The Frontier of Enterprise AI in Production
Join Credal for an panel with the engineering leaders building at the frontier of enterprise AI in production on September 9th at the OpenAI office in NYC.
What does a company look like when AI stops being an experiment and starts changing how the company itself operates? What breaks when AI usage goes from a handful of experiments to thousands of agents and workflows? What infrastructure do you end up building yourself? How do you evaluate systems whose behavior isn't deterministic? How do cost, security, permissions, and observability change? And what are these teams building today that the rest of the enterprise will need tomorrow?
Credal is bringing together three of the leaders behind this work for an intimate panel conversation:
Veeral Patel, Head of Applied AI at Ramp
Veeral is a founder Ramp engineer who now leads Core Product and Applied AI team at Ramp. Veeral has been one of the voices behind Ramp's increasingly public approach to AI infrastructure, co-authoring its deep dive into building a unified pipeline for AI token spend, writing about the “Token Casino” and the economics of AI inside the enterprise, and most recently helping bring Ramp Router from internal infrastructure into a product of its own. His work sits at a question almost every company adopting AI will eventually face: when AI usage explodes, how do you know which of it is actually creating value?
Allison Candido, CTO at Flatiron Health
Allison is an early Flatiron engineer who joined the company in 2014 and now leads its engineering organization as CTO. Allison is overseeing Flatiron's shift towards AI-powered, agentic workflows capable of operating across millions of patient record, allowing researchers to ask questions about rare mutations, therapies, and treatment patterns that previously couldn't be answered from smaller sampled cohorts.
Allison is navigating what it takes to deploy AI into one of the hardest environments of all: healthcare, where models have to operate against complex clinical data and workflows with an extraordinarily high bar for accuracy, security, and trust.
Diamond Bishop, Director of Engineering & AI at Datadog
At Datadog, Diamond has been working on what he calls the agent-native office: a future where agents aren't just features inside software, but users, teammates, and operators in their own right. He's now helping build toward that future through Datadog's AI agents, MCP infrastructure, and Dispatch Agents, an experimental project designed to make fleets of autonomous agents practical to run in production. Diamond is a long-time builder whose career spans the early days of Alexa and Cortana, PyTorch at Meta, and founding Augmend, an AI startup acquired by Datadog.
Moderated by Ravin Thambapillai, Co-founder & CEO of Credal
Before founding Credal, Ravin spent seven years at Palantir building AI- and data-powered systems inside some of the world's most complex institutions, spanning global financial institutions, life sciences organizations, and the public sector. During COVID-19, he worked with the U.S. Department of Health and Human Services on the federal pandemic response, using AI with sensitive hospital data from across the country to make more informed healthcare decisions, quicker. Today, he's building Credal around a related challenge: how to give increasingly powerful AI systems access to the data and tools they need while keeping them secure, governed, and trustworthy.
Rather than debating whether AI agents are coming, we'll talk about what the teams already operating at the frontier are learning.
Expect a deeply technical, candid conversation about what they've built, what they've gotten wrong, and where they think the AI stack is going next.
Hosted by Credal at the OpenAI office, followed by audience Q&A and drinks with fellow engineering and AI leaders.
Agenda
6:00PM: Doors Open + Networking
Light bites, drinks and conversation with fellow engineering, AI, and technology leaders.
6:30PM–7:15PM: Panel Discussion
7:15–7:30PM: Audience Q&A
7:30–9:00 PM: Networking
About Credal
Credal.ai is the infrastructure layer for deploying and governing AI agents and MCP servers across the enterprise. Companies including Wise, Checkr, Comcast, and Flatiron Health use Credal to connect AI securely to their internal systems while maintaining permissions, auditability, and centralized governance.