SOH- **** Board ManagementSoftware - SOHT is seeking responses from suitably experienced, competent and skilled organisations to provide a Software as a Service ( SaaS) solution
Board management software as a service ( SaaS) Software as a service ( SaaS) solution for board management, including secure distribution of board/executive papers, meeting scheduling, circular resolutions, document annotation, and communications.
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Sydney Opera House Trust (SOHT) is seeking a Software as a Service (SaaS) solution for board management. The system should facilitate secure distribution of board papers, meeting scheduling, document annotation, and communication. The contract term is three years with potential for extensions. Submissions are due by 3pm on Wednesday, 26 August 2026, via the NSW Government online Buy NSW webpage. Mandatory requirements include prequalification to the **** ICT Services scheme and data hosting in Australia, preferably NSW. Evaluation will consider security, experience, capability, capacity, implementation, and price.
The closing date and time for quotation submissions is 3pm, Wednesday, 26 August 2026. quotation close date and time 3pm, 25 august 2026
Respondents will be assessed using scored evaluation criteria including non-price criteria (security, experience, capability, capacity, implementation) and price criteria. The rfq evaluation criteria is as follows: mandatory evaluation criteria . . . scored evaluation criteria . . . pricing criteria
Suppliers must be prequalified to the **** ICT Services scheme. Qualifications supplier must be prequalified to the: **** scheme: ict services
Event Weather Monitoring at Sydney Opera House - The Sydney Opera House is seeking responses from suitably experienced and skilled organisations to provide a tailored weather to analyse current weather conditions
Event weather monitoring system upgrade Event weather monitoring system upgrade at Sydney Opera House
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The Sydney Opera House is seeking an upgraded weather technology system to analyze current weather patterns and predict future weather for event and safety decision-making. The upgrade should include notification settings, thunder and lightning tracking, gust definition, additional zones and data, and other weather requirements. A tender briefing session is scheduled for Wednesday, 22 July, with attendance strongly encouraged. An optional briefing session will be held on Wednesday, 29 July, at 9:00 am, including a guided tour of key locations. Tenderers may need to be members of the ICT Services Scheme SCM0020. The closing date for responses is 10 August 2026, 3:00 pm.
The estimated timeframe for delivery is 4 weeks from contract award.
The evaluation assessment criteria include Experience, Innovation, Price, Capability, Methodology, Social Outcomes.
To be awarded this contract, you may need to be a member of the ICT Services Scheme ****.
A site tour of the relevant areas was conducted during the briefing session on 29 July. information and discussions that took place during the site tour are not captured in the attached presentation.
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.
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 in clinical, legal, communication, journalism, and oral assessment scenarios). Lot 2: Personalised learning study support ( AI assistants and study companions for adaptive support, concept clarification, course navigation, and on- demand explanation). Lot 3: Formative feedback writing support ( rubric- aligned feedback on student drafts and presubmission writing support). Lot 4: Learning design content creation ( staff- facing tools for designing learning activities, assessment items, agent orchestration, and multi- format media 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. This is an RFI only, with no commitment to award a contract or guarantee future work. QUT is interested in understanding market capabilities for four lots: immersive simulation, personalised learning support, formative feedback writing support, and learning design content creation. Key considerations include data sovereignty, Australian data residency, privacy, identity and access integration, auditability, and model lifecycle management. Pricing models, implementation, and support costs are also requested.
Responses to this RFI must be lodged by 5:00 PM AEST Brisbane time on 29 July 2026.
Core Systems Training and Process Documentation ( ****) - The Supplier must develop accurate, step- by- step operational manuals alongside high- quality user guides and training materials for internal and external users of the Customers Skills Connect platform. Once the Supplier has completed development of the operational manuals, the Supplier must develop modern user guides and training resources tailored for each stakeholder group
Core systems training and process documentation Development of accurate, step- by- step operational manuals and high- quality user guides and training materials for internal and external users of the Skills Connect platform.
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Tender for the development of operational manuals, user guides, and training materials for the Skills Connect platform. The supplier must create accurate, step-by-step manuals and high-quality user guides tailored for internal and external users. Service delivery is expected from October 2026 to June 2027. Tenders close on July 23, 2026. Evaluation criteria include relevant experience, proposed approach, delivery timeline, resourcing, price, and economic/social benefits.
Service delivery is expected to commence in October 2026 and conclude by June 2027, aligned with the Skills Connect go-live target date of 1 July 2027.
Tenders will be evaluated based on relevant experience and capability (20%), proposed approach and methodology (20%), delivery and timeline resourcing (15%), price (15%), and economic and social benefits (30%).
Tenderers must comply with conditions for participation, including not being an externally administered body corporate or an insolvent under administration, and having the corporate power to enter into and perform the contract.
The RFT states there is o right to inspect sites relevant to delivery of deliverables except in accordance with an arranged site inspection, which the customer may refuse.
A tenderer may lodge a complaint if they believe the RFT process has not complied with Tasmanian Government procurement policies. Further information is available from the Tasmanian Government Purchasing website.
A tender may be excluded if the tenderer has breached the RFT, has deficiencies in prior contract performance, or if accepting the tender would result in an unacceptable contract outcome or pose unacceptable risks.
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