Bria Targets Enterprise AI ROI Gap With New White Paper on Custom AI Implementations

Bria has shared an update. The company has released a new white paper focused on the return on investment (ROI) of enterprise AI implementations, citing MIT research that suggests only 5% of custom-built enterprise AI solutions achieve high ROI, despite widespread use of general-purpose large language models (LLMs) like ChatGPT. The white paper addresses common gaps in AI implementation, reasons custom AI projects fail, key challenges for builders, and recommended approaches for deploying custom AI effectively. Bria also promotes access to the white paper and offers personalized product demonstrations.

For investors, this update signals Bria’s effort to position itself as a specialized provider of enterprise AI infrastructure and advisory capabilities, targeting organizations that struggle to translate AI initiatives into measurable financial returns. By framing the problem around low ROI rates for custom AI, Bria is aligning its offerings with a concrete business outcome rather than purely technical features, which could support pricing power and customer stickiness if their solutions effectively improve ROI. While the post itself does not disclose financial metrics, customer wins, or product launches, it indicates ongoing go-to-market activity and thought-leadership marketing aimed at enterprise decision-makers evaluating AI investments. If the company successfully converts this type of educational content and demo outreach into contracts, it could enhance revenue visibility and strengthen its competitive positioning within the enterprise AI and generative AI infrastructure segment.