The vendor required to provide AI-assisted authoring and risk analysis, and a shared data model that connects requisitions, purchase orders, and contracts into a single source of truth.
- Contract data schema across modules (authoring, approvals, obligations), seamless handoffs (no re-keying or duplicate records), native workflow builder and API-first architecture, and integrated AI assistance.
- Solutions that integrate AI-driven authoring, clause management, redlining, and risk assessment within the same platform used for workflow routing, approval management, and system integrations are preferred.
- The university seeks to minimize the need for multiple point solutions or complex integrations and instead leverage a scalable, AI-enhanced orchestration platform that provides end-to-end visibility, analytics, and governance across the contracting process.
- Target operating model
1. Integrated contracting and orchestration capability – the respondent must offer either:
• Seamless linkage of requisition, purchase order, and contract records.
• Bi-Directional data flow between systems to eliminate manual re-entry.
• Ability to use cu’s existing intake engines, the vendor’s intake tools, or both.
• Compatibility with Jaggaer, PeopleSoft, OnBase, DocuSign and adobe sign, Infoed, and other cu enterprise systems.
• Exportable data and metrics
2. Workflow and automation
• Full visibility into all workflow steps, showing completed, active, and pending actions.
• Configurable automation for intake, routing, review, approval, signature and tracking.
• User-enabled, no-code workflow updates including routing, fields, and questions.
• Automation of templates, clauses, and request types across all contract categories.
• Real-time ability to reroute or escalate workflows without vendor or IT intervention.
3. AI and intelligence
• AI-assisted clause suggestions, summarization, risk flagging, redlining, and auto approval logic.
• AI-supported authoring that references previous agreements and playbooks.
• smart tagging and searchable contract repository with clear parent-child relationships.
• integration with cu’s service desk virtual assistant for data exchange and response generation.
• AI-supported drafting based on pre-designated templates (that have tables) and intake questions
• AI actions must include visibility of decision logic and provide confidence scores or audit trails.
4. User experience and accessibility
• Modern, intuitive user interface with a shallow learning curve.
• Accessible on desktop and mobile devices with consistent functionality.
• Contextual help, form validation, and clear visual indicators of workflow progress.
5. Governance, changeability and scalability
• Alignment across procurement and sponsored research (subaward grants and contracts), legal, fiscal, and security teams through shared visibility.
• Strong audit traceability across revisions and workflow actions.
• No reliance on vendor consultants for basic configuration changes after go-live.
• Platform built on modern, secure, and scalable codebase suitable for phased deployment.
• Support for modular adoption and expansion without disrupting existing operations.
- Budget: $6.3 billion
- Contract Period/Term: 3 years
- Optional Pre-Proposal Conference Date: December 12, 2025
- Questions/Inquires Deadline: December 19, 2025
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