Ideas2IT, a Dallas-headquartered AI-native software engineering firm, has been recognized by Amazon Web Services (AWS) with the Generative AI Services Competency, validating the company as one of the world’s leading partners capable of operationalizing Generative AI at enterprise scale.

This recognition comes at a time when most enterprises are struggling to move beyond pilots and proofs of concept. AWS’s rigorous evaluation process, including technical audits, architecture reviews, and live assessments, confirmed that Ideas2IT has the engineering depth, governance frameworks, and delivery record required to help large organizations deploy AI safely, securely, and with measurable outcomes.

“Enterprises have invested heavily in AI experiments but very few have crossed the chasm to production at scale,” said Murali Vivekanandan, Founder & Chairman of Ideas2IT. “This competency is more than a milestone; it’s validation that our frameworks, accelerators, and people are equipped to help CIOs and boards adopt AI responsibly and realize real business value.”

Ideas2IT’s approach is rooted in making AI practical, repeatable, and enterprise-ready. The company has:

• Deployed production-grade AI systems in regulated industries, where compliance and parity are non-negotiable.
• Trained over 500 engineers and QA professionals to embed AI fluency across delivery teams.
• Built proprietary accelerators for software testing, legacy modernization, and workflow optimization, allowing enterprises to adopt AI faster without compromising governance.

Clients share their confidence as well. “Thanks to Ideas2IT & AWS, our data retrieval time reduced significantly from 15 minutes to just 30 seconds, all while keeping costs lower. Their dedicated solutions architect ensured our success, making the entire experience fantastic," said Shruthi Sreenivasa Murthy, Asst. Director of Research Computing at St. Louis University.

For CIOs, this competency signals that Ideas2IT is more than an implementation partner. It’s a strategic ally for building secure, future-ready AI systems, spanning application modernization, cloud transformation, and Generative AI adoption, that can withstand board-level scrutiny and deliver long-term business impact.