AI-Powered Operational Intelligence Platform

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

Project ID: 39736503