Product / Grunnlag
Grunnlag is Aprex's AI support for condition reports and similar documentation work. The product can help turn observations, images, notes, and templates into structured report drafts, but professional judgment and final responsibility must remain with qualified humans.
Last updated: May 25, 2026
Report work often takes substantial time after the inspection itself: notes must be cleaned, images connected to the right points, wording standardized, and missing items caught before the report is sent onward. Grunnlag targets this documentation flow, not replacement of the professional.
AI can help extract relevant points, structure observations, suggest wording, and flag missing items in a draft. It should not be used as an uncontrolled decision engine for condition grades, legal assessments, or financial consequences.
A safe flow should have clear control points: which sources are used, which parts are AI-generated, who approved changes, and which areas require manual professional review. Traceability matters more than a fast report alone.
Grunnlag should adapt to the company's report templates, terminology, image flow, and approval routines. Where existing systems have APIs or exports, the product can connect to document storage, CRM, case flow, or customer reporting.
A Grunnlag pilot should start with a small set of modules and clear domain boundaries before broader rollout.
Collect notes, images, and findings in a structure that follows the report template.
Create first text drafts based on approved templates, terminology, and registered observations.
Flag empty fields, unclear wording, missing images, or points that need manual review.
Let professionals approve, comment on, or reject AI suggestions before the report is finalized.
Log data sources, changes, approvals, and versions so the report basis can be reviewed.
Connect to document storage, CRM, or reporting tools where access, API, and privacy allow it.
No. Grunnlag should support structure, writing, and quality review. Professional assessments, approval, and final responsibility must remain with qualified humans.
That should not be done without clear professional rules, control points, and human approval. AI can suggest or flag, but critical assessments must be quality reviewed.
Grunnlag is planned for summer 2026. Before broad launch, report templates, domain boundaries, review flow, and data handling should be tested in a scoped pilot.
Typical inputs include report templates, examples of finished reports, observation structure, image flow, user roles, and one scoped report type that can be tested safely.
Yes. The pattern also fits other documentation processes where observations, images, and professional assessments become structured reports.
For reports with legal, financial, or safety significance, AI support must be treated as decision support. The page should never promise automatically correct assessments without documented method, professional control, and clear responsibility.
Send an anonymized report template, typical workflow, data sources, and how much time is spent from inspection to finished report.
Contact Aprex about Grunnlag