AI is helping teams deliver more work faster — from resolving customer conversations to generating production-ready code. But as we enter the next phase of AI maturity, speed alone is not enough. Expectations for quality are rising, meaning that it’s about delivering speed and trusted, high-quality output.

Join Fin and Linear for a candid conversation on how teams are building quality, visibility, and oversight directly into their AI products.

Fin is launching new features that enable always-on, AI-powered QA for real customer conversations — combining AI scoring with human review to ensure support stays accurate, compliant, and on-brand.

As the product development system for teams and agents, Linear treats oversight as a first-class feature so teams always have a clear view of what agents are doing, and the controls to course-correct them when needed.
Both teams are addressing a shared challenge: when AI is generating real output in production, quality doesn’t happen by accident — it requires guardrails, visibility, and a deliberate system to ensure it.

We’ll explore what it takes to raise the bar for AI-powered experiences and outputs — without slowing down innovation.

What you’ll learn

How AI maturity is shifting from “move fast” to “move fast and maintain quality”
What “trust” actually means in production AI systems
How to maintain high-quality customer and product experiences as AI output scales
How to design hybrid QA systems (AI + human review) that scale

Speakers

Brian Donohue, VP Product at Fin
Matthijs Wolting, Engineering at Linear

Who should attend

CS leaders, product leaders, builders, designers and engineers interested in improving AI quality

Fin x Linear: Delivering High-Quality AI Experiences