01
Role-separated operating views
Reliability Engineer, Operations Control, ESG Performance, and Admin Dashboard views present the same trusted data through the decisions each team must make.
Prototype Ready
MCM Predictive Analytics Portal
Powered by Evanstontec of Botswana
A role-based operating intelligence platform for predictive maintenance, operations visibility, ESG performance, and action tracking.
See risk earlier, act faster, and measure operational improvement with a connected analytics portal built for mining decision workflows.
Executive message
This platform gives MCM a single operational intelligence layer for predictive maintenance, operational monitoring, ESG performance, and execution tracking.
Early Risk Detection48h predictive risk window
Coordinated ResponseAlert-to-work-order flow
Measurable ImprovementPilot evidence layer
RFP alignment
Built around procurement, operating, and technical evidence
This prototype demonstrates the proposed platform’s functional coverage, implementation direction, governance model, and pilot measurement approach.
| RFP concern | How the prototype positions the response | Evidence layer |
|---|---|---|
| Operational value | Asset health, failure risk, work-order actions, energy intensity, ESG performance, and operations visibility are brought into one decision surface. | Demonstrated |
| Technical feasibility | The prototype is backed by typed backend procedures, database persistence, authenticated user roles, and admin-controlled configuration. | Demonstrated |
| Adoption readiness | The interface is organized around operational roles rather than generic pages, making the demo clear for reliability, operations, ESG, and admin stakeholders. | Demonstrated |
| Governance and control | Admin-only ESG controls, partner integration statuses, persistent score records, and workflow oversight demonstrate controlled configuration. | Demonstrated |
| Pilot measurement | Pilot KPIs can track downtime avoided, maintenance response time, ESG data completeness, user adoption, and evidence for executive reporting. | Demonstrated |
Proof points
A credible pilot foundation, not a disconnected visual mock-up
The live portal already shows the delivery thinking evaluators need to see: role context, workflow follow-through, ESG governance, and an executive-friendly command-center interface.
02
Backend-supported workflows
Recommended maintenance actions can move into work-order queues, while the admin layer tracks the status of those operational actions through completion.
03
Auditable ESG governance
Configurable ESG weights, partner integration statuses, score persistence, and trend history position ESG as governed evidence rather than static presentation.
04
Light command-center design
The interface keeps executive navigation clear without a heavy sidebar, while preserving industrial telemetry cues and mining-operational context.
Delivery partner
Evanstontec capability and about
Evanstontec of Botswana is positioned as the local delivery and enablement partner that can translate the MCM predictive analytics concept into enterprise AI services, governed implementation, and operational adoption support.
Powered by Evanstontec of Botswana
About the delivery role
Evanstontec frames the portal as an AI agent factory and infrastructure-led delivery practice: a team that can assemble role-specific agents, integrate operational data flows, package governance evidence, and support executive-to-frontline adoption.
Botswana-centered delivery presence
Manus-built enterprise AI services
Operational data governance
Training and adoption enablement
Evaluator follow-up
Use this panel to explain who stands behind the prototype, how the delivery team can scale beyond the demo, and which capability areas should be discussed during technical clarification.
E1
AI agent factory
Designs focused agents and human-in-the-loop workflows that turn operational requirements into governed automation, analytics, and decision-support experiences.
E2
Mining analytics implementation
Connects role-based UX, typed backend services, data provenance, and operational dashboards so evaluators can trace insight from source signal to action.
E3
Enterprise infrastructure delivery
Builds around authentication, database persistence, API integration, cloud storage patterns, deployment governance, and supportable implementation practices.
E4
Expanded service coverage
Uses Evanston Technologies’ Simnet.ca white-label partnership to extend infrastructure, managed service, cybersecurity, and hosting capability when the delivery model requires it.
Executive framing
The three ideas the landing page must communicate immediately
Evaluators should understand that the portal connects predictive insight to coordinated action and measurable delivery.
Early Risk Detection
Show which assets are trending toward failure, why they are at risk, and what response should be considered next.
48h predictive risk window
Coordinated Response
Move from alert to action through recommended tasks, queued work orders, asset drill-downs, and admin oversight.
Alert-to-work-order flow
Measurable Improvement
Evaluate whether the pilot improves reliability, responsiveness, ESG data quality, energy performance, and operating discipline.
Pilot evidence layer
Pilot success metrics
Measurement layer for the next readiness stage
During a pilot, the platform can become the evidence base for whether MCM is reducing unplanned downtime, improving response times, increasing ESG reporting confidence, and strengthening operational discipline.
Downtime avoided
Target
Quantify prevented unplanned stoppages from predictive interventions.
Maintenance response
Track
Measure time from detected risk to queued, assigned, and completed work.
ESG data completeness
Verify
Monitor whether source-system signals support weighted ESG reporting.
User adoption
Observe
Assess active use across reliability, operations, ESG, and admin roles.
Transition into live demo
Walk through the prototype in evaluator order.
1. Reliability2. Operations3. ESG4. Admin governance
The recommended demo path starts with the Reliability Engineer view, follows a recommendation into the work-order workflow, then moves into operations visibility, ESG score management, and admin governance.