LithicBlue in Government & Policy:

Adopt AI without the accountability gap

Policy development is advisory work: scope a question, analyse a pile of source documents, produce a deliverable that has to withstand scrutiny. LithicBlue lets policy teams move faster on analysis, evidence gathering and review while keeping every claim sourced and every AI contribution visible. Defensible advice, not just plausible advice.

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reduction in re-work hours for a policy advisory practice: 60%
of submissions and evidence read, never a sample: 100%
data used to train AI models: Zero

Advice that shows its working

Provenance by design

A clear, automatic record of what was done by a person and what by AI: the audit trail behind a transparency statement, captured as the work happens rather than reconstructed for an FOI request six months later.

Source-linked, defensible advice

Every analysis and draft ties back to its source evidence. Reviewers can interrogate any line of output instead of taking it on faith, so policy products hold up under FOI, Senate Estimates and audit.

Consistency at scale

Your methodology, from Cabinet rules to the RIS process to evaluation standards, applied the same way across every branch and every brief, not dependent on which director you got.

The documents that have to show their working:

Cabinet submissions

The formal proposal asking Cabinet to make a decision, whether funding a program, changing a law or adopting a policy, setting out the problem, options, costs, risks and a recommendation. It is the highest-stakes document in government: weak evidence or a missed risk steers ministers toward a flawed decision, and an inquiry or Royal Commission can later expose exactly how the advice was built.

Every claim in the submission traces to its source evidence
Contradictions and thin evidence flagged before the advice goes up
The working captured as the submission is drafted, not reconstructed later

On the platform

Each statement in the draft opens into its provenance trail, from claim to reasoning to exact source passage, so the submission can show its working long after it leaves the branch.

Works with your tools

LithicBlue connects to the platforms your firm already runs on: sources flow in, verified deliverables flow out.

Security & data sovereignty

Security and residency you can sign off on. Data is encrypted in transit and at rest (AES-256 / TLS), each engagement is isolated, and your data is never used to train AI models. Dedicated-tenancy and regional data-residency options are available for departments with specific compliance requirements, and the audit trail is designed to speak the language of the DTA Standard and the NSW AI Assessment Framework.