Capability 02 · Engineering Automation & AI
We analyse real production processes and build focused solutions for AutoCAD, Civil 3D and related engineering environments—from technical brief to implementation, training and support.
Full service cycle
Each engagement is scoped around specific files, software versions, standards, security constraints and responsible approval roles.
Map repetitive actions, hand-offs, standards, errors and approval points. Convert the findings into a prioritised automation brief.
Develop focused scripts, plugins and controlled utilities around the team's real files, templates and production rules.
Apply defined rules and approved AI-assisted checks to identify inconsistencies, missing information and review priorities.
Test the solution in a bounded pilot, integrate it into the agreed environment, train users and support controlled adoption.
Representative applications
The exact tool is selected only after reviewing representative source files and the team’s existing production environment.
Layer, naming, block, attribute and title-block consistency checks.
Structured updates across drawings, sheets and recurring production packages.
Focused automation around agreed objects, properties, data exchange and deliverables.
Rule-based and AI-assisted review of drawings, registers and supporting technical documents.
Convert structured project data into controlled inputs for drawings and reports.
Documentation, user training, approval steps and support after deployment.
Delivery path
Review representative files, current steps, software versions and constraints.
Select one valuable use case and agree inputs, outputs, risks and acceptance tests.
Build and test a bounded solution with the people who perform and approve the work.
Document, deploy and integrate the approved tool into the working environment.
Train users, monitor issues and support controlled extension to further workflows.
Human-controlled by design
Responsible specialists define the rules, review findings and approve final technical outputs. Automation remains bounded by the agreed scope, data environment and acceptance criteria.
Start with one workflow
We will structure the first diagnostic around your actual production process and identify a practical pilot scope.
Discuss an automation case