AI-Powered Operational Intelligence Platform
Budget: $100,000 – $0 AUD
RFP: AI-Powered Operational Intelligence Platform
Organization: TBA (Australia Based)
Project Duration: Phase 1: 6 months (with option for Phase 2)
1. Executive Summary
We seek a partner to design and implement an AI-powered operational intelligence platform
that improves field operations efficiency, reduces safety incidents, and enhances
decision-making across our mining operations. This RFP focuses on business outcomes
rather than specific technologies, encouraging innovative solutions that best meet our needs.
2. Business Context and Objectives
Current Challenges
● Field Operations: 40% of supervisor time spent on manual reporting and data entry
● Safety Management: 3-day average lag between incident and corrective action
implementation
● Resource Allocation: 25% equipment idle time due to scheduling inefficiencies
● Knowledge Management: Critical operational knowledge trapped in unstructured
documents and retiring workers' minds
Measurable Success Criteria (12-month targets)
● Reduce administrative burden on field supervisors by 50%
● Decrease safety incident response time to <24 hours
● Improve equipment utilization by 15%
● Enable 80% of routine operational queries to be answered instantly
● Achieve 90% user adoption rate among field teams
3. Current Technology Landscape
Existing Systems
● Assignar: Workforce and equipment management
● PayCat: Payroll and compliance
● SharePoint/Teams: Document management and communication
● Business Central: Financial management
● Various: GPS tracking, telemetry systems, safety management tools
Technical Constraints
● Limited connectivity at remote sites (offline capability required)
● Mixed device ecosystem (iOS, Android, Windows)
● Strict data sovereignty requirements (Australian data residency)
● Integration with legacy systems via limited APIs
4. Functional Requirements
Phase 1 Priority Capabilities
4.1 Intelligent Field Assistant
● Objective: Reduce administrative burden and improve data quality
● Key Features:
○ Voice-to-text reporting for safety observations and daily logs
○ Intelligent form completion with contextual suggestions
○ Offline-first mobile experience with smart sync
○ Multi-language support for diverse workforce
4.2 Operational Knowledge Hub
● Objective: Instant access to procedures, history, and insights
● Key Features:
○ Natural language query interface
○ Integration with existing document repositories
○ Contextual recommendations based on location/task
○ Ability to capture and structure tribal knowledge
4.3 Predictive Safety Analytics
● Objective: Proactive risk identification and mitigation
● Key Features:
○ Pattern recognition in incident data
○ Real-time risk scoring for activities
○ Automated safety alert generation
○ Integration with existing safety systems
4.4 Resource Optimization Engine
● Objective: Improve equipment and workforce utilization
● Key Features:
○ Intelligent scheduling recommendations
○ Predictive maintenance alerts
○ Resource conflict detection
○ What-if scenario modeling
5. Non-Functional Requirements Performance
● <2 second response time for queries (when online)
● Support for 500+ concurrent users
● 99.5% uptime for critical functions
● Offline operation for core field functions
Security & Compliance
● Australian data residency
● Role-based access control
● Audit trail for all AI decisions
● Compliance with mining industry standards
● Integration with existing identity management
Usability
● Mobile-first design for field workers
● Minimal training requirement (<2 hours)
● Support for low-literacy users
● Works on standard smartphones/tablets
6. Evaluation Criteria
Proposals will be evaluated on:
1. Demonstrated Business Value (35%)
○ Clear ROI model with realistic assumptions
○ Alignment with our success metrics
○ Evidence of similar successes in mining/construction
2. Solution Approach (30%)
○ Innovative yet practical design
○ Phased implementation strategy
○ Risk mitigation approach
○ Change management methodology
3. Technical Capability (20%)
○ Team expertise and track record
○ Technology choices with justification
○ Integration approach for existing systems
○ Data privacy and security model
4. Commercial Terms (15%)
○ Value for money
○ Flexible engagement model
