EcoIQ Platform Module
EcoIQ Mobile / iPad Inspection Mode
Capture evidence on site. Generate modernisation intelligence instantly.
EcoIQ Mobile / iPad Inspection Mode lets field teams inspect boilers, factories, farms,
mines, buildings, heat networks and energy assets directly from a mobile device. Users
can take photos, record videos, upload bills, capture meter readings, add voice notes
and trigger AI agents that create Asset Passports, match playbooks, detect risks,
prepare finance logic and start MRV tracking.
Core purpose: Turn field evidence into structured industrial intelligence.
Connected EcoIQ Modules
Omnimodal Evidence Panel
Displays the photos, video and sensor evidence captured on site.
Asset Passport
Is automatically created or updated from a field inspection.
Industrial Playbook Library
Supplies the pathway matched to what the inspector captured.
Impact MRV Layer
Uses the field inspection as the before-evidence baseline.
Supplier & Funding Marketplace
Receives the next-actions list generated from an inspection.
Institutional Finance Engine
Uses field evidence quality to inform finance readiness.
Amanah Autopilot
Reviews inspections overnight and prepares a morning follow-up list.
Microsoft Ecosystem Core Stack
Provides the agent, storage and dashboard building blocks a production mobile app would run on.
Azure AI / OpenAI Vision / Gemini Live-style multimodal workflows
Powers the AI photo and video diagnosis.
Power Apps
A candidate mobile shell for field teams already on Microsoft 365.
Teams
Delivers inspection notifications and approval requests.
Power BI
Visualises inspection activity and findings.
Azure Digital Twins
Links the inspected asset to its digital twin.
Azure IoT
Correlates captured meter readings with live sensor streams.
Primary Workflow
Step 1
Open EcoIQ on mobile
User opens EcoIQ from:
iPhoneiPadAndroidMac browserMicrosoft TeamsPower AppsPWA installed app
Step 2
Select asset type
Options:
Boiler houseFactory lineCompressorMotorElectrical panelHeat networkBuildingFarm / greenhouseMine / quarryWater systemSolar + battery site
Step 3
Capture evidence
User captures:
PhotosShort videoMeter readingsEnergy billFuel billEquipment nameplateMaintenance logVoice noteGPS/locationTimestampSafety observation
Step 4
AI visual diagnosis
EcoIQ agents detect:
Uninsulated pipesSoot marksCorrosionOld equipmentMissing sensorsSafety risksHeat loss signalsWater leaksManual process bottlenecksPoor monitoringPotential downtime risks
Step 5
Create Asset Passport
The inspection automatically creates or updates an Asset Passport with:
PhotosDocumentsAsset typeLocationVisible risksBaseline dataMissing dataRecommended playbook
Step 6
Match Playbook
EcoIQ matches the asset to:
Boiler Modernisation PlaybookFactory Energy Efficiency PlaybookDistrict Heating Upgrade PlaybookMining Diesel Reduction PlaybookWater Recycling PlaybookSmart Agriculture PlaybookSolar + Battery PlaybookWaste Heat Recovery PlaybookCompressed Air Optimisation PlaybookSMR Feasibility Playbook
Step 7
Generate field report
EcoIQ produces:
Visible risk summaryMissing data checklistRecommended next actionsMaqasid/Mizan meaningNo Harm Gate notesSupplier/funding next stepsMRV baseline checklist
Step 8
Human approval
Inspector or manager reviews before action.
Step 9
Sync to dashboard
Data syncs to:
Power BI dashboardAsset PassportDigital TwinMRV LayerTeams notificationSupplier/funding workflow
Mobile Screen Mockups
Screen 1
Start Inspection
Buttons
- Take Photo
- Record Video
- Scan Meter
- Upload Bill
- Add Voice Note
Screen 2
AI Photo Diagnosis
Show
- Image preview
- Visual labels
- Risk level
- Confidence
- "Needs verification" tag
Screen 3
Asset Passport Created
Show
- Asset name
- Location
- Risk score
- Maqasid score
- Mizan score
- Missing data
- Recommended playbook
Screen 4
Recommended Actions
Show
- Quick wins
- Deep upgrades
- Supplier/funding options
- MRV checklist
Screen 5
Manager Approval
Show
- Approve
- Request more data
- Assign engineer
- Generate report
- Send to Teams
Example Inspections
Inspection
Boiler House #3 — Karaganda Region
Captured
- 8 photos
- 1 fuel bill
- 1 meter reading
- 1 voice note
- GPS location
- Timestamp
AI findings
- Uninsulated pipe detected
- Soot marks detected
- No smart meter visible
- Corrosion risk visible
- Heat loss risk medium/high
Recommended playbook: Boiler Modernisation Playbook
Next actions
- Collect 12 months of fuel bills
- Measure pipe temperature
- Install smart heat meters
- Insulate exposed pipes
- Service boiler
- Prepare finance memo
Maqasid/Mizan: Reduce harm to health, reduce waste of fuel, protect resources and restore balance between fuel input and useful heat.
Inspection
Factory Production Line #2
Captured
- Motor photos
- Production line video
- Downtime note
- Electricity bill
AI findings
- Old motor visible
- Manual inspection point
- Congestion/bottleneck risk
- No sub-metering visible
Recommended playbook: Factory Energy Efficiency Playbook
Next actions
- Install sub-metering
- Log downtime reasons
- Check motor efficiency
- Consider predictive maintenance sensors
- Assess camera-based quality inspection
Offline / Low-Connectivity Mode
EcoIQ should support field use in weak internet environments:
- Save inspection locally
- Upload when online
- Compress images/videos
- Sync evidence later
- Keep timestamp and location
- Mark unsynced evidence clearly
Microsoft Device Workflow
EcoIQ can run on:
- iPad / iPhone via responsive web app or PWA
- Mac via browser
- Windows laptop via browser
- Microsoft Teams app
- Power Apps mobile
- SharePoint document workflow
Microsoft integration
- Azure Blob Storage — Photos/videos.
- Azure AI / OpenAI Vision — Image analysis.
- Microsoft Fabric — Evidence and metrics.
- Azure Digital Twins — Asset relationships.
- Power BI — Dashboards.
- Power Automate — Approvals.
- Teams — Notifications.
- SharePoint — Reports.
- Dynamics 365 — Supplier/funder pipeline.
Omnimodal / Gemini Live-Style Inspection
For future live inspection, EcoIQ can support real-time camera/video workflows:
- AI sees what the inspector sees
- AI asks the user to move closer to a pipe, motor or meter
- AI captures timestamped frames
- AI labels risk areas live
- AI creates a structured evidence trail
Designed to support real-time multimodal inspection workflows.
Field Inspection Checklist
Before leaving the site, user should capture:
- Asset overview photo
- Close-up of equipment
- Nameplate photo
- Meter reading
- Fuel/energy bill
- Visible damage
- Safety concerns
- Short voice note
- Location
- Timestamp
- Permission/consent if required
Safety and Governance
- Mobile inspection outputs are AI hypotheses, not final engineering certification.
- High-impact safety, financial, nuclear, environmental and industrial decisions require qualified expert review.
- Do not allow automatic supplier/funder outreach without human approval.
- Maqasid/Mizan is ethical decision-support, not a fatwa.
- If evidence is incomplete, show "Needs verification".
- Store location, photos and personal data according to privacy rules.
- Use Presidio or privacy tooling to detect personal/private data where appropriate.