Application Control - Queensland Treasury seeks to procure and implement an enterprise- grade Application Control solution that enables organisation- wide enforcement of the ASD Essential Eight Application Control strategy across all supported endpoint and server platforms, as well as align with the Information Security Manual ( ISM). The Customer has issued this Invitation to Offer with the objectives of achieving consistent application control enforcement across all endpoints and improved cyber resilience
enterprise- grade application control solution application control software, implementation services
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Queensland Treasury seeks an enterprise?grade application control solution to enforce the ASD Essential Eight strategy across all endpoints and servers, deliver high availability and scalability, integrate with existing security tools, and be operational by 30 June 2027. The offer includes implementation services and requires compliance with security standards such as ISO **** and SOC 2.
proposed solution is required to be deployed, configured, tested and transitioned into operational support by 30 June 2027.
Application Control - Queensland Treasury seeks to procure and implement an enterprise- grade Application Control solution that enables organisation- wide enforcement of the ASD Essential Eight Application Control strategy across all supported endpoint and server platforms, as well as align with the Information Security Manual ( ISM). The Customer has issued this Invitation to Offer with the objectives of achieving consistent application control enforcement across all endpoints and improved cyber resilience
enterprise- grade application control solution
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Queensland Treasury seeks an enterprise?grade application control solution to enforce the ASD Essential Eight across all endpoints and servers, integrate with existing security tools, deliver high availability, and be operational by 30 June 2027.
"closing date for offers 5pm, 2 November 2026 AEST"
"supplier query cutoff Monday 26 October 2026 04:00 am E. South America Standard Time"
EOI- 6 Development AssessmentTransformation and AI - Development Assessment Transformation and AI
Development Assessment Transformation and AI Enablement AI- enabled tools, platforms, and capabilities for the development assessment lifecycle, including pre- lodgement, lodgement, workflow management, referral, assessment, determination, and post- determination. Solutions for document classification, extraction, summarisation, analysis, completeness checking, pre- assessment screening, lodgement validation, automated correspondence drafting, report generation, AI triage, risk flagging, complexity scoring, workflow intelligence, referral routing, predictive timeline tools, applicant- facing assistants, chatbots, guided self- service tools, GIS- based zoning, constraints, and spatial analysis with AI capability, and natural language querying of DA data and records. Integration with existing council systems such as TechnologyOne, Objective Trapeze, NSW Planning Portal, Microsoft Azure, Microsoft 365, and Esri GIS environments.
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Inner West Council is seeking Expressions of Interest (EOI) for Development Assessment Transformation and AI Enablement. This is the first stage of a two-stage procurement process to identify and shortlist respondents for a future Request for Tender (RFT) or Request for Quotation (RFQ). The project aims to modernize the Development Assessment (DA) function using AI and intelligent automation to improve service delivery, enhance community engagement, and increase operational efficiency. Key areas of focus include processing high volumes of applications, improving document handling, streamlining internal referral workflows, reducing administrative overhead, enhancing statutory compliance, and improving applicant transparency. Solutions should integrate with existing council systems and adhere to ethical AI principles. The closing date for submissions is 30 August 2026 at 10:00 PM. Data must be hosted within Australia. Evaluation criteria include architecture, integration, user experience, business benefits, implementation approach, capability uplift, AI governance, and commercial model.
The closing date for submissions is 30 August 2026 at 10:00 PM.
EOIs will be evaluated based on architecture quality and clarity, integration feasibility, user experience and workflow fit, demonstrated business benefits, implementation approach and delivery methodology, capability uplift and knowledge transfer approach, AI governance maturity, and commercial model and transparency.
Respondents must provide a company profile, proposed methodology, proposed schedule, list of key personnel, proposed key subcontractors, experience, and a modern slavery act checklist. They must also confirm their ability to provide specific insurances.
An incomplete EOI may be disqualified. Breach of ethical standards may entitle the council to disqualify the EOI and recover losses.