○ IP and data ownership terms
○ Ongoing support model
7. Proposal Requirements
Section 1: Executive Summary (2 pages max)
● Understanding of our challenges
● Proposed solution overview
● Expected outcomes and timeline
● Investment summary
Section 2: Solution Design (10 pages max)
● Functional architecture
● User experience examples
● Integration approach
● Technology rationale (not prescriptive)
● Security and compliance approach
Section 3: Implementation Plan (5 pages max)
● Phased delivery roadmap
● Key milestones and deliverables
● Risk assessment and mitigation
● Change management approach
● Success measurement framework
Section 4: Team and Credentials (5 pages max)
● Proposed team structure and key personnel
● Relevant project examples with outcomes
● Client references (mining/construction preferred)
● Partnership/subcontractor details
Section 5: Commercial Proposal
● Detailed pricing breakdown
● Payment milestones
● Ongoing support costs
● Terms and conditions
● Optional Phase 2 expansion costs
8. Engagement Process Timeline
● RFP Release: August 1, 2025
● Vendor Q&A Session: August 12, 2025
● Proposal Deadline: August 30, 2025
● Vendor Presentations: September 9-13, 2025
● Selection Decision: September 20, 2025
● Contract Negotiation: September 23-30, 2025
● Project Kickoff: October 7, 2025
Submission Instructions
● Electronic submission only
● Maximum 30 pages (excluding appendices)
● PDF format with searchable text
● Submit to: [procurement email]
9. Important Notes
What We're NOT Looking For
● Prescribed technology stacks
● "One-size-fits-all" solutions
● Unproven technologies in production environments
● Solutions requiring significant infrastructure investment
What We Value
● Practical, proven approaches
● Focus on user adoption and change management
● Flexible, modular architecture
● Strong local presence and support
● Commitment to knowledge transfer
10. Future Considerations (Phase 2)
Subject to Phase 1 success, potential expansion includes:
● Advanced analytics and digital twin capabilities
● Integration with IoT sensors and autonomous equipment
● Expansion to additional sites and business units
● Custom AI model development for specialized use cases
Organization: TBA (Australia Based)
Project Duration: Phase 1: 6 months (with option for Phase 2)
1. Executive Summary
We seek a partner to design and implement an AI-powered operational intelligence platform
that improves field operations efficiency, reduces safety incidents, and enhances
decision-making across our mining operations. This RFP focuses on business outcomes
rather than specific technologies, encouraging innovative solutions that best meet our needs.
2. Business Context and Objectives
Current Challenges
● Field Operations: 40% of supervisor time spent on manual reporting and data entry
● Safety Management: 3-day average lag between incident and corrective action
implementation
● Resource Allocation: 25% equipment idle time due to scheduling inefficiencies
● Knowledge Management: Critical operational knowledge trapped in unstructured
documents and retiring workers' minds
Measurable Success Criteria (12-month targets)
● Reduce administrative burden on field supervisors by 50%
● Decrease safety incident response time to <24 hours
● Improve equipment utilization by 15%
● Enable 80% of routine operational queries to be answered instantly
● Achieve 90% user adoption rate among field teams
3. Current Technology Landscape
Existing Systems
● Assignar: Workforce and equipment management
● PayCat: Payroll and compliance
● SharePoint/Teams: Document management and communication
● Business Central: Financial management
● Various: GPS tracking, telemetry systems, safety management tools
Technical Constraints
● Limited connectivity at remote sites (offline capability required)
● Mixed device ecosystem (iOS, Android, Windows)
● Strict data sovereignty requirements (Australian data residency)
● Integration with legacy systems via limited APIs
4. Functional Requirements
Phase 1 Priority Capabilities
4.1 Intelligent Field Assistant
● Objective: Reduce administrative burden and improve data quality
● Key Features:
○ Voice-to-text reporting for safety observations and daily logs
○ Intelligent form completion with contextual suggestions
