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BNY builds “AI for everyone, everywhere” with OpenAI
For AI workflow builders, this shows a growing enterprise demand for internal platforms that empower non-technical users to create agents, signaling opportunities to develop similar solutions with robust governance.
What happened
BNY Mellon has deployed an internal AI platform called Eliza, built on OpenAI’s technology, to enable enterprise-wide AI adoption. According to an OpenAI Blog post, over 20,000 BNY employees now use Eliza to create custom AI agents for tasks such as improving operational efficiency and client outcomes. This move represents a shift from isolated AI experiments to a democratized approach, where employees across roles can build and deploy agents without deep technical expertise. The initiative includes training and support to ensure broad adoption. For builders developing AI workflows, this case underscores the importance of designing platforms that are accessible to non-technical users while maintaining governance and security. It also highlights the trend of large financial institutions investing in internal AI ecosystems to compete on innovation and service quality.
Key takeaways
- BNY Mellon launched Eliza, an internal AI platform powered by OpenAI, to scale AI adoption across the enterprise.
- More than 20,000 employees can now build custom AI agents using Eliza for efficiency and client-facing tasks.
- The initiative aims to make AI accessible to all staff, not just technical teams.
- According to the OpenAI Blog, BNY provides training and support to drive usage and ensure responsible deployment.
Why it matters
For AI workflow builders, this shows a growing enterprise demand for internal platforms that empower non-technical users to create agents, signaling opportunities to develop similar solutions with robust governance.
This is an original editorial digest by AI Workflow Pro. Full reporting at the source:
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