Enterprise Content Management/ Information Governance
Prj_ **** - Document Management Solutions - This RFI is seeking to secure information from the market to support the replacement of icares current, disparate document management systems with a single, modern, and unified Enterprise Content Man
Document Management System ( DMS) replacement Supply, implementation, and migration services for a new DMS solution, including software provision ( SaaS, cloud- hosted, or on- premises), professional services for implementation, configuration, and deployment, consolidation and migration of documents, metadata, and retention policies from existing systems ( Hyland, OpenText, Tungsten Automation), knowledge transfer, training, and ongoing support and maintenance.
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This RFI seeks market information to replace icare's current disparate document management systems with a single, modern, unified enterprise content management (ECM) or document management system (DMS) platform. The goal is to consolidate information across Hyland, OpenText, and Tungsten Automation systems for operational and cost efficiencies. The scope includes software provision (SaaS, cloud, or on-premises), implementation, configuration, deployment, migration of documents, metadata, and retention policies, knowledge transfer, training, and ongoing support. A mandatory scheme membership (**** Information and Technology Cloud Products and Support) may be required. The submission deadline was extended. Evaluation criteria include capability, methodology, price, organizational capacity, experience, innovation, and compliance.
The RFI submission deadline was extended. Please see the attached document for more details.
The general assessment criteria used to evaluate this opportunity include capability, methodology, price, organisational capacity, experience, innovation, and compliance.
To be awarded this contract, you may need to be a member of the ICT Services Scheme ****.
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.
Content Management/ Information Governance/ Content Repositories/ Content Discovery/ Data Governance
AI solution for discovering, classifying, and providing secure searches across content repositories - Snowy Monaro Regional Council is seeking proposals for a software solution capable of discovering, classifying, governing, and providing secure search capabilities across all organisational content repositories. The objective of this procurement is to: Identify sensitive information ( PII and regulated data) across all repositories Improve information governance and records management compliance Reduce redu
Content Management/ Information Governance/ Content Repositories/ Content Discovery/ Data Governance
AI solution for discovering, classifying, and providing secure searches across content repositories - Snowy Monaro Regional Council is seeking proposals for a software solution capable of discovering, classifying, governing, and providing secure search capabilities across all organisational content repositories. The objective of this procurement is to: Identify sensitive information ( PII and regulated data) across all repositories Improve information governance and records management compliance Reduce redu
AI solution for discovering, classifying, and providing secure searches across content repositories
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Snowy Monaro Regional Council is seeking proposals for a software solution to discover, classify, govern, and securely search content across all organizational repositories. The solution should identify sensitive information (PII), improve information governance and compliance, reduce ROT data, provide unified search, support defensible disposition, and enable better privacy compliance and FOI response readiness. The platform must operate across existing repositories without migration. Key capabilities include enterprise content discovery, sensitive data detection, ROT analysis, records governance, federated enterprise search, AI-assisted classification, and governance dashboards. The solution must align with NSW Government security and privacy requirements and operate with minimal disruption. Vendors must provide details on their proposed solution, compliance, implementation methodology, deployment architecture, licensing, timeline, support, and government customer references.
The supplier query cutoff date is Tuesday 21 April 2026 04:00 am E. South America Standard Time.
The estimated value for this bid is between $25,000 and $50,000.
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