Case study · Science and Technology
Compliance reviewinside the perimeter.
A leading global science and technology company with significant operations in compliance-heavy areas: procurement, ESG reporting and supplier management. It carried heavy manual review workloads across data processing agreements, contracts, ESG reports and supplier documents. Its compliance work demanded accuracy and consistent interpretation that manual review could not hold. ESG and supplier carbon data was unstructured and scattered, so extracting it was slow and labor-intensive, and localization and dual-sourcing analysis meant consolidating supplier and material data by hand.
Constraints and answers
Sensitive documents that cannot leave the building.
The copilot that stayed inside the perimeter
Four document types, all reviewed by hand
Large volumes of data processing agreements, contracts, ESG reports and supplier documents all required heavy manual review.
Answer
AI copilot inside the secure environment
Deployed within the client’s own secure environment to process contracts, ESG reports and supplier documents, so nothing sensitive leaves it.
Grading rules that demand consistent interpretation
Compliance work under national data protection and information security grading rules demanded accuracy and consistent interpretation, which is hard to hold manually.
Answer
Clause extraction and risk identification
Automated clause extraction and compliance risk identification, producing structured outputs for legal, privacy, ESG and procurement teams.
Carbon data scattered across unstructured documents
ESG and supplier carbon data was unstructured and scattered, which made extraction slow and labor-intensive.
Answer
Unstructured to structured conversion
Scattered supplier documents turned into standardized ESG and carbon-footprint data.
Dual-sourcing analysis consolidated by hand
Localization and dual-sourcing analysis required manual consolidation of supplier and material data.
Answer
Dual-sourcing decision support
Supplier and material grouping automated, with risk-based recommendations behind each one.
Nothing leaves the perimeter, which is why the copilot is allowed inside it.
The results
Four document categories automated, all of it on-premise.
- 4
- DOCUMENT CATEGORIES AUTOMATED
- Data processing agreements, contracts, ESG reports and supplier documents.
- ON-PREMISE DEPLOYMENT
- Secure on-premise deployment meeting national data protection and security grading requirements.
- PROOF OF CONCEPT TO MEASURABLE GAINS
- Measurable improvement in review speed, accuracy and reporting efficiency.
Three results, and the one that won the project was the deployment model.
The stack
What was deployed
A compliant AI copilot operating inside the client’s own secure environment for sensitive document processing.
Automated analysis of contracts and data processing agreements, with structured risk outputs for legal and privacy teams.
Unstructured supplier documents converted into standardized ESG and carbon-footprint datasets.
Dual-sourcing analysis automated, with intelligent supplier and material consolidation and risk assessment.
Note on Capabilities
The capabilities, credentials and deployment references shown across this site reflect the collective work of Amanah's core engineering team. Certain engagements were delivered under prior or affiliated entities. Sovereign deployments are confidential by mandate, so individual customers are not named. The underlying references are verifiable under NDA.
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