Your First AI Feature, Live This Quarter
Production AI Feature in 6 Weeks. Not a Prototype.
The board wants AI on the roadmap and the deadline is real. Your team's demo from six months ago never shipped. We take one scoped feature from architecture to production in six weeks, with metering, guardrails, and infrastructure handled by the same people. One vendor, one invoice.
What Ships
Scoping Sprint
One week. Define the feature, architect the solution, estimate infrastructure costs, plan the 4–6 week build timeline. You get an architecture document and a clear statement of what ships and what gets deferred.
AI Feature Build
AI search, support automation, document analysis, or conversational product discovery — one scoped feature shipped to production. Includes the AI layer, cloud infrastructure, and integration with your existing product.
Metering & Billing Integration
Billing infrastructure built in from day one — not retrofitted later. The feature ships already wired to metering so you can charge for it.
Security Guardrails
Input validation, output filtering, rate limiting, audit logging — the minimum viable security layer that won't embarrass you in an enterprise security review.
The Approach
Built from experience shipping AI with a deadline and real users. The 6-week constraint forces hard prioritization — and clarity on what you can safely defer. The scope is fixed. The timeline is fixed. What's flexible is which feature ships — and you'll get an honest assessment of what's achievable in 6 weeks and what isn't.
How to Start
Free 30-min Call
A walkthrough of a complete AI system shipped from architecture to production — the full stack, not just the AI layer.
Scoping Sprint ($5K, 1 week)
Feature architecture, infrastructure plan, cost estimate (infrastructure + ongoing inference), and a realistic 4–6 week build timeline.
Build Sprint ($20K–$40K, 4–6 weeks)
One production AI feature shipped, deployed, documented, and handed off. Includes metering integration and security guardrails.
“Plavaga has been our technology backbone since inception. From cloud architecture to AI-powered diagnostics, they brought the technical depth that a health-tech company needs but can rarely find in one team.”
Gayathri Choda
Founder, Aarca Research
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Ready to Talk AI?
30 minutes with a senior engineer. Honest take on your situation. No sales pitch.