Most coating failures startbefore the first coat.

A system can fail because the specification never matched the project's real conditions. INSUS reads technical data sheets, project specifications and field records to flag fit gaps before work begins, then checks recorded application against the specified system. Technical teams keep the decision.

  • 01

    Match the system to real project conditions.

  • 02

    Check field records against what was specified.

  • 03

    Keep specification and application evidence together.

The problem

The failure usually startsbefore anyone picks up a roller.

When a coating or sealant fails, attention goes first to surface preparation and application. Specification and selection are also common root causes, and the hardest to reconstruct later. A system can meet a standard and still miss the project's environmental, substrate or geometric conditions. Higher-risk details such as edges often get the same treatment as flat surfaces. Field verification is then manual, inconsistently recorded, and rarely joined back to the original specification.

Coating project record showing specification, site conditions and field application captured separately
01
02
03
  • 01Project conditions
  • 02Specification
  • 03Field application

The shift

From a generic specificationto a project-matched check.

Technical judgment stays with the team. What changes is whether data sheets, project conditions and field records are checked together before and during application.

Today

Specification and application sit apart

  • Selection leans on standards and generic project requirements.
  • Environmental, substrate and geometric conditions are not matched systematically to the product envelope.
  • Field verification is manual and inconsistently tied back to the specification.

With INSUS

Fit and application evidence stay connected

  • Candidate specifications are checked against project conditions before work begins.
  • Higher-risk details are flagged for technical attention.
  • Field records are checked against preparation, thickness and curing requirements.

How it works

From data sheets and site recordsto a reviewed risk flag.

Delivered through ExpertFlow AI as document intelligence over technical data sheets, project specifications and field QA records. It flags mismatches for review. It does not approve specifications or sign off field work.

  1. Connect

    Bring documents and field records together

    Connect manufacturer technical data sheets, project specifications, site and substrate records, and field application or QA records covering products, thickness, cure, environment and geometric detail.

  2. Understand

    Compare the product envelope to project conditions

    Retrieve the documented performance envelope and compare it with the project's environmental, substrate and geometric conditions.

  3. Detect

    Flag specification gaps before application

    Surface conditions outside the documented envelope and details that warrant extra attention rather than uniform treatment.

  4. Advise

    Support technical review before and during work

    Hand technical service and quality teams a short list of fit risks and verification gaps. No automatic approval or field acceptance.

  5. Verify

    Check recorded application against the specification

    As field records are logged, compare documented preparation, thickness and curing against the specified system. Outcomes and callbacks refine matching confidence over time.

ExpertFlow AI connecting coating data sheets, project specifications and field QA records

Getting started

Start with projectsand the data sheets you already keep.

For construction chemicals manufacturers, contractors and project teams that already hold technical data sheets, specifications and field QA records. Delivered through ExpertFlow AI as document intelligence for specification fit and field-record checks. Expert Services can help with discovery and validation. Technical staff review every flag. No new sensors.

  • What we need. Technical data sheets covering application conditions, substrate compatibility, thickness and curing; project specifications; site and environmental records; and field QA records including callbacks where available.
  • What you see first. A defined set of active or recent projects checked against their own data sheets and specifications, with mismatches and elevated-risk details flagged for review.
  • How it grows. It runs beside existing technical review while findings are validated. As completions and callbacks accumulate, matching logic is refined against your own history.
Explore ExpertFlow AI

Questions coating technical teams ask us

It closes the gap between selecting a coating or sealant and confirming the specification fits the project and was followed in the field, so risks surface before they become callbacks.

Manufacturer technical data sheets, project specifications, site and substrate records, environmental conditions, and field application or QA records. Callback and failure records help validate matching against real outcomes. No new sensors.

No. It flags potential mismatches and verification gaps for technical review. Final suitability and field acceptance stay with the responsible team.

Specification-to-condition mismatch flags, elevated-risk detail alerts, and checks of documented preparation, thickness and curing against the specified system. It verifies what has been recorded, not the physical coating itself.

No. It is advisory. Technical and quality staff review every flagged risk and remain responsible for the decision.

Through ExpertFlow AI as document intelligence over data sheets, specifications and field records. Expert Services can support discovery, integration and validation with your technical team.

Matching quality depends on the availability and quality of data sheets, specifications and field records. The system can only assess what has been documented, and it flags risks rather than making final specification or field-acceptance decisions.

Specification and field QA

Catch the spec mismatch before the first coat goes on.

Use your existing technical data sheets, project specifications and field records to check whether the specified coating or sealant fits the real project, before a mismatch becomes a repair problem.