Skip to main contentQuality Issue Management
Scenario
A team member discovers a quality issue. Instead of filling out multiple forms, they:
- Capture the issue via the mobile app using a voice note or text description
- Add photos of the defective unit for documentation
- Reclamia automatically classifies it as “Quality” with “High” priority based on defect type
- Routes to Quality Manager in real-time
- Quality team receives instant notification with full context
- Comments and escalation tracking ensure rapid resolution
Benefits
- Issues documented in minutes instead of hours
- AI classification ensures consistent categorization
- Management visibility enables immediate response
- Historical issue tracking prevents recurring problems
Safety Incident Response
Scenario
A safety incident occurs. A supervisor needs to report it immediately:
- Creates text claim from phone with incident details (what happened, who was involved, severity)
- Reclamia automatically routes to Safety Manager with “Critical” priority
- Escalation chain triggered automatically due to Critical priority
- Multiple safety team members receive @mention notifications
- Team collaborates in the claim with comments and files
- Complete incident log available for compliance and investigation
Benefits
- Immediate incident documentation for safety compliance
- Automatic escalation ensures no critical incidents slip through
- Collaboration prevents communication gaps
- Full audit trail satisfies regulatory requirements
Logistics Issue Tracking
Scenario
A shipping delay occurs affecting multiple orders. A logistics coordinator reports it:
- Voice claim created while on the phone with supplier: “Shipment delayed 48 hours”
- Groq Whisper automatically transcribes the voice recording
- Reclamia classifies as “Logistics” with “Medium” priority
- Auto-routes to Logistics Manager
- Team uses Kanban board to track progress
- Comments track communication with suppliers
- Resolution documented for future supplier performance reviews
Benefits
- Quick reporting during active problem-solving
- Automatic transcription removes documentation burden
- Visibility prevents cascade failures
- Historical data informs supplier management
Maintenance Request Management
Scenario
Equipment breaks down in the facility. Operator needs to request maintenance:
- Creates image claim - takes photo of broken equipment and machine display
- GPT-4 Vision automatically extracts text from machine display (error codes)
- Root cause prediction based on error codes and historical maintenance
- Routes to Maintenance team with suggested solutions
- Maintenance specialist checks historical claims for similar equipment issues
- Uses comments to request clarification from operator
- Activity log tracks maintenance history for predictive maintenance
Benefits
- Visual documentation prevents miscommunication
- AI suggestions speed up troubleshooting
- Historical context reduces resolution time
- Data informs predictive maintenance planning
Cross-Department Escalation
Scenario
A customer complaint involves quality issue that might also be a logistics problem. Report flows through multiple departments:
- Employee creates text claim: “Customer received damaged product”
- Reclamia classifies as “Quality” with “High” priority initially
- Quality Manager reviews and adds comment: “Also appears to be shipping damage”
- Escalates claim to both Quality and Logistics managers
- Cross-functional collaboration via comments and file attachments
- Claim status moves through both workflows
- Root cause determined: Quality defect + Logistics damage
- Combined resolution addresses both issues
Benefits
- Complex issues tracked in single location, not scattered emails
- No duplicated effort or communication gaps
- Clear ownership even with multiple departments
- Complete record for learning and prevention
SLA Compliance Monitoring
Scenario
Manager needs to monitor team SLA performance:
- Dashboard shows 23 open claims, 78% SLA compliance rate
- At-Risk indicator shows 4 claims approaching deadline (yellow warning)
- Manager uses Kanban board to see which claims need attention
- Clicks on at-risk claim and sees full context and assignee
- Adds comment to provide support or reassign if needed
- Comments trigger notification to assignee
- SLA status updated as work progresses
Benefits
- Proactive management prevents breaches
- Visual indicators surface problems early
- One-click access to full context
- Historical SLA data informs workload planning
Analytics for Process Improvement
Scenario
Operations Director needs data to improve processes:
- Pulls dashboard showing all-time metrics
- Trends analysis reveals quality defects increased 15% in March
- Category breakdown shows increase concentrated in Assembly department
- Root cause analysis available from past claims
- Exports data to CSV for detailed spreadsheet analysis
- Generates PDF report for executive presentation
- Data reveals process change in early March correlates with issue spike
Benefits
- Data-driven insights guide process improvements
- Historical trends prevent reactive decisions
- Easy export supports analysis workflows
- Board-ready reports enable strategic decisions
Knowledge Base Integration
Scenario
Maintenance team encounters recurring equipment failure:
- Technician uses chat assistant to search knowledge base
- Queries: “What’s the fix for motor bearing noise on Line 3?”
- Assistant retrieves relevant procedures from knowledge base
- Links to similar historical claims with solutions
- Steps from past resolution help current technician
- Faster resolution thanks to institutional knowledge
Benefits
- Reduces time to resolution
- Prevents re-learning past problems
- Captures institutional knowledge
- Trains new team members
First-Time Configuration (Admin)
Scenario
New manufacturer wants to implement Reclamia:
- Admin sets up organization with company details
- Configures SSO to use existing corporate credentials (Keycloak)
- Creates departments: Production, Quality, Logistics, Maintenance, Safety
- Defines categories specific to manufacturing: Defect, Downtime, Delay, Incident, Other
- Sets SLA policies:
- Critical: 4-hour response, 8-hour resolution
- High: 8-hour response, 24-hour resolution
- Medium: 24-hour response, 72-hour resolution
- Low: 48-hour response, 1-week resolution
- Creates business rules for auto-routing
- Configures AI agents for different departments
- Imports knowledge base from existing documentation
Benefits
- Quick onboarding with guided setup
- Standardized processes from day one
- AI agents immediately useful
- Team adoption faster with familiar processes
Next Steps
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