Evidence-based strategic advice for public and social sector organisations, grounded in policy context and the evidence for change.
Helping organisations realise the value of the data they already hold to unlock its potential and establish the necessary guardrails to protect it.
AI and digital adoption for the public sector, grounded in governance, security and data sovereignty requirements.
The full spectrum of analytical technique, from descriptive reporting to machine learning deployed at national scale.
Demand forecasts, population models and scenario analysis that inform how programs are designed, funded and adjusted.
Analytics that detect risk, support integrity oversight and inform treatment decisions defensibly and proportionately.
The pipelines, platforms and integrations that turn raw administrative data into analysis-ready assets.
Digital reporting designed around the decisions it supports and not the data that happens to be available.
Process mapping, workflow redesign and automation that ensures human effort is focused on what matters most.
Nine capabilities, four stages of work.
Government work moves through the same four stages. Most engagements span several of them, and the nine capabilities apply in different combinations.
Setting the direction. Data and AI strategies, operating models, business cases, and the framing of reform and transformation initiatives.
Shaping the work. Forecasting demand, modelling populations, analysing scenarios and building the analytical evidence base before programs are designed.
Running the work. Dashboards and reporting, data engineering and pipelines, process automation, and analytical prioritisation.
Measuring the work. Evaluation and outcomes measurement using advanced quantitative methods and linked data.
| Capability | Strategy | Policy design | Operational | Outcomes measurement |
|---|---|---|---|---|
| Strategy and Advisory | ||||
| Data Strategy and Enablement | ||||
| AI Enablement | ||||
| Advanced Analytics and Machine Learning | ||||
| Population Modelling and Forecasting | ||||
| Fraud and Compliance Analytics | ||||
| Data Engineering and Platforms | ||||
| Reporting, Dashboards and Visualisation | ||||
| Process Refinement and Automation |
Recent public work.
Developing a whole-of-state family violence data strategy
Ten-year cross-agency data strategy developed through consultation with more than 100 stakeholders across 10 agencies, guiding collection, performance monitoring, and reporting across the domestic, family, and sexual violence system.
Modernising the data backbone of a $2 billion primary care program
Automating data processes, developing operational dashboards, and supporting annual reporting for a major Commonwealth program spanning 31 regional primary care networks across Australia.
Risk indicators for disability scheme oversight
Development of risk indicators and market risk assessments to support scheme oversight and integrity.
Strategy and Advisory
Evidence-based strategic advice for public and social sector organisations, grounded in policy context and the evidence for change.
- “What is the strategic problem we are actually solving?”
- We test the assumptions behind the brief with your senior stakeholders and reframe the problem, so the work targets the decision that matters rather than the one first described.
- “What is the case for change, and what will it cost?”
- Business cases and economic appraisal that size unmet need, cost the options, and set out funding scenarios a central agency will accept.
- “How do we set up to deliver it, and know whether it worked?”
- Operating model design that names roles and decision rights, paired with evaluation and outcomes measurement that tests whether the reform delivered.
Data Strategy and Enablement
Helping organisations realise the value of the data they already hold to unlock its potential and establish the necessary guardrails to protect it.
- “We hold a lot of data. Where should we invest first?”
- A costed, sequenced roadmap that ranks initiatives by value and feasibility, so the first year of investment is defensible.
- “Who is accountable for this data, and under what rules?”
- Governance frameworks and operating models that assign stewardship, classify holdings, and set the guardrails for use.
- “How can data better inform the decisions we make?”
- A data strategy built backwards from the decisions your executive actually makes, identifying the holdings, capability and reporting that would sharpen them.
AI Enablement
AI and digital adoption for the public sector, grounded in governance, security and data sovereignty requirements.
- “Where can AI genuinely improve outcomes?”
- An AI strategy that separates the use cases with real value from the ones that only demonstrate well, sequenced against your data and capability.
- “How do we adopt it without creating unacceptable risk?”
