VP, Regulatory & Quality, Orthogonal
Megan Graham
AI can help developers write code faster, but the greater opportunity for MedTech is connecting product intent to clear requirements, working software, and reliable testing to achieve 2-3x gains across the entire product development lifecycle.
Behavior-Driven Development (BDD) provides a practical structure for agentic workflows. Using testable acceptance criteria written in Gherkin, teams can define expected software behavior in a format that product, engineering, quality, and regulatory stakeholders can understand and review.
Join Orthogonal for an illustrative example of how an AI agent can help produce acceptance criteria, build software from them, and test whether the resulting behavior matches the original intent. We will also examine where product knowledge, risk decisions, validation, and human judgment must remain in control.
If your organization is considering how agentic AI could fit into its MedTech software development process, this session offers a concrete starting point for connecting human decisions to AI-supported requirements, development, and testing.
VP, Regulatory & Quality, Orthogonal
Megan Graham
CTO, Orthogonal
Larkin Lowrey
CEO & Founder, Orthogonal
Bernhard Kappe
Chief Solutions Officer, Orthogonal
Randy Horton
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