Your governance can’t keep pace with AI, and how to fix the design

Drawing on the Thoughtworks Global CIO Survey 2026 (3,200 CIOs across 10 countries) and research from DORA and Team Topologies.

Governance is often an after thought. Delivery teams develop features and products, then they have to pass through a gate at the end of the work, owned by a GRC (governance, risk and compliance) team who sit too far from the work. The handoff alone is an issue, but governance boards often have their own cadence separate to the delivery teams. This was about managable when software shipped a few times a year. Now, at AI speed it’s the slowing down value flow, and 88% of CIOs now say AI adoption is happening faster than governance structures can adapt.

This white paper makes the case for a different design. Move the control into the flow. Make the compliant path the easiest path. Keep the controls that are specific to you, and use the mature market for the rest. Governance stops being the tax you pay for speed and becomes part of how you move fast without breaking what matters.

Written for founders, C-suite and transformation leaders who are scaling AI and understand that workforce design and operating models need to change to keep value flowing to your customers.

What’s inside:

• Why change advisory boards make delivery slower and more fragile, not safer (2.6x the low-performer risk)

• The paved-road model: governance as a property of how the organisation is built, not a siloed department

• A simple test for what to build in-house and what to buy

• How distributed AI decision-making is reshaping accountability, and what to do about it

Read the full white paper for the complete argument.