Demo listing. This page uses illustrative seed metadata to demonstrate the Atlas. Claims shown here are not verified product facts.
OpsDeck Aviation
Logistics, Transport & Aviation
Operations control for airlines: disruption detection, recovery options, crew and passenger impact, and coordinated decisions.
Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v1
Problem
During irregular operations, teams coordinate recovery over phone and chat with partial information; decisions are slow and hard to review.
Outcome
Faster, better-informed recovery decisions with a complete decision log.
Who uses it
- Operations Controller
- COO
Key capabilities
Disruption detection
IncludedDetect developing delays and cancellations.
Domain:
disruptionsRecovery simulation
IncludedSimulate recovery options with crew and passenger impact.
Domain:
scenariosRecovery recommendations
AI-assistedIncludedRank recovery options for controller review.
Decision log
IncludedCoordinated decisions with timestamps and owners.
Domain:
decisions
Typical workflow
Disruption recovery
Trigger: A delay beyond threshold is detected
Automated
Stage 1: Detect disruption
System
Automated
Stage 2: Simulate recovery options
System
AI-assisted
Stage 3: Recommend option
System
Decision
Stage 4: Controller decision
Operations controller
Task
Stage 5: Coordinate crew and passengers
Crew control
Task Automated AI-assisted Human checkpoint Decision
About this foundation
OpsDeck Aviation gives the operations control centre a shared view of disruption. Delays and cancellations are detected early, recovery options are simulated with crew and passenger impact, and decisions are coordinated and logged across teams.
Related applications
- • Addresses the same problem: Poor Visibility, Fragmented Systems
- • Shared capabilities: Decision Support, Monitoring, Forecasting
- • Addresses the same problem: Poor Visibility, Fragmented Systems
- • Shared capabilities: Decision Support, Forecasting
- • Addresses the same problem: Poor Visibility, Fragmented Systems
- • Addresses the same problem: Poor Visibility
- • Shared capabilities: Optimization
- • Addresses the same problem: Fragmented Systems
- • Shared capabilities: Monitoring
- • Addresses the same problem: Fragmented Systems
- • Shared capabilities: Monitoring
Disruption recovery
Trigger: A delay beyond threshold is detected
Automated
Stage 1: Detect disruption
System
Automated
Stage 2: Simulate recovery options
System
AI-assisted
Stage 3: Recommend option
System
Decision
Stage 4: Controller decision
Operations controller
Task
Stage 5: Coordinate crew and passengers
Crew control
Actors
Operations controller, Crew control, Customer service
Outputs
- Recovery plan
- Decision log
Evidence generated
- Decision timeline
Exceptions
- Option infeasible for crew legality
Task Automated AI-assisted Human checkpoint Decision
Included ships in the foundation · Configurable is switched or tuned per customer · Extension is customer-specific build scope · Planned is on the roadmap and not available today.
Disruption detection
IncludedDetect developing delays and cancellations.
Domain:
disruptionsRecovery simulation
IncludedSimulate recovery options with crew and passenger impact.
Domain:
scenariosRecovery recommendations
AI-assistedIncludedRank recovery options for controller review.
Decision log
IncludedCoordinated decisions with timestamps and owners.
Domain:
decisionsCrew legality checks
ExtensionCrew duty-time legality checks.
- Architecture class
- Domain-driven design, OpenAPI-first
- Bounded contexts
- 6
- API-first
- Yes — OpenAPI contracts are authoritative
- Identity
- Enterprise OIDC / SAML via the fazeZERO identity blueprint; tenant-aware role-based access.
- Multi-tenancy
- Tenant-aware
- Service boundaries
- 6 bounded contexts behind one API server.
- Integration approach
- Ports-and-adapters: every external system sits behind an adapter; OpenAPI contracts for inbound APIs.
- Eventing
- Integration events via transactional outbox.
- Storage abstraction
- Repository interfaces; DynamoDB or relational adapters.
- Deployment pattern
- Containerized API + web application; infrastructure as code per cloud profile.
- Architecture version
- 1.0
Approved domain names
- flights
- disruptions
- scenarios
- decisions
- notifications
- identity
- Web Application
- API Server
- Application Services
- Domain / Generated Core
- Adapters
- Customer Systems
Generator source, templates and factory orchestration are proprietary and are not part of this listing.
Reference Adapter: shipped and tested · Previously Integrated: delivered before · Standard API Pattern: integrates via a documented pattern · Customer-Specific: built in your implementation.
APIs
| Integration | Status | Direction | Method |
|---|---|---|---|
| Flight operations systems | Customer-Specific | bidirectional | REST API |
| Crew management systems | Customer-Specific | bidirectional | REST API |
Communication
| Integration | Status | Direction | Method |
|---|---|---|---|
| Microsoft Teams | Standard API Pattern | outbound | Webhooks |
Deployment
- Deployment models
- Customer Cloud
- Cloud profiles
- Azure Profile, AWS Profile
- Containerized
- Yes
- Regions
- GCC, GLOBAL
Cloud profiles describe approved deployment patterns. They are not formal marketplace certifications.
Data handling
- Stores customer data
- Yes
- Data leaves customer environment
- Configurable
- Uses external AI provider
- Configurable
- Sends logs externally
- No
- PII expected
- Determined during customer configuration
- Data-residency support
- Yes
- Subprocessors required
- Determined during customer configuration
Identity & access
- Authentication
- OIDC, Entra ID, SAML
- Authorization
- Role-Based, Tenant-Aware
- Source availability
- Proprietary
Support
- Implementation
- Delivered by fazeZERO or a certified partner during the Solution Definition and AI Production Sprints.
- Production support
- Production support available under a separate support agreement.
- Contact
- support@fazezero.com
Badges
fazeZERO Verified
Listing metadata and published technical claims have been reviewed by fazeZERO.
Issued 23 Sept 2026
Evidence shows that this listing represents real engineering. Internal metrics are only published when fazeZERO has approved them for publication.
Build
Automated tests
Deployment validation
- Last verification
- 15 Sept 2026
- Release
- 1.0.0
- Architecture version
- 1.0
- Listing metadata version
- 1
- Last published
- 23 Sept 2026