KNPC R&D/T Roadmap· AI-Enhanced · FY 2022–2027
Prototype Demo128 Projects · 4 Platforms · 19 Programs
Section 2.0

Development of the KNPC R&D/T Roadmap

The Roadmap development process followed a structured 9-step approach, modified from KPC guidelines to optimize for KNPC's organizational structure. The AI Agent layer replaces manual data collection and workshop-based challenge identification — saving time while improving accuracy.

254
Challenges Identified
in workshops
128
Projects Validated
incorporated
4
Platforms
Process, PI, HSE, NAT
19
Programs
across all platforms
Step 1

Stakeholder Engagement

Nominate focal points from all departments

Focal points were nominated from 9 stakeholder departments: Corporate Planning, MOG, Technical Services, Quality Assurance, HSE, Maintenance, Operations, LMD, and KAFCO. Each focal point acted as a champion within their division to source pertinent challenges.

OperationsTechnical ServicesMaintenanceHSEQuality AssuranceCorporate PlanningLMDKAFCOMOG
AI Enhancement: AI automatically reads operational data from all departments — no manual coordination required.
Step 2

Top Management Interviews

Strategic insights from DCEOs and Managers

Engagement with Top Management was facilitated to seek their insights into the overall R&T strategy. Interviews were conducted with DCEOs and Managers, with pre-read documents shared ahead of meetings and a post-interview survey conducted to statistically analyze views.

AI Enhancement: AI reads corporate strategy documents, KPIs, and LTSP 2040 targets automatically to align challenges with management priorities.
Step 3

Literature Surveys

Global refining R&T trends analysis

R&T conducted independent literature surveys on focus areas by other refining companies to determine if these R&D areas were worth pursuing by KNPC. KPC R&T facilitated two workshops on the latest trends in the refining industry.

AI Enhancement: AI continuously monitors global refining trends, patent databases, and industry publications to surface relevant emerging technologies.
Step 4AI Transforms This Step

Brainstorming Workshops

254 challenges identified across all groups

Several workshops were conducted with nominated groups resulting in the identification of 254 challenges. Focal points from each Department/Division were engaged individually to identify challenges specific to their division needs.

AI Enhancement: AI analyzes incident reports, bad actor lists, equipment failures, environmental exceedances, and shutdown costs to automatically surface challenge candidates — replacing manual workshop sessions.
Step 5

Validation Workshops

Challenges validated for KNPC relevance

Validation workshops were conducted with the stakeholder Departments to ensure the challenges are relevant to the KNPC business portfolio and also considers the remit of the R&T Department within KNPC.

AI Enhancement: The Committee (R&T + Stakeholders) reviews AI-suggested challenges. Human expertise remains central — AI suggests, Committee decides.
Step 6

Challenge Screening

Reduced from 254 to 128 validated projects

A total of 128 projects were incorporated in the R&D/T Roadmap after screening. Additionally, 13 projects approved during the 2018 Roadmap Streamlining activity were also included in this version.

AI Enhancement: AI pre-screens challenges against KPI gaps and business impact criteria, reducing the manual screening effort significantly.
Step 7AI Transforms This Step

Project Prioritization

Business Impact × Doability matrix

Each project was prioritized based on Business Impact (HSE Improvement + Financial Performance + Strategic Alignment) and Doability (Technology Readiness Level + Timing + Study Cost + Barriers to Implementation).

AI Enhancement: AI automatically scores each challenge on both axes using real operational data, producing an objective prioritization matrix without manual scoring sessions.
Step 8

Project Charters

Developed for each of 128 projects

Project charters were developed for each identified project, incorporating: business challenge, project description, objectives, prioritization matrix, and expected execution timeline based on project phasing.

AI Enhancement: AI drafts initial project charter templates pre-populated with data from incident reports, cost records, and KPI gaps — engineers review and finalize.
Step 9

5-Year Phasing

FY 2022/23 – FY 2026/27 execution plan

Projects were phased over the five-year period based on project prioritization. The project charters establish the phased approach of study execution to enable appropriate allocation of resources.

AI Enhancement: AI continuously tracks project execution progress and updates the dashboard in real time — replacing manual tracking spreadsheets.