AI TRANSFORMATION | ENGINEERING
From 2–3 Days to About One Hour
Using AI to Review Engineering Drawings Against Specifications and Standards
How Sierra Kru used AI to reduce engineering standards review time and give engineers more capacity for higher-value work.
AT A GLANCE
- CLIENT
- Mining & Engineering Organization
- CHALLENGE
- Review large volumes of engineering deliverables against company standards, specifications, international codes, IEEE, ISO, and other technical requirements.
- WHAT SIERRA KRU DID
- Built an AI-assisted engineering review workflow grounded in the applicable standards and specifications.
- RESULT
- 2–3 business days → approximately 1 hour
- BUSINESS VALUE
- More engineering capacity available for higher-value technical work.
THE CHALLENGE
Standards-intensive review was consuming engineering capacity.
An industrial engineering organization relied on experienced engineers to manually review engineering drawings against international standards and company specifications. The organization manages multidisciplinary engineering projects and reviews more than 1,000 contractor deliverables per project.
For the type of standards-intensive specification compliance review tested with Sierra Kru, the client estimated the engineering drawing review cycle typically took two to three business days.
The issue was not just turnaround time. Experienced engineers were spending significant time searching through standards, comparing requirements, identifying potential gaps, and documenting what they found.
THE AI-ASSISTED APPROACH
AI-assisted engineering review grounded in the work engineers actually do.
Standards knowledge base
Applicable engineering standards and specifications were loaded into the agent's knowledge base.
Structured intake
The engineer uploaded the engineering drawing or document, and the workflow asked structured questions to identify the design type and applicable specifications.
First-pass review
The system evaluated the material against the relevant standards and surfaced potential specification compliance gaps.
Engineer control
Findings were mapped to the applicable specifications, while the engineer retained responsibility for interpretation, validation, and final technical judgment.
This was not a generic document summary. The workflow was built around the engineering knowledge required to perform the review.
RESULTS
Review time dropped while engineering judgment remained in control.
Cycle time
2–3 business days → approximately 1 hour
Review traceability
Potential compliance gaps mapped to applicable specifications.
Engineering control
Final technical judgment remained with the engineer.
Capacity
Less time spent on repetitive standards comparison, more consistent review workflows, and more engineering capacity available for higher-value technical work.
For context, if a comparable review involves four to eight hours of active engineering effort, the workflow could return roughly 3–7 engineering hours per comparable review.
Across just 100 comparable reviews, that represents an estimated 300–700 engineering hours of potential capacity returned.
Illustrative Sierra Kru estimate based on the tested workflow. Actual savings vary based on document complexity and active engineering review time.
THE BIGGER POINT
The opportunity was not to replace engineering judgment. It was to redesign the work around it.
AI handled more of the repetitive standards comparison so engineers could spend more of their time on analysis, design decisions, problem-solving, and other work where their expertise created the most value.
That is the broader Sierra Kru point of view: identify where valuable expertise is being consumed by repetitive work, redesign the workflow, and apply AI where it creates leverage without removing the human judgment the work still requires.
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START WITH THE CONSTRAINT
What Expensive Process Is Slowing Your Team Down?
Sierra Kru helps professional services and technical organizations identify high-cost, time-intensive workflows that can be redesigned with AI while keeping people in control of the decisions that matter.