Civic & Government – Real Minds AI
Industry · Civic & Government

AI for government agencies & councils, grounded in your own policy library and prior submissions.

Turn a 5-day submission cycle into a 1-day review cycle.
In one line

AI for government agencies and councils is grounded, auditable software RMAI builds on an organisation’s own policy library, prior submissions, and documentary record — so the submission drafting, briefing, knowledge search, and FOI work that fills an officer’s week is drafted, cited, and audit-ready in hours, with a named officer signing off every output.

Last updated 1 June 2026·TA reviewed by Tracy Anthony, principal · RMAI
01The situation

What actually slows a government or civic organisation down.

Under capped rates and shrinking grants, the binding constraints are rarely the policy work itself — they are operational: consultation submissions assembled by reading years of scattered documents, briefings that demand a traceable chain from prior decisions, knowledge that walks out the door with the staff who hold it, and FOI requests that spike without warning. Each one is a documents-and-data problem, which is exactly where grounded AI pays back.

~1 hr/day

Repetitive admin eats an hour out of every day

Summarising long documents, searching for the right precedent, and drafting the same kinds of response run hundreds of times a week. The binding constraint is not the team's judgement — it is their attention, spent on rote document work instead of advice, casework, and constituents.

· Digital Transformation Agency, APS Copilot trial 2024
daysof officer time

Submissions and briefings are built by reading scattered documents

Every consultation response or ministerial briefing has to demonstrate a traceable line from prior positions and decisions to the current one. That evidence lives across old submissions, board resolutions, and policy papers, and someone has to read all of it before the window closes.

· RMAI sector diagnostic
lostwith turnover

Institutional knowledge is locked in files and staff tenure

The submission that set a position, the memo that resolved a disputed interpretation — this material is in the archive but findable only by people who remember it is there. When those people rotate or leave, the organisation re-litigates questions it already settled.

· sector ops review
63% on spreadsheets

FOI still runs on spreadsheets in small governance teams

Freedom of Information and records requests mean locating, reviewing, and classifying documents against exemption frameworks — and most agencies still track it in Excel rather than a case-management system. The search is manual, the review is careful, and the volume spikes without warning.

· OAIC FOI Practitioners' Survey 2024
02The value

What changes once the policy work is grounded in your own documentary record.

Government and civic organisations working with RMAI compress submission cycles and make institutional knowledge findable by any staff member — not just the ones who remember where it lives. The outcomes below are illustrative of patterns RMAI has shipped; every one keeps an officer on the final call.

1day
Submission first draft with prior-position citations
AI retrieves prior submissions, policy positions, and decisions from the organisation's own library, maps them to the consultation questions, and drafts a grounded response. The officer spends the time on judgement and refinement, not document archaeology, and signs off the final draft.
instant
Cited policy and precedent retrieval
Natural-language search across the organisation's own policy papers, prior submissions, and decisions, with a link to each source clause. Knowledge that lived in someone's tenure becomes findable by any staff member — the officer still confirms the answer before it is used.
< 2hrs
FOI document search and classification pass
AI identifies and classifies the documents responsive to a request, flags likely exemptions with the ground, and assembles the review set. The officer applies the legal test and makes every disclosure decision; the manual hunting is done.
03FAQs

The questions leaders ask first.

The questions below are the ones RMAI hears in the first call — on safety, staffing, compliance, cost, and feasibility.

RMAI builds inside your existing tenancy — your SharePoint, your records system, your document store. Sensitive material is never sent to a public chatbot or used to train a third-party model; the assistant only sees the documents you point it at, and every answer is cited to its source. This is the line OVIC and the NSW AI Assessment Framework draw, and a named officer reviews every output before it leaves the building.
RMAI tools retrieve and draft; people advise and decide. Officers move from assembling evidence to evaluating it — the analytical and political judgement that is genuinely their job. In the Australian Public Service Copilot trial, 40% of staff redirected the saved time to higher-value work rather than losing roles. No tool here acts on a decision of public consequence by itself.
It makes compliance a by-product, not a scramble. The Commonwealth policy for the responsible use of AI now expects an AI register, a transparency statement, and an impact assessment; RMAI builds to that, keeps an audit trail of how every figure and citation was reached, and leaves a named officer accountable for the output. For FOI, the tool speeds the document search and classification — your team still applies every exemption.
RMAI always starts with a fixed-price AI working session ($4,500, credited against the build) that tells you whether the pattern fits before any build. A focused build typically ships in 3–6 weeks in the $10k–$60k AUD band — not a multi-year platform. Most of the work is already done: these tools are skins of patterns RMAI has shipped before, so a smaller team pays for the bespoke ~30%, not a build from scratch.
Only with a human in the loop — which is how RMAI builds it. Language models can state a wrong thing confidently; the MAV found AI-drafted planning reports that missed statutory triggers. So the AI is held to drafting, retrieving, and summarising, and a person approves every output. AI run over dirty, disconnected data amplifies the mess rather than fixing it, so the working session identifies what is clean enough to index first.
04ROI

What the time recovered is worth.

