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

In the first episode of Agents After Dark, Matt Doughty sits down with Lachlan Teale, AI Solutions Specialist at an Australian sovereign wealth fund, to discuss what AI adoption actually looks like inside a highly regulated environment.

While much of the AI conversation focuses on demos, pilots and hype, this discussion explores what happens when organisations need to balance innovation with governance, security, risk management and operational reality.

Topics covered:

• Why most AI projects never make it beyond the pilot phase

• Building an AI framework before deploying agents
• Aligning Security, Risk and Legal teams
• The use cases making it into production today
• Why some AI applications remain off limits
• Common mistakes organisations make when adopting AI
• What enterprise AI adoption may look like over the next few years

If you're responsible for AI, security, engineering or transformation initiatives, this episode provides a practical look at how leading organisations are approaching AI deployment at scale.

About Lachlan

Lachlan Teale is an AI Solutions Specialist at an Australian sovereign wealth fund. His work focuses on helping one of Australia's largest institutional investors evaluate, implement, and scale AI capabilities responsibly across the organisation.

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