Speed used to be the advantage. Now it’s the risk.

In today’s world, companies are under pressure to innovate faster than ever—launching new technologies, products, and AI-driven solutions at breakneck pace. But as recent failures have shown, speed without trust doesn’t scale. It breaks—often publicly, and often permanently.

In Trustworthy Innovation, former IBM Chief Information Officer and Yale professor Kathryn Guarini offers a practical, field-tested framework for building technology and products that people can rely on—before something goes wrong.

Drawing on more than two decades at the highest levels of technology leadership, Guarini shows why trust is no longer a “soft” concept or ethical afterthought—it is a hard business requirement. When trust fails, the consequences cascade: customers leave, regulators intervene, reputations collapse, and entire companies lose momentum overnight.

Through a series of high-profile case studies—from the Theranos scandal to global system outages and AI failures—Guarini reveals a consistent pattern: trust isn’t lost in a single moment. It erodes through decisions made early in the design and development process, long before launch.

The solution is not to slow down innovation—but to build it differently.

At the center of the book is the TRUST Framework, a clear, actionable method for designing systems that are:

• Tried-and-True (reliable under real-world conditions)
• Reinforced (secure against evolving threats)
• User-Centered (designed for real people, not assumptions)
• Sustainable (built for long-term impact)
• Transparent (open, explainable, and accountable)

This is not theory. It’s a playbook.

Readers will learn how leading organizations embed trust into their products from day one, how to identify hidden risks before they escalate, and how to make better decisions under pressure—whether launching a startup, scaling a product, or leading a global enterprise.

For leaders navigating AI, digital transformation, and increasing regulatory scrutiny, Trusted Innovation provides a clear answer to a critical question:

How do you move fast—without breaking what matters most?