OpenAI and Slalom Partner to Enhance AI Solutions for Enterprises

Aug 5, 2025
OpenAI and Slalom have announced a partnership to integrate AI models with Slalom's delivery expertise, aiming to help enterprises deploy AI solutions effectively.

OpenAI and Slalom have announced a strategic partnership to deliver advanced AI solutions to enterprise customers, announced in a press release. This collaboration aims to combine OpenAI's AI models and products with Slalom's expertise in delivery to facilitate the deployment of AI solutions across various organizations.

The partnership introduces a range of modular offerings designed to cater to different stages of an organization's AI journey. These include the ChatGPT Enterprise Enablement program, which focuses on secure deployment of ChatGPT Enterprise, and the AI Solution Studio, which helps integrate OpenAI's APIs into proprietary workflows. Additionally, Slalom offers role-based support and co-creation services for scaling AI solutions.

Both companies have already begun assisting organizations in leveraging AI technologies. For instance, they have worked with Madrigal, a global biopharmaceutical company, to integrate AI tools that have transformed its business operations. This partnership underscores the commitment of both OpenAI and Slalom to empower enterprises with AI capabilities that drive efficiency and productivity.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.