Resources
Use these resources to start mapping AI use, accountability, risk and reporting discipline.
Starter pack
A practical first step for boards, risk committees, audit committees and ExCo teams.
Request Starter PackArticles and explainers
How boards build visibility over material AI use, assign accountable owners and establish an evidence-led reporting cadence.
If unmanaged: shadow use can expose sensitive data, accountability can remain unclear, and directors may learn about material incidents only after customer, regulator or reputational impact.
How to identify informal AI activity, select workflows worth redesigning and move useful experimentation into governed enterprise capability.
If unmanaged: fragmented tools create inconsistent outputs, data leakage, duplicated spend and no dependable evidence of return.
A practical examination of the Automation Trap, Compliance Theatre and failure to change the operating model.
If unmanaged: organisations can spend heavily without changing outcomes, create policies nobody can operate and accumulate pilots that never become durable capability.
A task-level method for deciding what AI should automate, augment or leave under deliberate human control.
If unmanaged: automation may target the wrong work, weaken critical judgement, create role ambiguity and erode workforce trust.
Using these resources well
These tools are intentionally practical and can be used by internal teams or other providers. Their value, however, depends on the quality of the inputs, the experience applied to difficult trade-offs and the willingness to challenge incomplete evidence.
AI Invent helps leaders tailor the tools to their risk appetite and operating environment, connect board requirements with technical and operational realities, and independently assess whether controls and reported outcomes work in practice.
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