NDISQSC

NDIS Quality and Safeguards Commission

Tracked since 11 Nov 2025 · 1 change of substance across 3 versions · last changed 26 Feb 2026

What’s changed

How to read this
  1. Tracking begins. The statement says it was first published Feb 2026.

  2. substantive Replaces its "no AI in use" statement with a full rewrite that discloses Copilot Chat, an AI-enabled contact centre and planned LLM document annotation, and changes the enquiries contact.

    read by Claude Opus 5.5
    • Removed: statement that the Commission does not use AI internally or externally
    • Discloses Microsoft 365 Copilot Chat for workplace productivity
    • Discloses cloud contact platform using AI for text-to-speech, transcription and customer sentiment analysis
    • Discloses planned LLM annotation of complaints, reportable incidents and audit reports, scheduled for February 2026
    • Commits that no regulatory decisions are made by AI and AI is not used in recruitment or employment decisions
    • States there is no public-facing AI use without a human intermediary
    • Requires staff to complete AI training before using AI tools
    • Classifies use under the DTA scheme: analytics for insights, workplace productivity, decision making and administrative action across five domains
    • Commits to comply with policy v2.0 mandatory requirements, including impact assessment
    • Enquiries contact changed from CIO@ndiscommission.gov.au to AI@ndiscommission.gov.au
    • Removed: review triggers for significant change or new factors; now annual or on significant change
    • Adds its own definition of AI framed around health and welfare
    • Added: Domain added: compliance and fraud detection
    • Added: Domain added: corporate and enabling
    • Added: Domain added: policy and legal
    • Added: Domain added: scientific
    • Added: Domain added: service delivery
    • Added: Intentions behind AI use added
    • Added: Legislative compliance statement added
    • Added: Monitoring and protection measures added
    • Added: Named tool added: Microsoft 365 Copilot Chat
    • Added: New commitment (human oversight): Always maintain appropriate human oversight; staff review and finalise Copilot content
    • Added: New commitment (will not): AI is not used to automate recruitment, selection or employment-related decision making
    • Added: New commitment (will not): Browser-based AI not used to make, automate or determine regulatory or compliance decisions
    • Added: New commitment (will not): No regulatory decisions are made by AI; models do not recommend regulatory actions
    • Added: New commitment (will): Internal AI policies will align with DTA Policy and apply to all employees and contractors
    • Added: New commitment (will): Staff must complete internal AI training before using AI tools
    • Added: New commitment (will): Will comply with mandatory requirements of the DTA Policy for the Responsible Use of AI (v2.0)
    • Added: New commitment (will): Will comply with relevant legislation, regulations, frameworks and best practice standards
    • Added: New commitment (will): Will continue to train and develop staff to use AI safely, responsibly and ethically
    • Added: New commitment (will): Will continue working closely with the DTA and follow applicable guidelines
    • Added: New commitment (will): Will monitor AI tools through governance and act if benefits unrealised or unintended consequences arise
    • Added: Policy compliance statement added
    • Added: Safeguard added: acceptable use policy
    • Added: Safeguard added: human review of outputs
    • Added: Safeguard added: privacy or security controls
    • Added: Safeguard added: risk assessment
    • Added: Safeguard added: staff training
    • Added: Staff training: not mentioned → mandatory
    • Added: Usage pattern added: analytics for insights
    • Added: Usage pattern added: decision making and administrative action
    • Added: Usage pattern added: workplace productivity
    • Changed: Commitment kept (will): Will update this statement in accordance with the Policy when AI capability is implemented
    • Changed: Policy version referenced: v1 → v2
    • Changed: Public-facing AI use: none → with human review
    • Changed: Stated first-published date: — → 2026-02
    • Changed: Stated last-updated date: 2025-02 → 2026-02
    Show the words that changed ↓

