CASE STUDY 1: Pre-Failure Analysis for Equipment Maintenance

Problem: Analysis can take 3 to 4 hours.
- time consuming retrieval
- tedious cross-referencing across different documents and sources.
- information overload.

Scope:
1. AI chatbot for retrieval of information from internal technical documents.
2. Integration with live equipment sensor data.
3. Multivariate-correlation across multi sensors data to identify key variables prior to failure events.

Vimeo video preview image

CASE STUDY 2: Post-Failure Analysis for Forensic Engineering

Problem: Existing reporting software lacks references against industry standards.

"Engineers rely on familiarity with specific sections of industry standards to support their findings. This leads to a risk of overlooking important sections within technical documentation"

Scope:
1. Extract technical information from industry standards based on input from engineers upon reporting on-site.
2. Integrate technical inputs from standards to existing reporting software.

Vimeo video preview image

CASE STUDY 3: Automated Contract Review

Problem: Contract review takes days.
“Which of these clauses deviate from internal legal standards?” 

“Are the clauses in our favour? 

Petronas legal team reviews multiple agreements weekly to verify alignment with PETRONAS policies and guidelines including strict adherence to IP rights and regulations. 

V-Cred knowledge management and automation solutions streamline the contract review process. 

Vimeo video preview image