『What Does an AI Agent Buy? | Andrew Bird, Head of AI at Affinda』のカバーアート

What Does an AI Agent Buy? | Andrew Bird, Head of AI at Affinda

What Does an AI Agent Buy? | Andrew Bird, Head of AI at Affinda

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What happens when software becomes the customer?

For decades, products have been designed, marketed, and sold to humans. But as AI agents become increasingly capable of researching, evaluating, and making decisions on our behalf, a new question emerges:

What does an AI agent actually buy?

In this episode of Agents After Dark, Matt Doughty sits down with Andrew Bird, Head of AI at Affinda, to explore how AI is changing the way products are discovered, evaluated, and purchased.

Together they discuss:

  • What happens when agents become decision-makers rather than assistants
  • How software discovery changes in an agent-driven world
  • Why traditional go-to-market motions may need to evolve
  • How trust, reputation, and verification influence agent decisions
  • The future of procurement in a world of autonomous systems
  • What founders and product teams should be building for as AI adoption accelerates

As agents move from copilots to autonomous actors, the way products are bought, sold, and evaluated may fundamentally change. This conversation explores what that future could look like and what it means for businesses today.

About Andrew

Andrew Bird is Head of AI at Affinda, where he helps organisations apply AI to automate and extract value from complex, unstructured information.

Having worked at the forefront of AI adoption through multiple technology waves, Andrew brings a practical perspective on how agents, automation, and AI-driven decision making are changing the way software is built, evaluated, and purchased.

About Prefactor

Prefactor helps enterprises trust AI in production.

As organisations deploy more AI agents, maintaining visibility into performance, risk, and operational quality becomes increasingly difficult.

Prefactor gives engineering, product, and security teams a single platform to monitor AI systems, evaluate outcomes, identify risks, and take action when things go wrong.

Learn more at prefactor.ai

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