Petronas AI Transformation Program | AITraining2U

Confidential Proposal

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Confidential Proposal — Prepared for Petronas

Full-Stack AI Pilot
Upstream to Downstream

An end-to-end AI capability pilot designed for Petronas — from business-user automation to deep engineering and multi-agent orchestration. Equip up to 74 key staff across operations, engineering, and digital teams with hands-on AI skills for upstream, downstream, retail, and shared-services use cases. Start small, measure impact, then scale organization-wide.

100% HRD Corp (HRDC) Claimable Under SBL-Khas

4
Training Pillars
74
Staff Trained
100%
HRDC Claimable
8
Training Days
The Challenge

Why O&G AI Transformation Fails

In oil & gas, AI pilots stall when business users, engineers, and tech leads work from different playbooks. The result: disconnected proofs-of-concept, wasted HRDC levies, and little production impact across upstream, downstream, and retail operations.

Business Users Left Behind

Finance, procurement, HSE, and operations teams don't know how to safely apply AI to their daily workflows — so SAP, ERP, and document-heavy processes stay manual.

Digital Teams Ship Too Slowly

Retail, lubricants, and B2B digital teams take months to validate ideas — prototypes for station ops, customer journeys, and stakeholder dashboards get stuck in backlogs.

Engineering & Orchestration Gaps

Core engineering teams are unfamiliar with production AI frameworks, MLOps on cloud, and multi-agent orchestration — so enterprise-scale AI deployments rarely leave the POC phase.

Delivery Methodology

Deploy → Measure → Scale

An impact-first approach. Deploy four focused pillars across business users, digital teams, and core engineering, measure the O&G-specific business outcomes, then scale organization-wide based on evidence, not theory.

Scale Measure Deploy
01

Deploy

Train four focused cohorts and deploy real AI agents, prototypes, production pipelines, and orchestrated workflows inside priority O&G use cases within weeks, not months.

Pillars 1–4: Automation + Vibe Coding + Engineering + Orchestration

02

Measure

Track barrels equivalent — hours saved, cycle-time reduction, prototypes shipped, pipelines deployed. Quantify ROI against a clear baseline over the 3-month post-training support window.

Included 3 months post-training support + impact review

03

Scale

Only after measurable impact is proven, we jointly propose the next phase — wider cohort rollout, AI governance, or AI security & data protection — sized to what the evidence justifies.

Future phases proposed only after pilot impact is measured

The Pilot Program

4 Pillars to Power Petronas AI

A full-stack AI capability pilot built around four high-ROI pillars — from business-user automation to deep engineering and multi-agent orchestration. Equip operators, digital teams, engineers, and tech leads to unlock AI use cases across upstream, downstream, retail, lubricants, petrochemicals, and shared services.

01
Pillar 1 — Deploy Layer

AI Agentic Automation via N8N

Transform finance, operations, and shared-services teams into AI-ready operators. Participants build real AI agents using n8n that automate their own department workflows — from financial reconciliation and reporting to procurement, HSE compliance, and upstream/downstream operational workflows.

Build AI agents with n8n (no-code/low-code)
Financial reconciliation & management reporting automation
Integrate with SAP, ERP & enterprise operations systems
Document processing, OCR & HSE/contract automation
Procurement, vendor & tender management workflows
Access to 700+ ready-to-deploy Supern8n templates
Target Audience

Finance, Operations, Procurement, HSE & Process Owners

Duration

2-Day Hands-on Workshop

Pilot Pax

1 Cohort of up to 35 pax

Scale to additional cohorts after impact is measured.

View Course Details
02
Pillar 2 — Deploy Layer

AI Vibe Coding & Rapid Prototyping

Empower digital, marketing, retail, and business innovation teams to rapidly prototype and build functional AI-powered applications without traditional coding. Build internal operations dashboards, retail & customer-facing tools, and stakeholder reporting apps in days instead of months.

Build apps using AntiGravity, Claude Code & AI tools
AI-powered campaigns for retail, lubricants & B2B
Rapid prototyping for operations & station dashboards
Stakeholder reporting apps & KPI monitoring tools
Idea-to-prototype validation in hours, not months
Deploy live apps by end of 2-day workshop
Target Audience

Digital, Marketing, Retail & Business Innovation Teams

Duration

2-Day Hands-on Workshop

Pilot Pax

Half Cohort (up to 13 pax)

Small group for focused prototyping. Scale to full cohort after impact is measured.

