone?

You move into the production phase: evals, governance, cost controls, and reliability tuning for your actual load. Some teams keep us on a monthly retainer. Others fund a scoped hardening sprint and then take operations in-house. Source code, infrastructure-as-code, and deployment pipelines live in your accounts and repos throughout, so handoff is a normal day, not a cliff.

### Do I have to start with the audit, or can we skip ahead?

You can start at any phase. If you already know what to build, the quick-win phase is often the right entry. If your pilot already shipped and the production work is what is missing, the production phase is the entry. The audit exists for teams who do not yet know where to point AI.

### Who does the actual building once we engage?

The same engineers who scope the work do the building. There is no senior-to-junior handoff between the discovery call and delivery, and no SDR funnel between you and the people writing the code. Founder Soumyo Dey is in the codebase. The team you talk to first is the team that ships.

### What if AI turns out not to be the right answer?

We tell you on the call, before any contract is signed. Sometimes the audit concludes that a heuristic, a SQL query, or a forms cleanup will beat an LLM for the workflow you are looking at. Saying so upfront protects your budget and our reputation. Problem first, tool second is not a slogan.

- [Pricing and engagement model](https://oogwaylabs.com/pricing.md)
- [Contact](https://oogwaylabs.com/contact/)