Overview
AI Production Accelerator is a custom engagement for organizations that have already validated a GenAI or agentic AI use case and now need to turn that proof of concept into a secure, scalable, measurable, and maintainable production capability on AWS.
Leapfrog identifies and closes the common gaps between demo success and production readiness across product features, platform engineering, security and compliance, AI safeguards, observability, governance, and team operating model. Typical work includes production feature completion, architecture hardening for reliability and scale, implementation of evaluation gates and guardrails, IAM and secrets management, auditability and logging, monitoring and cost controls, incident playbooks, and release processes that support safe iteration over time.
Deliverables include a production readiness plan, implementation of priority gaps, and an operating model for ongoing improvement tied to business KPIs. Depending on customer needs, this can include release engineering, human-in-the-loop and approval workflows, role definition, model and prompt management, compliance support, and managed service options after launch.
Who it’s for: SMBs, healthcare organizations, startups, and enterprises that already have a GenAI or agentic AI prototype or POC and need to harden it for production on AWS.
Why Leapfrog: Leapfrog is an AWS Advanced Tier and AI Competency partner that combines AWS AI delivery experience with practical product engineering depth across startups, SaaS, SMB, and regulated environments. We help teams move from promising POCs to production systems that ship quickly, operate safely, and keep improving after launch.
Highlights
- Fast path from POC to production. Close the common last-mile gaps in reliability, security, evaluations, scalability, and operational readiness.
- Production security, compliance, and governance built in. Implement least-privilege IAM, auditability, data governance, secrets management, secure SDLC practices, and controls aligned to enterprise expectations.
- AI safeguards and observability as first-class systems. Establish evaluation harnesses, guardrails, human review and approval flows, tracing, quality metrics, cost controls, and incident response processes for continuous improvement.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
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