Engineering delivery workflows
Encode the sequence from requirements and design decisions through coordinated documentation, parts records, standards checks, and a human review package.
Explore engineering AI →SERVICES / ENGINEERING WORKFLOW SYSTEMS
Build your expertise
into the way work gets done.
A stronger process. A repeatable deliverable. A team with more room to engineer.
Landry Industrial develops AI workflows and software around real engineering work. We connect domain knowledge, explicit procedures, structured information, and human review into a system your team can evaluate and adopt.
WHAT WE BUILD
DEMONSTRATED EXAMPLE
Ground Truth: control system discovery
Turn site photos and a PLC program backup into as-found drawings, a control narrative, a cause and effect matrix, a live model of the real logic, ranked findings and training for every role. Know what an existing system actually does before you change it.
Explore Ground Truth →Custom engineering software
Build focused web or desktop interfaces around complex engineering records and recurring decisions. Agree the supported inputs, outputs, and acceptance criteria before development.
See the software portfolio →Connected project knowledge
Organize requirements, reference material, design decisions, and revisions for retrieval and checking. We are developing a project graph to help teams trace the impact of a change across those records.
Discuss your project records →CHANGE SHOULD LEAVE A TRAIL
Find the connection.
Check the impact.
When a requirement changes, a project team needs to know which components, drawings, records, and decisions may be affected. Structured project knowledge is the foundation for that search.
The project graph is in development. Its purpose is to help a person investigate likely impacts; engineering verification remains part of the workflow.
ILLUSTRATIVE RELATIONSHIP MAP
Concept illustration · Project graph in development
BEYOND THE FIRST APPLICATION
The same discipline.
More places to apply it.
Explore a pilot in the area that matters most to your team. Each engagement is built around your deliverables, tools, and review process.
Keep the records aligned.
Explore instrument indexes, datasheet preparation, specification cross-checks, and review evidence.
Make the next action visible.
Explore equipment registers, vendor document tracking, delivery milestones, and exceptions.
Control the handoff.
Explore revision reconciliation, transmittal preparation, completeness checks, and traceable open items.
HOW AN ENGAGEMENT WORKS
One workflow.
A clear path forward.
Discovery, implementation, and ongoing support are scoped and quoted separately. Agree data handling, access, ownership, and review responsibilities before work begins.
- 01
Baseline
Choose one recurring deliverable. Record the hours, handoffs, checking effort, and acceptance criteria.
- 02
Build
Encode your process in reusable AI skills, structured records, and controlled output templates.
- 03
Check
Run representative work through independent human review. Log corrections and unresolved items.
- 04
Measure
Compare total effort, defect findings, and turnaround against the baseline, including rework.
- 05
Adopt
Use the results to plan the rollout. Train the team and establish ownership, support, and change control.
Start with a recurring deliverable and the people who produce and review it.Start the conversation ↗