What the statement says

How to read this

The NDIS Quality and Safeguards Commission now reports using AI for workplace productivity (Microsoft 365 Copilot Chat), for speech, transcription and sentiment analytics in a cloud contact platform, and, planned for February 2026, for LLM annotation of complaints and incident records. It says AI makes no regulatory decisions, that it keeps human oversight, that staff must be trained before using AI tools, and that it will comply with version 2.0 of the DTA policy. read by Claude Opus 5.5

What it says AI is used for

  • Analytics for insights
  • Workplace productivity
  • Decision making and administrative action
  • Service delivery
  • Compliance and fraud detection
  • Policy and legal
  • Scientific
  • Corporate and enabling

Named tools: Microsoft 365 Copilot Chat

Public-facing AI: yes, with human review

Safeguards named: staff training, human review of outputs, privacy or security controls, an acceptable-use policy, risk assessment

The Standard’s eight elements 8 of 8

  • Found: Intentions behind AI use
  • Found: Use classified by DTA usage pattern or domain
  • Found: Public-facing use addressed
  • Found: Monitoring and protection measures
  • Found: Compliance with the policy
  • Found: Compliance with legislation
  • Found: Date last updated
  • Found: Public contact

What the policy requires Policy v2.0

Accountable official
not mentioned
Strategic position on AI
not mentioned
AI use-case register
not mentioned
Staff training
mandatory
Policy version referenced
version 2.0

What the AI Plan asks AI Plan

Chief AI Officer
not mentioned

Dates as of 12 Oct 2026

Review schedule
annually and when the approach changes
Says it was last updated
Feb 2026
Last change we saw
26 Feb 2026
Updated since policy v2.0
yes
Annual review
stated date within the last year

Commitments

  • will not No regulatory decisions are made by AI; models do not recommend regulatory actions
  • will not AI is not used to automate recruitment, selection or employment-related decision making
  • will not Browser-based AI not used to make, automate or determine regulatory or compliance decisions
  • human oversight Always maintain appropriate human oversight; staff review and finalise Copilot content
  • will Will review statement annually, on significant change to AI approach, or when new factors impact it
  • will Will comply with mandatory requirements of the DTA Policy for the Responsible Use of AI (v2.0)
  • will Will comply with relevant legislation, regulations, frameworks and best practice standards
  • will Staff must complete internal AI training before using AI tools
  • will Will monitor AI tools through governance and act if benefits unrealised or unintended consequences arise
  • will Internal AI policies will align with DTA Policy and apply to all employees and contractors
  • will Will continue to train and develop staff to use AI safely, responsibly and ethically
  • will Will continue working closely with the DTA and follow applicable guidelines

The statement

How to read this

The NDIS Quality and Safeguards Commission’s commitment to the safe and responsible use of Artificial Intelligence (AI) supports our vision to uphold the rights of people with disability and ensure safe, high-quality services across Australia, now and into the future.

The NDIS Commission applies the Organisation for Economic Co-operation and Development (OECD) definition of AI in line with the Policy for the responsible use of AI in government by the Digital Transformation Agency (DTA) to ensure our AI use is safe, ethical, and transparent. (Template language)

“AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight.” Also appears in 1 other agency AIHW

The NDIS Commission will comply with mandatory requirements under the DTA’s Policy for the Responsible Use of AI in Government, including strategic oversight, operational preparedness, and impact assessment for AI use cases, to ensure our AI practices remain safe, ethical, and transparent. (Template language)

Use of AI by the NDIS Commission

At this time, the NDIS Commission is not using AI in any way that members of the public may directly interact with, or be significantly impacted by, without a human intermediary or intervention. As a prerequisite to using AI tools, NDIS Commission staff are required to complete internal training on the use of AI.

The AI we use helps our staff make more informed decisions. It frees them to focus more on aspects of our work that require human judgment and empathy.

We classify our AI use according to classification system for AI. Our current and proposed use focuses on the following usage patterns and domains.

