SEE OUR IMPACT
Leadership from Choir has driven the development of the following client programs.
Australian Energy Company
The requirement: Building a new digital go-to-market channel
❖ Strategy
This organisation has a mandate to lead Australia’s decarbonisation journey, helping customers make informed choices about their energy use and the shift to electrification.
❖ Support
Over a three-month build / launch cycle, we created a robust platform to guide users on their electrification journey, including data-driven recommendations and projected benefits that align to their decarbonisation goals.
❖ Impact
By building a fully integrated channel to market, the platform opened new pathways for revenue growth and competitive differentiation.
In response to a growing demand for sustainable energy solutions, members of our team designed, built and delivered a revolutionary data science, AI-driven platform to guide residential energy consumers towards their electrification end-goals. This platform guides users on a fully integrated electrification journey, with very specific recommendations, estimated savings and carbon benefits. At the same time, the organisation captures significant user insights and benefits from resulting user actions.
While the user experience of this platform seems elegant, behind the scenes are complex calculations for energy calculations for solar radiance, geolocation, energy tariffs, energy demand modelling and external data sources APIs.
The platform incorporates to-the-minute energy usage, sourced through Consumer Data Rights (CDR) framework, to support AI-driven decision and recommendations engine and impact tracking dashboard.
Members of our team undertook the data engineering and platform development including testing, refinement and enhancement of the platform functions, to ensure the resilience and performance of the solution.
Importantly, the solution started as a single platform, but has been extended with new functions and features, so that it has matured into a fully integrated channel to market that drives customer engagement and opens new revenue streams.
This platform has demonstrated the organisation’s ability to rapidly respond to new market opportunities, with secure, stable design, that can flex and grow in changing market conditions.
Victorian Government department
Case Study: Supporting a Victorian Government Department with AI Integration
❖ Context
This Victorian government department was looking to integrate AI into their operations. Their leaders required strategic guidance, education, and practical demonstrations to better understand how AI could improve its workflows and service delivery.
❖ Support
To help the department learn by doing, we delivered several tailored proofs of concept alongside strategic advice.
❖ Impact
These demonstrations provided the department with practical, exploratory and working solutions to complex problems. Staff were able to experiment with the prototypes, evaluate their potential, and consider scaling pathways for the organisation.
Three key use cases were addressed, including:
Use Case 1: Information Management
The department was seeking to manage a continuously updated repository of documents, including PDFs, Word files, and spreadsheets. We built a system that periodically scanned these files, created a structured knowledge database, and connected it to a chatbot powered by a Large Language Model (LLM). Using a Retrieval-Augmented Generation (RAG) approach, the chatbot delivered accurate, targeted answers based on internal data rather than general knowledge. Robust access controls were implemented to ensure responses always respected user permissions, protecting sensitive information while maximising utility.
Use Case 2: Regulatory Case Handling
This prototype demonstrated how several AI agents, each fine-tuned to specific regulations, could coordinate to handle complex complaints. A single incident — such as an illegal gathering might span multiple regulations and departmental responsibilities. The AI agents collaborated to analyse the complaint, classify its elements, and draft a response for the citizen. At the same time, the system generated an internal task list for human officers, outlining the steps necessary to investigate and act on the case.
Use Case 3: Collaborative Decision-Making
The third prototype highlighted the use of multiple AI agents working together to support complex decision-making at a policy level. In this scenario, agents played different roles: one accessed online data, another queried local datasets through RAG, one was fine-tuned on relevant government regulations, and another incorporated human input at key stages. By pooling their outputs, the agents helped explore high-level scenarios such as the best strategies for reducing peak-hour traffic congestion on a major city bridge. This multi-agent system revealed how AI could combine diverse perspectives and data sources into actionable recommendations for decision-makers.