Course Summary
This five-day program equips EPC tendering, estimation, engineering, contracts and commercial teams to use AI across the complete pre-bid and bidding lifecycle.
Participants learn how to apply AI to tender intake, Bid/No-Bid analysis, requirement decomposition, BOQ review, cost estimation, contract-risk identification, QA/QC, HSE and ESG compliance, proposal development, red-team review and final tender compilation.
The program follows a 30% concepts, 50% hands-on AI workshops and 20% case studies and assessments model. Participants work on a synthetic EPC tender covering RFP, Scope of Work, BOQ, General Terms and Conditions, technical specifications, QA/QC, HSE and commercial information.
AI is positioned as a decision-support and drafting tool. It does not replace authorised technical, legal, commercial, HSE, QA/QC, tax or management approval.
Who Should Attend
- EPC Pre-Bid and Tendering professionals
- Proposal and RFP teams
- Estimation and Costing Engineers
- Contracts Engineers and Contract Administrators
- Contracts and Commercial Managers
- Project Managers
- Engineering and Technical specialists
- Legal and Compliance professionals
- HSE and ESG professionals
- QA/QC professionals
- Financial and Commercial Analysts
- Energy Transition project teams
Business Outcomes
Participants will be able to:
- Accelerate tender-document review while maintaining source traceability.
- Reduce the risk of missed requirements, deadlines and deliverables.
- Improve the quality and consistency of Bid/No-Bid decisions.
- Strengthen BOQ checking, cost traceability and estimate validation.
- Identify contractual and commercial risks earlier in the bid cycle.
- Connect contract risks with cost, schedule, cash flow and negotiation strategy.
- Create a common compliance framework across engineering, QA/QC, HSE and commercial teams.
- Improve proposal consistency, completeness and management visibility.
- Build reusable AI prompts, templates and workflows for controlled tendering activities.
AI Prompt Engineering Method
Participants learn to structure prompts that define:
- The AI’s professional role
- The tendering task to be performed
- Approved source documents
- Required extraction or analysis criteria
- Expected output structure
- Evidence and source-reference requirements
- Assumptions and uncertainty controls
- Professional-review and approval requirements
The program includes a Master EPC Tender Analysis Prompt and role-specific prompts for tendering, estimation, contracts, engineering, QA/QC, HSE and commercial review.
Assessment and Evaluation
- Pre-training competency assessment
- Daily case study
- Daily audience assignment
- Five-question objective knowledge check at the end of each day
- Hands-on AI laboratory output review
- Capstone tender simulation
- Post-training competency assessment
- 30/60/90-day adoption review
Assessment focuses on participants’ ability to:
- Produce traceable outputs
- Identify missing evidence
- Recognise AI-generated errors or unsupported assumptions
- Route material decisions to the appropriate professional reviewer
- Apply AI within controlled EPC tendering workflows