EOI- 6 Development Assessment Transformation and AI - Development Assessment Transformation and AI
Development Assessment Transformation and AI Enablement AI- enabled tools, platforms, and capabilities for the development assessment lifecycle, including pre- lodgement, lodgement, workflow management, referral, assessment, determination, and post- determination. Solutions for document classification, extraction, summarization, analysis, completeness checking, pre- assessment screening, validation, automated correspondence drafting, report generation, AI triage, risk flagging, complexity scoring, workflow intelligence, referral routing, predictive timeline tools, applicant- facing assistants, chatbots, guided self- service tools, GIS- based zoning, constraints, and spatial analysis with AI capability, and natural language querying of DA data and records. Integration with existing council systems such as TechnologyOne, Objective Trapeze, NSW Planning Portal, Microsoft Azure, Microsoft 365, and Esri GIS environments.
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Inner West Council is seeking Expressions of Interest (EOI) for AI-enabled tools and platforms to transform its Development Assessment (DA) function. This is the first stage of a two-stage procurement process. The goal is to modernize and enhance DA processes, improve outcomes for applicants and staff, and increase operational efficiency. Key areas of focus include document processing, lodgement validation, automated correspondence, workflow intelligence, applicant-facing tools, and spatial analysis. Solutions must integrate with existing council systems and adhere to Australian data residency, ethical AI, privacy, and security standards. The closing date for submissions is 30 August 2026. Shortlisted respondents will be invited to a Request for Tender (RFT) stage.
The closing date for submission of EOIs is 10:00 PM on 30 August 2026.
The evaluation criteria include Architecture Quality and Clarity, Integration Feasibility, User Experience and Workflow Fit, Demonstrated Business Benefits, Implementation Approach and Delivery Methodology, Capability Uplift and Knowledge Transfer Approach, AI Governance Maturity, and Commercial Model and Transparency.
Respondents must provide a company profile, proposed methodology, proposed schedule, list of key personnel, proposed key subcontractors, experience, and a modern slavery act checklist.
No project briefing is required as the time, date, and location are not applicable.
Supplier query cutoff is Tuesday 25 August 2026, 09:00 AM E. South America Standard Time.
An incomplete EOI may be disqualified. Breach of ethical standards may entitle the council to disqualify the EOI and recover losses.
REALAI in Learning and Teaching - Queensland University of Technology ( QUT) is seeking early market insights on enterprise- grade GenAI SaaS tools for Learning and Teaching ( Stream 2). This activity supports the REAL AI project to identify, evaluate and procure external Artificial Intelligence tools that address 48 validated use cases not served by QUT s internal Cogniti platform ( Stream 1). The procurement will assess vendor solutions against validated functional requirements across pedagogy, privacy, d
Enterprise- grade Generative AI SaaS tools for learning and teaching Lot 1: Immersive simulation roleplay ( conversational and multimodal AI agents for skills practice); Lot 2: Personalised learning study support ( AI assistants and study companions); Lot 3: Formative feedback writing support ( rubric- aligned feedback on student drafts); Lot 4: Learning design content creation ( staff- facing tools for designing learning activities and content)
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Queensland University of Technology (QUT) is seeking market insights for enterprise-grade Generative AI SaaS tools for learning and teaching. This RFI supports the Real AI project to identify AI tools for use cases not covered by QUT's internal Cogniti platform. The procurement will assess vendor solutions against requirements for pedagogy, privacy, data sovereignty, security, integration, and cost-effectiveness. Responses are due by 5:00 PM AEST on July 29, 2026. QUT is not seeking information on Stream 1 Cogniti platform costs, AI tools for research, Microsoft 365 Copilot replacement, or AI for administrative operations. All tools must be procured as SaaS services. QUT is interested in four capability lots: immersive simulation roleplay, personalized learning study support, formative feedback writing support, and learning design content creation. Responses must be lodged electronically via the Queensland Government VendorPanel website.
Responses to this RFI must be lodged by 5:00 PM AEST Brisbane time on 28 July 2026. any response not appropriately lodged by the specified closing date and time may be rejected at the discretion of qut.
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