DTAP integrated Inspech into its operational pavement-assessment workflow and delivered more than 10,000 lane-km through that workflow during the first 12 months. It shows how an inspection provider can scale visual assessment while retaining professional responsibility for validation and client advice.  

Background

DTAP, operating as Pavement Expert, is a Malaysian pavement engineering and consultancy company. Its work combines pavement data analysis with structural, functional and visual condition assessment for road and airport environments.

The company brings more than 15 years of pavement-sector experience and uses a range of testing and analysis methods. Inspech was adopted to strengthen the visual-assessment step within that broader professional service - not to replace the measurements, engineering interpretation or advice surrounding it.

The Challenge

Visual assessment becomes difficult to scale when teams must review large volumes of road imagery frame by frame. The work is time-intensive, consistency can be harder to maintain across inspectors and projects, and clients increasingly expect findings to remain traceable to the underlying imagery and location.

For DTAP, the operational question was therefore broader than whether AI could detect visible pavement distress. The platform needed to fit a real provider workflow, support professional validation and connect visual findings to the wider pavement-engineering service delivered to clients.

The Solution

DTAP integrated Inspech into its pavement-assessment workflow. Compatible road imagery is organised in a georeferenced review environment. Inspech provides AI-assisted recommendations for visible pavement distress, which DTAP inspectors review, adjust or reject before results enter the project record.

Validated visual findings can then be considered alongside the other measurements and investigations required by the assignment. This keeps the visual-assessment step scalable while DTAP remains responsible for methodology, engineering interpretation and client delivery.

DTAP's Operational Workflow

1. Define the assignment: Align the road sections, client question, applicable method and required outputs.
2. Capture and organise: Collect compatible road imagery with the location and road-section context needed for structured review.
3. Assess with Inspech: Use AI-assisted recommendations to work through larger imagery volumes consistently.
4. Validate professionally: Have DTAP inspectors review the visible findings and retain control of the assessment.
5. Integrate and deliver: Combine validated visual evidence with the wider pavement data, analysis and advice required by the client.

The Result

Within the first year of adopting Inspech into its operational workflow, DTAP delivered more than 10,000 lane-km across client assignments using the Inspech-enabled process.

The significance of this result is not only the distance delivered. Inspech moved beyond a demonstration and became part of repeated operational delivery, while DTAP's pavement specialists remained responsible for validation, interpretation and client advice.

Main Advantages

• Operational scale: More compatible road imagery can be reviewed without increasing repetitive manual work in direct proportion to network length.
• Consistent assessment: A structured review environment supports repeatable logic across inspectors, projects and delivery cycles.
• Reviewable evidence: Findings remain connected to georeferenced road imagery and can be explained to clients and stakeholders.
• Professional control: DTAP inspectors validate the visual findings, while engineers retain responsibility for interpretation and advice.
• Engineering continuity: Visual condition evidence can be considered alongside structural and functional pavement investigation.

Lessons Learned

• Operational value appears when Inspech is embedded in the provider's existing delivery chain rather than used as an isolated analysis tool.
• A defined capture configuration and clear validation ownership help teams create a repeatable workflow across projects.
• Agreeing the client question, inspection method and required outputs before processing keeps the visual evidence relevant to the wider engineering assignment.
• AI assistance can increase capacity, but professional inspectors and engineers must continue to own the validated result and client advice.

Get your inspection process flowing

Use a representative route, compatible imagery, the applicable inspection method and your own professionals to validate how Inspech fits your inspection-provider workflow before scaling.