View Course Details
03
Pillar 3 — Deploy Layer

AI Engineering for Production (AWS)

Equip core engineering and data teams to build, deploy, and maintain production-grade AI systems on AWS. Participants go deep on RAG, LLM Ops, and secure deployment patterns — wiring AI into upstream data pipelines, downstream predictive maintenance, refinery intelligence, and retail analytics at Petronas scale.

Production RAG over internal O&G knowledge bases
LLM Ops, evaluation & observability on AWS Bedrock
Upstream data pipelines & seismic/drilling analytics
Downstream predictive maintenance & refinery intelligence
Enterprise guardrails, PII handling & prompt security
CI/CD for AI: versioning, eval-gating & rollback
Target Audience

Core Engineering, Data, MLOps & Platform Teams

Duration

2-Day Hands-on Workshop

Pilot Pax

Half Cohort (up to 13 pax)

Small, senior group for production AI builders. Scale after impact is measured.

View Course Details
04
Pillar 4 — Deploy Layer

AI Orchestration & Multi-Agent Systems

Train tech leads and solution architects to orchestrate fleets of AI agents across complex, multi-site O&G operations. Participants learn Claude Code, multi-agent design patterns, and human-in-the-loop workflows — wiring AI into tender orchestration, cross-plant operations, HSE incident response, and enterprise SAP/ERP choreography.

Claude Code + sub-agent orchestration at scale
Multi-agent patterns: planner, executor, reviewer
Cross-plant operations & refinery choreography
Human-in-the-loop & HSE incident response flows
Tender, contract & procurement orchestration
MCP servers & enterprise tool integration (SAP, ERP)
Target Audience

Tech Leads, Solution Architects & Senior Developers

Duration

2-Day Hands-on Workshop

Pilot Pax

Half Cohort (up to 13 pax)

Senior tech leads who will cascade orchestration patterns to wider engineering once impact is measured.

View Course Details
Phase 2 — Scale After Impact

Deferred Pillars: Governance & Security

AI Strategy & Governance and AI Security & Data Governance are intentionally not in this pilot — they are most valuable once the four core build-capability pillars have produced measurable impact. We propose them in Phase 2 — sized to the evidence — so Petronas only invests in what the pilot justifies.

Program Summary at a Glance

Pillar Program Audience Duration Post-Training Support Est. Pax
01 AI Agentic Automation (n8n) Finance, Ops, Procurement & HSE 2 Days 3 Months Up to 35
02 AI Vibe Coding & Prototyping Digital, Marketing, Retail & Lubricants 2 Days 3 Months Up to 13 (half cohort)
03 AI Engineering (AWS) Core Engineering, Data & MLOps 2 Days 3 Months Up to 13 (half cohort)
04 AI Orchestration & Multi-Agent Tech Leads & Solution Architects 2 Days 3 Months Up to 13 (half cohort)
Suggested Rollout

Lean Pilot Timeline

An 8-week training rollout across the four pillars, followed by a 3-month impact measurement window. Only then do we jointly propose Phase 2 scaling — sized to the evidence.

P1
Weeks 1-2

Agentic Automation Cohort

2-day hands-on workshop for up to 35 finance, operations, procurement, and HSE staff. Participants deploy live AI agents for their own reconciliation, reporting, tender, and compliance workflows.

P2
Weeks 3-4

Vibe Coding Half-Cohort

2-day workshop for up to 13 digital, marketing, retail, lubricants, and innovation staff. Teams prototype real solutions for operations dashboards, retail & customer journeys, and stakeholder reporting tools.

P3
Weeks 5-6

AI Engineering Half-Cohort

2-day workshop for up to 13 core engineering, data, and MLOps staff. Teams ship production-grade RAG and LLM Ops pipelines on AWS for upstream analytics, downstream predictive maintenance, and refinery intelligence.

P4
Weeks 7-8

AI Orchestration Half-Cohort

2-day workshop for up to 13 tech leads and solution architects. Teams stand up multi-agent orchestrations (Claude Code + MCP) for tender orchestration, cross-plant operations, and HSE incident response.

Months 3-5 (Included Post-Training Support)

Measure Impact

3 months of post-training support included. Track hours saved, cycle-time reduction, prototypes shipped, pipelines deployed, and orchestrations in production against a defined baseline. End with a joint impact review session.