The table below represents AI usage patterns at the NDIS Commission:

Usage Pattern Description
Analytics for insights Identifying patterns and producing insights using data analysis and modelling.
Workplace productivity Automating routine tasks, assisting with document drafting and summarising content.
Decision making and administrative action Informing performance and productivity improvement. No regulatory decisions are made by AI.

The table below illustrates how the AI usage patterns are applied within the domains where AI is used at the NDIS Commission:

Domain Description
Service delivery Supporting clear communication and timely responses.
Compliance and fraud detection Identifying anomalies to support compliance activities.
Policy and legal Assisting analysis and assurance in policy development and legal research.
Scientific Processing complex datasets to inform monitoring and research.
Corporate and enabling Improving internal operations (e.g. Finance and ICT) AI is not used to automate recruitment, selection, or employment related decision making.

We recognise the importance of robust governance, oversight and accountability. This helps us to ensure AI development and use is ethical and safe and delivers fit for purpose outcomes. We take a measured and cautious approach when exploring AI tools and techniques. We will closely monitor AI-enabled tools through governance processes, and take appropriate action, if intended benefits are not being realised or unintended consequences are arising. We only use AI in ways that maintain the security, privacy, transparency and ethical use of data. We always maintain appropriate human oversight. We continue to evolve our data governance as our maturity increases. We are expanding our policies and guidance to reference AI more directly. AI is evolving rapidly in an ever-changing technology environment. Therefore, we will continue to evaluate and change our data governance to ensure it remains fit for purpose. We will continue to train and develop our staff to ensure we use AI safely, responsibly and ethically.

The NDIS Commission will adhere to the Digital Transformation Agency’s Policy for the Responsible Use of AI in Government (Version 2.0), ensuring safe and ethical AI governance. This commitment includes strategic adoption, operationalising responsible practices, clear accountability, and risk-based oversight. The policy is dynamic and will evolve alongside technological advancements, emerging best practices, and regulatory developments. (Template language)

The NDIS Commission is committed to using AI in a safe, responsible and transparent way. Our AI initiatives align with the APS values, AI Ethics Principles and are central to the public’s best interest. We will:

  • Comply with relevant legislation, regulations, frameworks, and best practice standards.
  • Continue to work closely with the DTA and use AI in accordance with applicable guidelines and new insights as they emerge.
  • Review this statement annually or when significant changes occur in our AI approach.

Safe and Responsible AI Adoption Also appears in 4 other agencies ACSQHC CDC DHAC NBA

We will be transparent as we adopt responsibly for the evolving AI technology and policy requirements. Our internal policies and guidance will align with the DTA’s Policy and emerging government standards, including mandatory guardrails for high-risk settings. These policies will cover governance, ethical use, security, record keeping, risk mitigation, and staff responsibilities. They will apply to all employees and contractors.

Examples of how we use AI Also appears in 1 other agency ATO

The NDIS Commission currently uses AI in the following system use cases, including:

Microsoft 365 Copilot Chat:

By integrating Microsoft 365 Copilot Chat, the NDIS Commission is enhancing staff productivity. Copilot leverages generative AI to help automate repetitive tasks, summarise documents, assist in drafting emails and reports, and assist with data analysis, with staff responsible for reviewing and finalising content. This enables staff to focus on higher-value work, make more informed decisions, and reduce time spent on manual processes.

Classification system for AI use: workplace productivity usage pattern, corporate and enabling domain. Also appears in 1 other agency ATO

Cloud‑based contact solution:

The NDIS Commission is enhancing customer service through the adoption of a secure cloud‑based contact platform. This platform uses AI‑enabled speech and transcription functions to:

  • Convert written text to spoken language.

These capabilities enable the NDIS Commission to gain actionable insights, improve service quality, and optimise communication workflows. The result is a strengthened client experience, achieved through greater transparency, efficiency and responsiveness.

