Resources

Plain-language guides to private AI adoption.

Resources for organisations exploring AI but facing privacy, compliance, procurement, or data sovereignty barriers.

Resource categories

The topics we are building the library around.

Guides explaining local AI, air-gapped deployments, data sovereignty, and private model infrastructure.

Articles for legal, health, education, local government, and professional service teams.

Content for decision-makers evaluating whether AI tools are suitable for sensitive work.

Occasional updates on Yonnie's product direction, pilots, and market thesis.

Resources

A practical explanation of what private AI infrastructure means when an organisation cannot send sensitive information into public cloud systems.

18 April 2026

Data sovereignty becomes easier to reason about when the AI system moves closer to the organisation instead of the data moving outward.

17 April 2026

Air-gapped AI is about deployment models that can operate without depending on public network access for sensitive workflows.

16 April 2026

Resources

Why privacy-first AI is a better starting point for law firms than generic public cloud copilots.

15 April 2026

Documentation-heavy health workflows can benefit from AI, but only if privacy and review remain central.

14 April 2026

Schools and education providers need practical AI support that respects student, staff, and policy data boundaries.

13 April 2026

Local government teams need better access to planning, policy, and operational knowledge without weakening data control.

12 April 2026

Client confidentiality and compliance pressure make private AI a more credible path for accounting firms than cloud-first tools.

11 April 2026