Month 5 Onward (Only If Impact Is Proven)

Scale Proposal

Based on measured impact, we jointly propose Phase 2 — which may include wider cohort rollout across business units, AI Strategy & Governance, or AI Security & Data Governance. Scope and pricing sized to evidence.

Expected Impact

Target Outcomes

Measurable pilot outcomes Petronas can expect within the 3-month post-training measurement window — the evidence that informs Phase 2 scaling.

10+ AI Agents Deployed

Automation cohort deploys live n8n agents into finance, procurement, tender, and HSE workflows — each participant leaves with at least one production agent wired into SAP/ERP.

10x Faster Prototyping

Digital, marketing, retail, and lubricants teams ship internal operations tools and customer-facing prototypes in days instead of months.

Production AI Pipelines on AWS

Engineering cohort ships RAG + LLM Ops pipelines with eval gating into upstream analytics, downstream predictive maintenance, or refinery intelligence use cases.

Multi-Agent Orchestrations Live

Tech-lead cohort stands up Claude Code + multi-agent orchestrations for tender choreography, cross-plant operations, or HSE incident response with human-in-the-loop.

Up to 74 AI-Ready Staff

A full-stack seed cohort of operators, prototypers, engineers, and orchestrators who can teach, coach, and expand the capability once Phase 2 is approved.

Baseline-to-ROI Report

Documented before/after metrics on hours saved, cycle-time reduction, prototypes shipped, pipelines deployed, and orchestrations in production — the evidence base for Phase 2 decisions.

Pilot Investment

Full-Stack Pilot Investment

A full-stack AI capability pilot across business users, digital teams, core engineering, and tech leads. Adjust cohort size to simulate your investment. 100% HRDC claimable, and each cohort includes 3 months of post-training support. Scale proposal comes later — priced to the measured outcome.

01

AI Agentic Automation (n8n)

2-Day Workshop
RM75,000 / cohort

Up to 35 pax per cohort. Includes 3 months post-training support.

Cohorts
1
Subtotal: RM75,000
HRDC Claimable
02

AI Vibe Coding & Prototyping

2-Day Workshop
RM75,000 / full cohort

Half cohort (up to 13 pax) default — priced at RM37,500. Scale to full cohort after impact is measured. Includes 3 months post-training support.

Cohorts
0.5
Subtotal: RM37,500
HRDC Claimable
03

AI Engineering (AWS)

2-Day Workshop
RM85,000 / full cohort

Half cohort (up to 13 pax) default — priced at RM42,500. Senior engineering group. Includes 3 months post-training support.

Cohorts
0.5
Subtotal: RM42,500
HRDC Claimable
04

AI Orchestration & Multi-Agent

2-Day Workshop
RM85,000 / full cohort

Half cohort (up to 13 pax) default — priced at RM42,500. Senior tech leads group. Includes 3 months post-training support.

Cohorts
0.5
Subtotal: RM42,500
HRDC Claimable
HRDC Claimable
RM197,500

Claimable via SBL-Khas

Net cost to company: RM0

Total Pilot Investment
RM197,500

Four Pillars, 100% HRDC

100% HRDC claimable

* All prices in Malaysian Ringgit (RM) and are subject to +8% SST. Each training pillar includes 3 months of post-training support. Scale-up pricing is proposed separately, only after the pilot's measured impact is reviewed.

Complimentary — FOC

3 x 1.5-Hour Strategy & Scale Sessions

Included free of charge for Petronas. Three focused working sessions with the AITraining2U team to guide the change-management side of this pilot — outlining the strategy, execution plan, and scaling path alongside the training delivery.

Session 1

Strategy Alignment

Define pilot priorities, target workflows, and the measurement baseline with leadership.

Session 2

Execution Playbook

Mid-pilot review: unblock cohort adoption, refine workflow selection, and tune change-management tactics.

Session 3

Scale Plan

Review measured impact and co-design the Phase 2 scale roadmap — sized to evidence.

Total 4.5 hours of dedicated strategy & change-management advisory — included at no additional cost.

Pilot Audience

Who Joins the Pilot

Pillar 1 — AI Agentic Automation

Up to 35 staff from Finance, Operations, Procurement, HSE, and Process Owners — the teams whose daily workflows absorb the most manual effort today.