Classification system for AI use: analytics for insights usage pattern, service delivery domain. Also appears in 1 other agency ATO

Annotation of Text Documents

This capability is currently scheduled for late February 2026.

This AI use-case involves deployment of Large Language Models (LLMs) to process text documents, such as Complaints, Reportable Incidents, Audit Reports, etc. Our use of LLMs within this processing is limited to annotation of documents with summary information that supports further analysis. No regulatory decisions are made by the model, nor do the models make recommendations on possible regulatory actions. Information is processed in a secure internal environment.

Examples of use include the following:

  • Identifying specific risk-indicators, such as a description within a Complaint indicating that a Participant was physically injured or that the Participant is a child.
  • Categorisation with regard to main topics or themes.
  • Extraction of entity names to identify relevant Providers or Workers.

Annotations provided by an LLM may be used to identify records that are relevant to a user’s search, may be presented in a summary or detailed views used by regulatory officers as part of an assessment or investigation, and/or may be used as part of an aggregation for reporting or to inform macro-analysis.

AI use through the browser

This capability may be available via publicly accessible services; however, the NDIS Commission does not use browser-based AI to make, automate, or determine regulatory or compliance decisions.

Updates and more information Also appears in 1 other agency ASIC

This transparency statement was created in February 2026. It will be updated to reflect changes in our approach to AI.

For enquiries, please contact AI@ndiscommission.gov.au.

Statement text © NDIS Quality and Safeguards Commission. Most agency content is CC BY 4.0; check the original for its terms.

Every version

Every copy the daily scrape saved that differed from the one before, including minor edits. Pick a dot to see the statement as it was then.