○ Offline-first mobile experience with smart sync
○ Multi-language support for diverse workforce
4.2 Operational Knowledge Hub
● Objective: Instant access to procedures, history, and insights
● Key Features:
○ Natural language query interface
○ Integration with existing document repositories
○ Contextual recommendations based on location/task
○ Ability to capture and structure tribal knowledge
4.3 Predictive Safety Analytics
● Objective: Proactive risk identification and mitigation
● Key Features:
○ Pattern recognition in incident data
○ Real-time risk scoring for activities
○ Automated safety alert generation
○ Integration with existing safety systems
4.4 Resource Optimization Engine
● Objective: Improve equipment and workforce utilization
● Key Features:
○ Intelligent scheduling recommendations
○ Predictive maintenance alerts
○ Resource conflict detection
○ What-if scenario modeling
5. Non-Functional Requirements Performance
● <2 second response time for queries (when online)
● Support for 500+ concurrent users
● 99.5% uptime for critical functions
● Offline operation for core field functions
Security & Compliance
● Australian data residency
● Role-based access control
● Audit trail for all AI decisions
● Compliance with mining industry standards
● Integration with existing identity management
Usability
● Mobile-first design for field workers
● Minimal training requirement (<2 hours)
● Support for low-literacy users
● Works on standard smartphones/tablets
6. Evaluation Criteria
Proposals will be evaluated on:
1. Demonstrated Business Value (35%)
○ Clear ROI model with realistic assumptions
○ Alignment with our success metrics
○ Evidence of similar successes in mining/construction
2. Solution Approach (30%)
○ Innovative yet practical design
○ Phased implementation strategy
○ Risk mitigation approach
○ Change management methodology
3. Technical Capability (20%)
○ Team expertise and track record
○ Technology choices with justification
○ Integration approach for existing systems
○ Data privacy and security model
4. Commercial Terms (15%)
○ Value for money
○ Flexible engagement model
○ IP and data ownership terms
○ Ongoing support model
7. Proposal Requirements
Section 1: Executive Summary (2 pages max)
● Understanding of our challenges
● Proposed solution overview
● Expected outcomes and timeline
● Investment summary
Section 2: Solution Design (10 pages max)
● Functional architecture
● User experience examples
● Integration approach
● Technology rationale (not prescriptive)
● Security and compliance approach
Section 3: Implementation Plan (5 pages max)
● Phased delivery roadmap
● Key milestones and deliverables
● Risk assessment and mitigation
● Change management approach
● Success measurement framework
Section 4: Team and Credentials (5 pages max)
● Proposed team structure and key personnel
● Relevant project examples with outcomes
● Client references (mining/construction preferred)
● Partnership/subcontractor details
Section 5: Commercial Proposal
● Detailed pricing breakdown
● Payment milestones
● Ongoing support costs
● Terms and conditions
● Optional Phase 2 expansion costs
8. Engagement Process Timeline
● RFP Release: August 1, 2025
● Vendor Q&A Session: August 12, 2025
● Proposal Deadline: August 30, 2025
● Vendor Presentations: September 9-13, 2025
● Selection Decision: September 20, 2025
● Contract Negotiation: September 23-30, 2025
● Project Kickoff: October 7, 2025
Submission Instructions
● Electronic submission only
● Maximum 30 pages (excluding appendices)
● PDF format with searchable text
● Submit to: [procurement email]
9. Important Notes
What We're NOT Looking For
● Prescribed technology stacks
● "One-size-fits-all" solutions
● Unproven technologies in production environments
● Solutions requiring significant infrastructure investment
What We Value
● Practical, proven approaches
● Focus on user adoption and change management
● Flexible, modular architecture
● Strong local presence and support
● Commitment to knowledge transfer
10. Future Considerations (Phase 2)
Subject to Phase 1 success, potential expansion includes:
● Advanced analytics and digital twin capabilities
● Integration with IoT sensors and autonomous equipment
● Expansion to additional sites and business units
● Custom AI model development for specialized use cases