Pillar 2 — AI Vibe Coding & Prototyping

Up to 13 staff from Digital, Marketing, Retail, Lubricants, and Business Innovation — teams that need to ship internal dashboards and customer-facing prototypes quickly.

Pillar 3 — AI Engineering (AWS)

Up to 13 staff from Core Engineering, Data, MLOps, and Platform Teams — senior builders who take AI pilots into production for upstream, downstream, and retail systems.

Pillar 4 — AI Orchestration & Multi-Agent

Up to 13 staff from Tech Leads, Solution Architects, and Senior Developers — the people who will choreograph AI across plants, business units, and enterprise systems.

AITraining2U Advisory Support

3 months of post-training consulting included. Participants can escalate blockers, architecture questions, and workflow design decisions to our team throughout the measurement window.

Measurable Outcome

30 AI Use Cases Rolled Out

Pilot target: at least 30 real AI workflows, prototypes, pipelines, or orchestrations deployed into production use across the four cohorts, with AITraining2U consulting support throughout rollout.

Measurement Dimensions

Time Saved

Hours/week reclaimed per workflow

Money Saved

Direct cost avoided per deployment

Replacement Foregone

Headcount/vendor hires avoided

Accuracy Uplift

Error-rate reduction vs. baseline

Sales Uplift

Incremental revenue from prototypes, conversion lift, or enablement tools shipped

Each of the 30 use cases is measured on whichever dimensions apply, captured in the baseline-to-ROI report at the end of the 3-month window.

Employer Assurance

100% HRD Corp
Claimable

Both pilot pillars are fully covered under the SBL-Khas scheme. Petronas can utilize your existing HRDC levy to fund the entire pilot with zero out-of-pocket cost — and only commit to scaling after measured impact.

01

Inquiry & Proposal

We provide a pilot proposal with a detailed breakdown for both pillars.

02

Grant Application

Submit via the e-TRiS portal using our registered provider code.

03

Execution & Claim

We handle the post-training claim process directly with HRD Corp.

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Scale & Reach: Our Training in Action
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World-Class Faculty

Our trainers bring decades of experience from management consulting, multi-million dollar tech exits, and specialized data transformation.

Warren Leow

Warren Leow

Founder & Strategy Lead

Former management consultant at Bain & Company. Founder of multiple tech startups with exits. Specialist in connecting business strategy with agentic AI implementations.

LinkedIn
Chan Wei Khjan

Chan Wei Khjan

Finance & Process Transformation Lead

Former Audit Partner at YYC. Expert in financial process automation and governance. Leads the technical implementation of n8n workflows for enterprise teams.

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Poo Kuan Hoong (KH)

Poo Kuan Hoong (KH)

Data Science, ML and AI Specialist

Deep expertise in AI/ML and Data Science platforms. Specialist in production-ready data and AI solutions spanning modern data engineering, MLOps, and practical GenAI/agent workflows.

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Marcus Chia

Marcus Chia

UI/UX & Product Lead

Expert in translating user needs into functional AI-driven interfaces. Teaches how to use Antigravity and Claude Code to build polished, user-centric apps.

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Tze Jin

Tze Jin

AI & ML Specialist

Deep expertise in machine learning and backend logic. Guides participants on integrating complex AI reasoning and database structures.

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Shah Mijanur

Shah Mijanur

Cybersecurity & Agentic Security Expert

Expert in data pipelines, database management, and RAG integration, optimizing how AI agents retrieve and process internal knowledge securely.

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Why AITraining2U

1,000+ Professionals Trained

Proven track record across 300+ organizations including Bursa-listed companies, GLC subsidiaries, and leading Malaysian enterprises.

Enterprise-Grade Delivery

Private sessions for cohorts of 25-35 pax. On-site or at our training facility. Fully customizable content aligned to your industry context.

700+ Ready-to-Deploy Templates

Access to the Supern8n marketplace with pre-built AI workflow templates covering energy, finance, operations, procurement, marketing, and more.

Registered HRD Corp Provider

All programs are 100% claimable under SBL-Khas. We handle the end-to-end claims process, making it seamless for your HR and L&D teams.

Ready to Transform
Petronas?

Let's schedule a 30-minute briefing to walk your leadership team through the full program structure, pricing, and HRDC claims process.

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