Agents

This approach turns AI from a code generator into a more reliable development partner—one that builds what you actually need.

Consumer industries lead 119% surge in AI agents as retail, travel see 128-133% monthly growth in automation—changing competitive landscape for product teams

Over 90% of travelers trust AI-generated travel information, but almost none want the AI to act on that information independently.

AI agents fail in production not because of bad architecture, but because we test them like traditional software. Complex 30-step workflows can't be tested—they must be reviewed like human work. This shift changes everything for legal and product teams.

IBM's framework begins with a reversibility assessment that determines which of three automation tiers applies to a given task.

The work proposes a five-layer architectural framework that embeds governance and security requirements throughout system design rather than treating them as separate concerns.

A new approach is needed, one that thinks in terms of dynamic spectrums rather than static boxes.

Companies invest heavily in AI tools they don't understand, creating procurement and implementation challenges for product and legal teams managing vendor relationships and technology integration.