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, outcome measurement, compliance analytics, and automated tools for identifying and treating risk.
| Capability | Strategy | Policy design | Operational | Outcomes and integrity |
|---|---|---|---|---|
| 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 |
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?
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?
AI Enablement
AI and digital adoption for the public sector, grounded in governance, security and data sovereignty requirements.
Where can AI genuinely improve outcomes, and how do we govern it?
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?
Population Modelling and Forecasting
Demand forecasts, population models and scenario analysis that inform how programs are designed, funded and adjusted.
What will this reform cost, and who will it reach?
Fraud and Compliance Analytics
Analytics that detect risk, support integrity oversight and inform treatment decisions defensibly and proportionately.
Which of these cases are worth acting on?
Data Engineering and Platforms
The pipelines, platforms and integrations that turn raw administrative data into analysis-ready assets.
Can our systems actually deliver analysis-ready data?
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?
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?
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.
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.