  1. noise +10
    The words that changed
    The NDIS Quality and Safeguards Commission’s commitment to the safe and responsible use of Artificial Intelligence (AI) supports our vision to uphold the rights of people with disability and ensure safe, high-quality services across Australia, now and into the future. The NDIS Commission applies the Organisation for Economic Co-operation and Development (OECD) definition of AI in line with the [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy) by the Digital Transformation Agency (DTA) to ensure our AI use is safe, ethical, and transparent. _“AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight.”_ The NDIS Commission will comply with mandatory requirements under the DTA’s Policy for the Responsible Use of AI in Government, including strategic oversight, operational preparedness, and impact assessment for AI use cases, to ensure our AI practices remain safe, ethical, and transparent. ## Use of AI by the NDIS Commission At this time, the NDIS Commission is not using AI in any way that members of the public may directly interact with, or be significantly impacted by, without a human intermediary or intervention. As a prerequisite to using AI tools, NDIS Commission staff are required to complete internal training on the use of AI. The AI we use helps our staff make more informed decisions. It frees them to focus more on aspects of our work that require human judgment and empathy. We classify our AI use according to [classification system for AI](https://www.digital.gov.au/policy/ai/resources/use-classification). Our current and proposed use focuses on the following usage patterns and domains. The table below represents AI usage patterns at the NDIS Commission: | Usage Pattern | Description | | ----------------------------------------- | ------------------------------------------------------------------------------------------- | | Analytics for insights | Identifying patterns and producing insights using data analysis and modelling. | | Workplace productivity | Automating routine tasks, assisting with document drafting and summarising content. | | Decision making and administrative action | Informing performance and productivity improvement. No regulatory decisions are made by AI. | The table below illustrates how the AI usage patterns are applied within the domains where AI is used at the NDIS Commission: | Domain | Description | | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------- | | Service delivery | Supporting clear communication and timely responses. | | Compliance and fraud detection | Identifying anomalies to support compliance activities. | | Policy and legal | Assisting analysis and assurance in policy development and legal research. | | Scientific | Processing complex datasets to inform monitoring and research. | | Corporate and enabling | Improving internal operations (e.g. Finance and ICT) AI is not used to automate recruitment, selection, or employment related decision making. | ## AI governance We recognise the importance of robust governance, oversight and accountability. This helps us to ensure AI development and use is ethical and safe and delivers fit for purpose outcomes. We take a measured and cautious approach when exploring AI tools and techniques. We will closely monitor AI-enabled tools through governance processes, and take appropriate action, if intended benefits are not being realised or unintended consequences are arising. We only use AI in ways that maintain the security, privacy, transparency and ethical use of data. We always maintain appropriate human oversight. We continue to evolve our data governance as our maturity increases. We are expanding our policies and guidance to reference AI more directly. AI is evolving rapidly in an ever-changing technology environment. Therefore, we will continue to evaluate and change our data governance to ensure it remains fit for purpose. We will continue to train and develop our staff to ensure we use AI safely, responsibly and ethically. The NDIS Commission will adhere to the Digital Transformation Agency’s Policy for the Responsible Use of AI in Government (Version 2.0), ensuring safe and ethical AI governance. This commitment includes strategic adoption, operationalising responsible practices, clear accountability, and risk-based oversight. The policy is dynamic and will evolve alongside technological advancements, emerging best practices, and regulatory developments. ## Our Commitment The NDIS Commission is committed to using AI in a safe, responsible and transparent way. Our AI initiatives align with the APS values, AI Ethics Principles and are central to the public’s best interest. We will: - Comply with relevant legislation, regulations, frameworks, and best practice standards. - Continue to work closely with the DTA and use AI in accordance with applicable guidelines and new insights as they emerge. - Review this statement annually or when significant changes occur in our AI approach. ### Safe and Responsible AI Adoption We will be transparent as we adopt responsibly for the evolving AI technology and policy requirements. Our internal policies and guidance will align with the DTA’s Policy and emerging government standards, including mandatory guardrails for high-risk settings. These policies will cover governance, ethical use, security, record keeping, risk mitigation, and staff responsibilities. They will apply to all employees and contractors. ## Examples of how we use AI The NDIS Commission currently uses AI in the following system use cases, including: ### Microsoft 365 Copilot Chat: By integrating Microsoft 365 Copilot Chat, the NDIS Commission is enhancing staff productivity. Copilot leverages generative AI to help automate repetitive tasks, summarise documents, assist in drafting emails and reports, and assist with data analysis, with staff responsible for reviewing and finalising content. This enables staff to focus on higher-value work, make more informed decisions, and reduce time spent on manual processes. _Classification system for AI use: workplace productivity usage pattern, corporate and enabling domain._ ### Cloud‑based contact solution: The NDIS Commission is enhancing customer service through the adoption of a secure cloud‑based contact platform. This platform uses AI‑enabled speech and transcription functions to: - Convert written text to spoken language. - Transcribe audio conversations. - Assess customer sentiment. These capabilities enable the NDIS Commission to gain actionable insights, improve service quality, and optimise communication workflows. The result is a strengthened client experience, achieved through greater transparency, efficiency and responsiveness. _Classification system for AI use: analytics for insights usage pattern, service delivery domain._ ### Annotation of Text Documents This capability is currently scheduled for late February 2026. This AI use-case involves deployment of Large Language Models (LLMs) to process text documents, such as Complaints, Reportable Incidents, Audit Reports, etc. Our use of LLMs within this processing is limited to annotation of documents with summary information that supports further analysis. No regulatory decisions are made by the model, nor do the models make recommendations on possible regulatory actions. Information is processed in a secure internal environment. Examples of use include the following: - Identifying specific risk-indicators, such as a description within a Complaint indicating that a Participant was physically injured or that the Participant is a child. - Categorisation with regard to main topics or themes. - Extraction of entity names to identify relevant Providers or Workers. _Annotations provided by an LLM may be used to identify records that are relevant to a user’s search, may be presented in a summary or detailed views used by regulatory officers as part of an assessment or investigation, and/or may be used as part of an aggregation for reporting or to inform macro-analysis._ ### AI use through the browser This capability may be available via publicly accessible services; however, the NDIS Commission does not use browser-based AI to make, automate, or determine regulatory or compliance decisions. ## Updates and more information This transparency statement was created in February 2026. It will be updated to reflect changes in our approach to AI. For enquiries, please contact [**AI@ndiscommission.gov.au**](mailto:AI@ndiscommission.gov.au).
    cdc3af6
  2. substantive +8284

