Real-Time Intelligence Across Australian Government

The Challenge

Australia makes decisions that move markets and reputations at three levels at once: more than five hundred local councils, every state and territory parliament, and the Commonwealth. For the public-affairs and government-relations firms whose entire job is to see those decisions coming, the underlying data is a nightmare of fragmentation. Every council publishes its agendas differently. Every parliament runs its own Hansard, its own search engine, and its own terminology for the same procedural act. Tracking a single issue, say a planning reform or a short-stay-accommodation crackdown, means watching dozens of incompatible websites by hand, and still missing the early signal.

The intelligence already exists in the public record. It is simply unusable, scattered across hundreds of sources, unstructured, and impossible to query as one picture. So a firm advising a national client cannot answer the questions that actually matter. Where is this issue surfacing first? Who is driving it? How is it framed differently from one jurisdiction to the next?

Stromy built two products to close that gap, one for the grassroots and one for the parliaments, and made both queryable through a single AI-native interface.

Our Approach

Council monitoring, intelligence from the ground up. Most political risk is visible at the local level long before it reaches a state or federal agenda. Our council-monitoring engine scans local-government agendas and meeting papers for the topics that matter to a national player, starting in Victoria and built to scale across every council in the country. Point it at an issue, say every mention of short-stay accommodation across council chambers, and it surfaces where and when that conversation is happening at the earliest tier of decision-making, before it climbs. It runs on a resilient crawling stack designed for the messy reality of hundreds of independent council websites, so coverage holds where ad-hoc alerts and manual clipping break down.

The unified parliamentary database, every Australian parliament in one model. This is the heart of the platform. We took nine separate parliaments, the Commonwealth, all six states and both territories, each with its own Hansard, document formats and vocabulary, and normalised them into a single relational model. Debates, divisions and votes, questions on and without notice, petitions, tabled papers, and bills across every reading stage: eighteen canonical record types, made consistent across all nine jurisdictions. A member who appears under five different name spellings across five parliaments resolves to one identity. A bill’s journey through every chamber sits in one view. Questions that used to be effectively impossible, such as how a party frames an issue in New South Wales versus Victoria, or which members voted against a class of legislation anywhere in the country, collapse into a single query.

Built for the way agencies actually work. Both products are exposed through MCP, so a government-relations team can interrogate them in plain language inside their own AI workspace and build analytical workflows directly on top: policy-landscape mapping, topic-coverage tracking, stakeholder and party positioning, all against a clean relational source of truth. No scraping. No stitching together exports. No spreadsheets quietly going stale.

The Outcome

A firm working with these products sees the whole Australian decision-making landscape as one continuous surface, from a shire council’s Tuesday-night agenda to a Senate division, and can follow an issue across every level of government from a single place. The grunt work of collection disappears, and what remains is the analysis and the advice that clients actually pay for.

Because the data is structured and MCP-native, the advantage compounds. Every new question a team asks can be captured as a repeatable workflow, so the intelligence operation gets sharper with use while competitors are still working the websites by hand. The firm stops reacting to the news and starts seeing it form.