Move the sliders for your own volumes; the benchmark shows where shipped builds have landed.

Estimate · drafting + triage time recovered
Documents handled / month200
Minutes saved / document20
Loaded staff cost / hour$55
$44,000 AUD / year
800 senior-staff hours returned each year. Directional — we firm this up in the diagnostic.
Benchmark · per-task, shipped builds
before → after
TaskBeforeAfter
Consultation submission first draft3–5 days officer time1 day (review)
Policy / precedent searchhours / ask the seniorinstant cited answer
FOI document classificationhalf-day manual search< 2 hrs
Re-keying between systems5–10 min per itemseconds
05Applications

What RMAI has built for this sector.

The applications below are grounded, human-in-the-loop tools RMAI has built or scoped for this sector — illustrative of the patterns we ship.

Consultation Submission Drafter

Turns a council or agency consultation notice plus your own prior submissions, policy positions and meeting resolutions into a structured, fully cited first draft — mapping each consultation question to a recorded position and flagging anything unrecorded for an officer to decide.

build est. · 4–6 weeks

Council Enquiry Assistant

A 24/7 first responder for routine rates, waste, and permit enquiries that answers from the council's own published information with citations, and hands the complex or vulnerable cases to staff with the full context attached.

build est. · 3–4 weeks

FOI Triage Logger

Reads each inbound Freedom of Information request, extracts the reference, applicant, date and scope, routes it to the owning department and starts the 30-day statutory clock, then flags requests touching third-party personal affairs for exemption review before the officer signs anything.

build est. · 3–5 weeks

Policy Precedent Finder

Ask "what is our position on this, and who can sign it off?" and get a plain-language answer cited to the exact delegation clause and prior decision — so the knowledge that walks out when a long-serving officer leaves stays on the record.

build est. · 3–4 weeks

Also useful here

Restricted-Fund Reconciler

Matches program spending lines against each restricted grant's approved categories and budget, flags every line that doesn't map or that overspends, and hands finance an exceptions list to decide on — turning a manual cross-match into a short review.

build est. · 3–4 weeks

Supporter Inquiry Triage

Reads each enquiry in a shared inbox, classifies intent and urgency, routes it to the right team, and drafts a values-aligned reply for staff to approve — so urgent requests surface first instead of waiting days behind routine ones.

build est. · 3–4 weeks

Engagement Intake & Routing Desk

Reads each inbound enquiry, extracts the client and matter details, classifies the request, runs a conflict check, drafts a holding reply, and routes it to the right team — for a person to review before anything is sent.

build est. · 3–4 weeks

06Prompts

Prompts you can use today, for free.

Sector-specific prompts RMAI uses as starting points. Copy one, run it against your own documents in any assistant, and see the shape of the answer before you talk to us.

Submission draft
Draft our submission to the [consultation name] using our prior submissions, policy position papers, and any relevant board resolutions below as the only source material. For each consultation question, identify our prior position, cite the exact source document and clause, and draft a response consistent with it. Flag any question where our position is ambiguous or unrecorded rather than inventing one. Output for an officer to review before lodgement.
Precedent search
Find every prior submission and policy paper in the material below where we have stated a position on [policy topic]. For each, give the position, the date, and the source document, and quote the line it came from. If our position appears to have changed over time, show the sequence. Do not infer a position we have not recorded — say so instead.
FOI triage
Review the documents responsive to this FOI request and classify each as: clearly disclosable, likely exempt (name the exemption ground and quote the clause from our framework below), or needs legal review. Do not make any final exemption decision — flag those for the legal team. Cite the page each classification is based on, and leave the call blank where the framework does not clearly apply.
Field extraction
Extract the following fields from each attached document into a table: [list your fields — e.g. applicant name, date, address, request type]. For any field you cannot find in the document, write NOT FOUND — do not infer or guess a value. Cite the page or section each value came from. Output for a human to check before anything is entered into the system of record.
08Proof

What a defensible result looks like.

These are published third-party results in comparable Australian and New Zealand public-sector organisations — illustrative of the target RMAI builds toward, with a person reviewing every output. They are not RMAI client claims.

~1 hr/day
of admin time reclaimed across a whole-of-government AI trial of 7,769 staff
Australian Public Service (whole-of-government Copilot trial)~60 agencies, 7,769 licences: an estimated hour a day saved on summarising, searches, and first drafts, with 40% of participants reallocating the time to higher-value work · Digital Transformation Agency, 2024
Moorabool Shire Council (VIC, ~331 staff)AI-enabled data reformatting cut 5–10 minute jobs to under a minute — a projected 12 weeks of staff time saved per year · IPWEA / Datacom case study, 2025 (vendor-reported)
Hutt City Council (NZ)Internal AI trial — early data show participants saved ~38 minutes a day (≈20 working days a year); a LIM-compilation automation projected to cut turnaround from up to 10 days to minutes, now in pilot · Hutt City Council, 2024–25

Considering AI for your agency, council, or peak body?

The two-week diagnostic is the right place to start. Fixed scope, fixed price. We’ll tell you whether the pattern fits and what the build would look like.

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