| Phase | Responsible | Accountable | Consulted | Informed |
|---|---|---|---|---|
| 1. Discovery | Architecture Team | Executive Director | Vendor PartnersResearch Institutions | ICT Leadership |
| 2. Assessment | Senior Architects | Executive Director | Risk & ComplianceSecurity | Portfolio Directors |
| 3. Evaluation | Technical Specialists | Executive Director | CybersecurityBusiness Stakeholders | Finance |
| 4. Business Case | Executive Director | CIO | FinanceProcurement | ICT Leadership |
| 5. Proof of Concept | Project Lead | Executive Director | End UsersVendors | CIO |
| 6. Governance | Executive Director | CIO | Governance BoardLegal | VP Operations |
| 7. Implementation | Implementation Team | Executive Director | All ICT Portfolios | End Users |
| 8. Review | Project Team | Executive Director | Business Owners | ICT LeadershipVP Operations |
Emerging Technology Research Process
Strategic framework for technology evaluation, proof of concept, and enterprise integration
Aligned to: Executive Director, Emerging Technology and Enterprise Architecture
Executive Summary
This document defines the end-to-end business process for researching, evaluating, and implementing emerging technologies within the University's ICT ecosystem. The process ensures strategic alignment with University objectives while maintaining appropriate governance, risk management, and return on investment.
Critically, this process is the enabler for rapid integration capabilities. When a new opportunity arrives—an international research collaboration, a funding body requirement, a strategic partnership—the patterns, templates, and AI-assisted tooling produced by this process allow us to respond in weeks rather than months. The coin drops in the slot, and the machinery works.
- Eight-phase lifecycle from discovery through to benefits realisation
- Three governance gates ensuring appropriate oversight and resource allocation
- Clear accountability model with Executive Director as process owner
- Reusable pattern library producing pre-approved integration templates and AI-assisted development tools
- Continuous improvement loop feeding learnings back into technology radar
Process Overview
End-to-End Process Flow
Discovery"] end subgraph P2[" "] B["2
Assessment"] end subgraph P3[" "] C["3
Evaluation"] end subgraph P4[" "] D["4
Business Case"] end subgraph P5[" "] E["5
Proof of Concept"] end subgraph P6[" "] F["6
Governance"] end subgraph P7[" "] G["7
Implementation"] end subgraph P8[" "] H["8
Review"] end P1 --> P2 --> P3 --> P4 --> P5 --> P6 --> P7 --> P8 P8 -.->|"Continuous
Improvement"| P1 style P1 fill:#FBEEE2,stroke:#E64626,stroke-width:2px style P2 fill:#FBEEE2,stroke:#E64626,stroke-width:2px style P3 fill:#FBEEE2,stroke:#E64626,stroke-width:2px style P4 fill:#FBEEE2,stroke:#424242,stroke-width:2px style P5 fill:#FBEEE2,stroke:#424242,stroke-width:2px style P6 fill:#FBEEE2,stroke:#424242,stroke-width:2px style P7 fill:#FBEEE2,stroke:#424242,stroke-width:2px style P8 fill:#FBEEE2,stroke:#424242,stroke-width:2px
Example: Consider a major EU Horizon Europe research collaboration requiring secure data exchange across six partner institutions in five countries. Rather than building custom integrations from scratch, this process has already produced GDPR-compliant data exchange patterns, federated identity templates, and AI-assisted API generation tools. The collaboration requirement "drops the coin in the slot"—the patterns flow through, and what would have taken eight months now takes six weeks.
Phase Details
Click any phase to expand its details. Phases are exclusive—opening one will close the others.
1
Discovery & Horizon Scanning
Ongoing / Quarterly review
Discovery & Horizon Scanning
Ongoing / Quarterly review- Monitor industry trends and digital developments in higher education
- Track technology vendor roadmaps and innovations
- Identify opportunities for AI-assisted development and pattern automation
- Engage research institutions for collaboration opportunities
- Maintain technology radar and watchlist
2
Initial Assessment
2–4 weeks
Initial Assessment
2–4 weeks- Assess strategic alignment with University 2032 Strategy
- Conduct preliminary impact assessment
- Initial risk and compliance screening
- Prioritise against current ICT roadmap initiatives
3
Detailed Evaluation
4–8 weeks
Detailed Evaluation
4–8 weeks- Technical feasibility and architecture integration analysis
- Security, data privacy and compliance review (including cross-jurisdiction requirements)
- Assess contribution to reusable pattern library and AI-assisted tooling
- Cost-benefit and total cost of ownership analysis
- Stakeholder impact assessment
AI-assisted analysis and documentation can accelerate this phase by 20–30% when evaluating technologies with existing reference implementations.
4
Business Case & Approval
2–4 weeks
Business Case & Approval
2–4 weeks- Develop comprehensive business case with ROI analysis
- Define resource and budget requirements
- Present to ICT Leadership Team
- Obtain budget allocation for Proof of Concept
5
Proof of Concept
6–12 weeks
Proof of Concept
6–12 weeks- Define PoC scope and measurable success criteria
- Assemble cross-functional pilot team
- Execute controlled pilot with performance monitoring
- Test AI-assisted development approaches and code generation where applicable
- Document lessons learned and validate assumptions
AI-assisted code generation can reduce development effort by 30–50% for integration work, though validation and debugging time should be factored in.
6
Governance Review
2–4 weeks
Governance Review
2–4 weeks- Present PoC results to governance bodies
- Final compliance and risk review
- Obtain senior leadership approval
- Update ICT strategy and roadmap
7
Implementation & Integration
Variable (project dependent)
Implementation & Integration
Variable (project dependent)- Detailed implementation planning and architecture updates
- Publish reusable patterns to enterprise pattern library (API specifications, integration templates, compliance controls)
- Execute phased rollout with change management
- Staff training and capability development
- System integration and data migration
Implementation leveraging existing patterns and AI-assisted tooling can achieve 50–70% time reduction compared to custom development.
8
Review & Continuous Improvement
Ongoing post-implementation
Review & Continuous Improvement
Ongoing post-implementation- Post-implementation review against success criteria
- Performance metrics and benefits realisation assessment
- Validate pattern reusability—each implementation should accelerate the next
- Knowledge sharing across ICT portfolios
- Feed insights back into technology radar
Governance Framework
Process Owner
Executive Director, Emerging Technology and Enterprise Architecture
Approval Authority
Chief Information Officer (Gate 2 & 3)
ICT Leadership Team (Gate 1)
Review Cycle
Annual process review
Quarterly technology radar update
Accountability Matrix (RACI)
Alignment to Position Responsibilities
This process directly supports the following accountabilities defined in the Executive Director, Emerging Technology and Enterprise Architecture position description:
Anticipate and advise on emerging technologies and digital trends in higher education
Oversee strategic development of architecture guidelines, frameworks and templates
Lead research into emerging technologies and oversee pilot projects and proof-of-concept initiatives
Develop strategic partnerships with technology vendors and research institutions
The ultimate measure of this process is not how many technologies we evaluate, but how quickly we can respond when opportunity arrives. Each iteration through this lifecycle should produce patterns, templates, and tools that accelerate the next integration—whether it's a research collaboration, a funding body requirement, or a strategic partnership. The process is the enabler; the patterns are the product.