Connect data. Support engineering operations.
Explore software, data and IoT approaches for ground-based engineering workflows in aviation.
Discuss your challengeExplore capabilities ↓
From fragmented data to traceable workflows.
Equipment records, materials, technical documents and work history need to connect with accountable owners. This reference page explores ground-based applications: data management, task coordination and engineering-environment visibility.
Define the approach together
One approach. Connected disciplines.
Proposed scope: business software, data and ground-based engineering tasks. Illustrative scenarios provide a starting point for requirements discovery.
Workflow context first
Define scope and task ownership together with the operating organization.
Traceable data
Preserve sources, versions and changes with records for review.
Prototype before deployment
Use trial data, evaluation scenarios and agreed completion criteria.
Scenarios & delivery approaches
EXPLORE HOW TECHNOLOGY CONNECTSEngineering task management prototype
Design assignment, status and handoff screens using synthetic data.
Explore the approach
What would you like to connect?
One foundation. Many connected capabilities.
01Asset & materials data
Connect inventories, identifiers and state histories from authorized sources.
Explore capability02Ground maintenance workflows
Prototype assignments, status tracking and linked work evidence.
Explore capability
03Technical document retrieval
Retrieve versioned documents within permissions and show sources for review.
Explore capability
04Sensors & field data
Evaluate environmental and equipment data collection within a trial scope.
Explore capability
05Engineering-area visibility
Illustrate video and event flows for ground operations visibility.
Explore capability
06Simulation & prototyping
Test interfaces and integration flows with trial data before delivery decisions.
Explore capabilityFrom goals to a concrete delivery plan.
Use a focused scope, explicit test conditions and agreed ownership at each stage.
- 01
Discover & define
Understand workflows, data, existing systems and goals.
- 02
Design & prototype
Describe the workflow and test a focused scope.
- 03
Validate & refine
Compare evidence with criteria before expanding.
- 04
Integrate & hand over
Complete configuration, documentation and operating procedures.
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Read articleFrequently asked questions
What aviation scope does this page cover?
Business software, data and ground-based engineering environments. Each request is assessed with the responsible organization before defining project scope.
What data should discovery start with?
Prepare a system inventory, example tasks and an overview of data structures. A prototype can use synthetic data when operational data is unavailable.
Can existing systems be integrated?
Integration documentation, access and permitted data must be assessed. A PoC can be limited to one workflow using suitable trial data.
Does AI approve engineering tasks?
In the proposed approach, AI helps retrieve and summarize cited information. Authorized people retain workflow approval responsibilities.
How can a prototype start?
Choose a workflow, user group and trial dataset. Agree criteria, deliverables and evaluation conditions before development.
What does a prototype deliver?
Outputs can include a workflow map, data model, trial interface and evaluation report. Technical scope, usage rights and handover documentation are agreed at the start.
Start with your challenge.
Define the data, systems and the right next experiment together.
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