Automat-it offers startups 40 free hours of senior AI engineering on AWS

Automat-it launched a campaign to help startups turn AI plans into deployed software by giving eligible teams 40 free hours with a senior AI engineer. The work is built directly in the customer’s AWS environment, which the company says helps teams move past pilot projects and preserve in-house engineering capacity.

Why it matters: - Startups are under pressure to ship AI features, but many engineering teams are already maxed out on core product work. - The offer is aimed at moving AI projects out of the pilot stage and into production faster. - Building directly in a startup’s AWS environment means the resulting software stays with the startup from day one.

What happened: - Automat-it, an AWS Premier Partner, Managed Services Provider and holder of the AWS AI Services Competency, launched a new campaign for startups on July 16, 2026. - The campaign gives eligible startups 40 free hours of hands-on work from a senior AI engineer. - The engineer will help scope and build one fully defined AI capability inside the customer’s AWS environment. - The initiative is open to startups with a minimum monthly AWS spend of $20,000, excluding Marketplace.

The details: - The offer is designed to replace open-ended consulting workshops with deployed software. - Automat-it says the goal is to reduce the bottleneck created by full engineering backlogs and endless experimentation. - The campaign includes a set of AI use cases that startups can choose from. - Claude Code on Bedrock is intended to help build secure AI applications with guardrails and developer tooling. - Foundation Model Fine-Tuning with SageMaker lets teams customize models using their own data. - RAG and AI Knowledge Bases are designed to create assistants that answer questions from company documentation and internal knowledge. - Prompt and Context Optimization aims to improve accuracy, consistency and quality in GenAI applications. - NLP-to-SQL is meant to let users query databases in natural language. - Voice-to-Text Pipelines convert meetings, calls and audio into searchable transcripts and actionable insights.

Between the lines: - The campaign is as much about execution as it is about AI strategy. - Automat-it is positioning its engineers as a way to add capacity without pulling a startup’s internal team off product roadmaps. - CEO Ziv Kashtan said founders often want to ship AI but are blocked by full backlogs, and that the company’s role is to build the capability so teams can stay focused on the core product. - By deploying code directly in the customer’s AWS environment, the startup keeps ownership of the software and the company can emphasize security, reliability and enterprise-grade performance.

What's next: - Eligible startups can claim the 40 free hours and use the engagement to build one AI capability in production. - Automat-it is directing teams to move from experimentation to shipping AI faster. - The campaign could become a template for how AWS partners help startups operationalize AI without adding to engineering strain.