Incident Report Document Automation

Optimize incident report processing with automated data extraction to enhance safety and response strategies.

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Blank 'INCIDENT REPORT' form with fields for incident details, person involved, witness information, and incident description on a violet background.

Trusted by Industry Leaders Across the Globe

Streamline Data Extraction from Incident Reports

Automatically capture and process key information from incident reports, such as dates, times, participant details, and descriptions, to facilitate a quicker and more accurate response.

Security incident report form with sections for report details, incident specifics, person descriptions, narrative, actions taken, and reporter information, on a blue header background.

Fields that can be extracted:

Date of Incident

Time of Incident

Location of Incident

Description of Incident

Names of Involved Parties

Witness Statements

Type of Incident

Injuries Sustained

Damage Assessment

Reporter Name

And Many More!

Accelerate Response Times

Speed up the initial response to incidents by quickly extracting relevant data from reports, enabling faster decision-making and deployment of necessary actions.

Nexi Group Achieved:

400 hours saved each month by automating the paper-based KYC and AML documentation processes, streamlining the merchant onboarding experience

Enhance Analysis and Reporting

Utilize extracted data to improve the quality of incident analysis and reporting, leading to more informed safety measures and prevention strategies.

Lano achieved:

Near-zero error rate

"When we saw the quality of the automatically retrieved information from a piece of paper, we didn’t want a human comparing or inputting the information. With super.AI it was really reading 99.9% of all the information in the document and allowed us to get rid of this manual process."

– Hagen Gall, Head of Merchant Onboarding and Operations Technology

Reduce Administrative Burden

Minimize the workload involved in manually processing incident reports, freeing up personnel to focus on more critical tasks like safety enhancements and preventive actions.

Bureau Veritas achieved:

$9M saved annually from reduced churn

Bureau Veritas achieved:

$9M saved annually from reduced churn

Improve Data Accuracy

Ensure high levels of data accuracy in incident reporting by reducing human error through automated data extraction.

Lano Unlocked:

New levels of productivity, allowing its team to focus on value-adding activities and strategic growth after automating international pay slip and invoice processing.

Triputra achieved:

98% process automation

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