    Replaces its "no AI in use" statement with a full rewrite that discloses Copilot Chat, an AI-enabled contact centre and planned LLM document annotation, and changes the enquiries contact.

    read by Claude Opus 5.5
    The words that changed
    **February 2025** The Digital Transformation Agency's [Policy for the responsible use of AI in government](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) (the Policy) sets out the Australian GovThe NDIS Quality and Safeguards Commission’s commitment to the safe and responsible use of Artificial Intelligence (AI) supports our vision to uphold the rights of people with disability and ensure safe, high-quality services across Australia, now and into the future. The NDIS Commission applies the Organisation for Economic Co-operation and Development (OECD) definition of AI in line with the [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy) by the Digital Transformation Agency (DTA) to ensure our AI use is safe, ethical, and transparent. _“AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight.”_ The NDIS Commission will comply with mandatory requirements under the DTA’s Policy for the Responsible Use of AI in Government, including strategic oversight, operational preparedness, and impact assessment for AI use cases, to ensure our AI practices remain safe, ethical, and transparent. ## Use of AI by the NDIS Commission At this time, the NDIS Commission is not using AI in any way that members of the public may directly interact with, or be significantly impacted by, without a human internment’diary or intervention. As ap proach to embracing the opportunities of AI while ensuring that use is safe and responsible. Transparency is erequisite to using AI tools, NDIS Commission staff are required to complete internal training on the use of AI. The AI we use helps our staff make more informed decisions. It frees them to focus more on aspects of our work that require human judgment and empathy. We classify our AI use according to [classification system for AI](https://www.digital.gov.au/policy/ai/resources/use-classification). Our current and proposed use focuses on the following usage patterns and domains. The table below represents AI usage patterns at the NDIS Commission: | Usage Pattern | Descriptical to building public trust and is an important aim of the Policy and the broader APS Reform agenda. An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. Currently, the NDIS Quality and Safeguards Commission (NDIS Commission) does not use AI in services or advice we provide externally (publicly) or internallyon | | ----------------------------------------- | ------------------------------------------------------------------------------------------- | | Analytics for insights | Identifying patterns and producing insights using data analysis and modelling. | | Workplace productivity | Automating routine tasks, assisting with document drafting and summarising content. | | Decision making and administrative action | Informing performance and productivity improvement. No regulatory decisions are made by AI. | The table below illustrates how the AI usage patterns are applied within the domains where AI is used at the NDIS Commission: | Domain | Description | | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------- | | Service delivery | Supporting clear communication and timely responses. | | Compliance and fraud detection | Identifying anomalies to support compliance activities. | | Policy and legal | Assisting analysis and assurance in policy development and legal research. | | Scientific | Processing complex datasets to inform monitoring and research. | | Corporate and enabling | Improving internal operations (e.g. Finance and ICT) AI is not used to automate recruitment, selection, or employment related decision making. | ## AI governance We recognise the importance of robust governance, oversight and accountability. This helps us to ensure AI development and use is ethical and safe and delivers fit for purpose outcomes. We take a measured and cautious approach when exploring AI tools and techniques. We will closely monitor AI-enabled tools through governance processes, and take appropriate action, if intended benefits are not being realised or unintended consequences are arising. We only use AI in ways that maintain the security, privacy, transparency and ethical use of data. We always maintain appropriate human oversight. We continue to evolve our data governance as our maturity increases. We are expanding our policies and guidance to reference AI more directly. AI is evolving rapidly in an ever-changing technology environment. Therefore, we will continue to evaluate and change our data governance to ensure it remains fit for purpose. We will continue to train and develop our staff to ensure we use AI