Document analysis
Extract candidate requirements, classify technical files and prepare summaries linked to source material for review.
Engineering Automation
Intelectouch combines software, structured data and AI-assisted analysis to support engineering workflows. The objective is to reduce manual handling of technical information while keeping review and approval steps explicit.
Scope, integrations and deliverables are defined for each project.

A document workflow can involve reading specifications, finding changes between revisions and checking fields before a report is prepared. These steps need different approaches. AI can assist with interpreting text; deterministic checks can validate required values and formats. Engineers remain responsible for reviewing technical conclusions and deciding what can move forward.
Extract candidate requirements, classify technical files and prepare summaries linked to source material for review.
Surface changes between document versions so reviewers can focus on differences that need attention.
Check structured data against agreed rules and prepare reports, exception lists or approval tasks.
Engineering Automation
Document its inputs, expected outputs, frequency and current review process.
Agree which steps use rules, which may use AI and when a person must intervene.
Review successful and difficult cases before using the workflow more broadly.
Approval rules depend on the task and its risk. Technical conclusions should have a defined review process; AI output alone is not engineering approval.
Choose a frequent task with accessible examples and a clear definition of a correct result, such as checking required document fields.
Intelectouch
Share the people, systems and technical information involved. We can use that context to discuss a focused scope.
Discuss your project