- Responsible AI governance and assurance covering security, data sovereignty, human oversight, and the evidence you will need under scrutiny.
- “What does a working solution actually look like here?”
- AI solutions designed and implemented in your own environment and tested against real cases — generative systems such as document intelligence, agentic workflows, and machine learning models in production.
Advanced Analytics and Machine Learning
The full spectrum of analytical technique, from descriptive reporting to machine learning deployed at national scale.
- “Can we find the signal in the data we already collect?”
- Predictive and machine learning models built on your administrative data, tuned to the decision they inform.
- “What can we learn by joining datasets we hold separately?”
- Linked dataset analysis at state and national level to unlock cross-system insights, supported by rigorous quality and privacy handling assurances.
- “Is the effect we are seeing real?”
- Statistical testing and evaluation — including free text analysed through natural language processing — that establishes what the data can and cannot support.
Population Modelling and Forecasting
Demand forecasts, population models and scenario analysis that inform how programs are designed, funded and adjusted.
- “How much of this service will be needed, and where?”
- Demand forecasts at regional, state and national scale, built from population projections and observed utilisation, including the workforce required to meet them.
- “What will this reform cost, and who will it reach?”
- Cost projections and microsimulation that trace a policy change through to the people affected and the financial position over time.
- “What if our assumptions are wrong?”
- Scenario and sensitivity analysis showing which assumptions actually move the result.
Fraud and Compliance Analytics
Analytics that detect risk, support integrity oversight and inform treatment decisions defensibly and proportionately.
- “Where is the risk in a program this size?”
- Risk detection models and provider or participant profiling that surface patterns that are difficult to identify manually.
- “Which of these cases are worth acting on?”
- Prioritisation and triage frameworks that rank cases by risk and likely return, so finite compliance effort goes to the right places.
- “Can we defend how this decision was made?”
- Automated decision tools built for proportionality and explainability.
Data Engineering and Platforms
The pipelines, platforms and integrations that turn raw administrative data into analysis-ready assets.
- “Why does every report start with manual data wrangling?”
- Designed and automated pipelines that take raw administrative data to analysis-ready.
- “Will our platform hold up as demand grows?”
- Platform and warehouse design sized for the analytical load you expect and the security and sovereignty rules you operate under.
- “Can we trust the numbers coming out of it?”
- Linkage, matching and quality controls built into the pipeline, ensuring you get the same set of numbers each time.
Reporting, Dashboards and Visualisation
Digital reporting designed around the decisions it supports and not the data that happens to be available.
- “Can leadership see how the program is actually tracking?”
- Executive dashboards built around the decisions your leaders make, showing the few measures that should change what they do next.
- “How do we monitor delivery and meet our reporting obligations?”
- Program monitoring and oversight reporting that serves internal management and statutory reporting from the same trusted source.
- “Can people answer their own questions without asking us?”
- Interactive, self-service analytics and public-facing reporting designed for people who are not analysts.
Process Refinement and Automation
Process mapping, workflow redesign and automation that ensures human effort is focused on what matters most.
- “How much of this work still has to be done by hand?”
- Process mapping and current-state analysis that quantifies the manual effort and shows where it accumulates.
- “Where should we redesign rather than automate?”
- Workflow redesign that removes steps first, so you are not automating a process that should not exist.
- “What can we automate safely?”
- Automated reporting and document generation, and AI-enabled task automation where the task is repetitive and the output is checkable.
Our approach.
We blend analytics and management consulting toolkits, adapting our approach to each project's needs. Our work is guided by collaboration, precision, and a commitment to achieving the best outcomes for our clients.
We build relationships with clients and stakeholders, working together to achieve shared goals and successful outcomes.
We uphold excellence in all deliverables and services, maintaining high standards and continuous improvement.
We enhance client teams' data and analytics capabilities through growth, development, training, mentorship, and resources.
We utilise a toolkit of consulting techniques to communicate results, create compelling presentations, and craft professional documents.