safely, responsibly and ethically. The NDIS Commission will adhere to the Digital Transformation Agency’s Policy for the Responsible Use of AI in Government (Version 2.0), ensuring safe and ethical AI governance. This commitment includes strategic adoption, operationalising responsible practices, clear accountability, and risk-based oversight. The policy is dynamic and will evolve alongside technological advancements, emerging best practices, and regulatory developments. ## Our Commitment The NDIS Commission is committed to using AI in a safe, responsible and transparent way. Our AI initiatives align with the APS values, AI Ethics Principles and are central to the public’s best interest. We will: - Comply with relevant legislation, regulations, frameworks, and best practice standards. - Continue to work closely with the DTA and use AI in accordance with applicable guidelines and new insights as they emerge. - Review this statement annually or when significant changes occur in our AI approach. ### Safe and Responsible AI Adoption We will be transparent as we adopt responsibly for the evolving AI technology and policy requirements. Our internal policies and guidance will align with the DTA’s Policy and emerging government standards, including mandatory guardrails for high-risk settings. These policies will cover governance, ethical use, security, record keeping, risk mitigation, and staff responsibilities. They will apply to all employees and contractors. ## Examples of how we use AI The NDIS Commission currently uses AI in the following system use cases, including: ### Microsoft 365 Copilot Chat: By integrating Microsoft 365 Copilot Chat, the NDIS Commission is enhancing staff productivity. Copilot leverages generative AI to help automate repetitive tasks, summarise documents, assist in drafting emails and reports, and assist with data analysis, with staff responsible for reviewing and finalising content. This enables staff to focus on higher-value work, make more informed decisions, and reduce time spent on manual processes. Classification system for AI use: workplace productivity usage pattern, corporate and enabling domain. ### Cloud‑based contact solution: The NDIS Commission is enhancing customer service through the adoption of a secure cloud‑based contact platform. This platform uses AI‑enabled speech and transcription functions to: - Convert written text to spoken language. - Transcribe audio conversations. - Assess customer sentiment. WThen the NDIS Commission implements AI capability, we will update this statement in accordance with the Policy. This statement will also be reviewed annually, when we make a significant change to our approach to AI, or when any new factor impacts this statementse capabilities enable the NDIS Commission to gain actionable insights, improve service quality, and optimise communication workflows. The result is a strengthened client experience, achieved through greater transparency, efficiency and responsiveness. Classification system for AI use: analytics for insights usage pattern, service delivery domain. ### Annotation of Text Documents This capability is currently scheduled for late February 2026. This AI use-case involves deployment of Large Language Models (LLMs) to process text documents, such as Complaints, Reportable Incidents, Audit Reports, etc. Our use of LLMs within this processing is limited to annotation of documents with summary information that supports further analysis. No regulatory decisions are made by the model, nor do the models make recommendations on possible regulatory actions. Information is processed in a secure internal environment. Examples of use include the following: - Identifying specific risk-indicators, such as a description within a Complaint indicating that a Participant was physically injured or that the Participant is a child. - Categorisation with regard to main topics or themes. - Extraction of entity names to identify relevant Providers or Workers. Annotations provided by an LLM may be used to identify records that are relevant to a user’s search, may be presented in a summary or detailed views used by regulatory officers as part of an assessment or investigation, and/or may be used as part of an aggregation for reporting or to inform macro-analysis. ### AI use through the browser This capability may be available via publicly accessible services; however, the NDIS Commission does not use browser-based AI to make, automate, or determine regulatory or compliance decisions. ## Updates and more information This transparency statement was created in February 2026. It will be updated to reflect changes in our approach to AI. For enquiries, please contact [CIOAI@ndiscommission.gov.au](mailto:CIOAI@ndiscommission.gov.au).
    aa4fa18
  3. first tracked +1381

    First tracked version.

    b7e2a3d