Take your LLM prototype to a production application.
A productized engagement that turns a working prototype into an application your customers can rely on — streaming, tool use, agents, evals, and observability, plus the cost and governance discipline to run it. The Application Delivery and Optimization pillars of AI Enablement.
The notebook works; the application doesn't exist yet. Between them is the engineering: streaming responses, tool use and agent patterns that survive concurrency, evals that gate releases, observability that catches drift, and the cost and guardrail discipline that keeps it affordable and compliant. We build that, on AWS, and hand you something you can run.
What You'll Receive
Application engineering
Streaming, tool use, and agent patterns wired into a real application — Bedrock integration behind guardrails and prompt logging, with fallbacks and retries that hold under load.
Evals & observability
Evaluation suites that gate every deploy, and quality, latency, cost, and drift signals wired into CloudWatch and your on-call — so a regression is found before a customer finds it.
Cost & governance
Model routing, caching, guardrails tuning, and audit posture — the Optimization & Governance discipline that keeps the application affordable and compliant once it's live.
How It Works
Scope
We assess the prototype against production reality — quality bar, guardrails, cost ceilings, failure modes — and agree the scope to close the gap.
We build
Application engineering, evals, observability, and cost and governance controls on AWS, shipped behind feature flags so rollout is measured and reversible.
Operate or handover
The application runs in production with the discipline to keep it there — handed to your team, or run by ours through Managed Operations.
Is This For You?
This engagement is a good fit if you:
- Have an LLM prototype that works but hasn't shipped
- Need agents or tool use that survive production load
- Want evals gating releases, not manual spot-checks
- Need cost and guardrail discipline before going live
- Are based in the United States
AWS Partner
Engineering team
Production experience
You own the application
Ship the application, not the prototype.
Tell us where your prototype is today. We'll scope the path to production and come back with a plan — with us or not.
Scope Your ModernizationFixed scope. Senior engineers. A plan before you commit.