Case study · Utilities
A thousand rules,checked every time.
One of the world’s largest electric utilities, among the largest corporations globally by revenue, operating transmission and distribution at national scale and holding energy infrastructure assets across several continents. Its work is building and running power grids that deliver safe, clean and sustainable energy. The scale and regulatory complexity of its contracting, spanning more than 180 contract templates and over 1,000 compliance rules, is what demanded an AI review system: the bottleneck was quality, speed and coordination between departments.
Constraints and answers
A thousand rules is past what a reviewer can hold.
The agent that holds all thousand rules
Uneven reviewer expertise, inconsistent rule execution
Uneven reviewer expertise led to inconsistent rule execution, missed or incorrect reviews, and legal risk.
One review, over a thousand manual checks
Manually checking over 1,000 rules and cross-document references made a single contract review long.
Version comparison done by hand each round
Manual version comparison across multiple rounds slowed collaboration.
Offline coordination between departments and roles
Offline multi-role coordination delayed information sharing and made cross-department work expensive.
Item-by-item checking could not take volume
With no batch review or rule-matching tools, checking ran item by item and could not take volume.
Intelligent contract review agent
Built on an enterprise agentic AI platform, checking contract compliance end to end against the full library of templates and regulatory rules.
Automated rule-matching engine
Cross-references contracts against more than 180 templates and over 1,000 compliance rules at once, with multi-document comparison and batch review.
Human and machine collaboration platform
Multi-role online synchronization, real-time review traceability, and one workflow for cross-department coordination.
Batch processing pipeline
Bulk contract upload with automated compliance verification, replacing item-by-item manual checking.
The rule library stopped being something a person had to remember.
The results
Review 95% faster, at ten times the volume.
- 95%
- REVIEW SPEED IMPROVEMENT
- Batch processing takes high contract volumes and cuts circulation cycles.
- 90%
- COLLABORATION IMPROVEMENT
- A human and machine model that simplifies multi-role coordination.
- 50%
- FEWER EXPERT INQUIRIES
- Unified standards reduce review errors, misses, and legal dispute risk.
- 10x
- CONTRACT PROCESSING CAPACITY
- Contract processing scale raised tenfold.
Traceability is what makes an automated review defensible afterward.
The stack
What was deployed
Central management of more than 180 contract templates and over 1,000 compliance rules, with automated matching and verification.
Integration with the contract management systems and cross-department workflows already in use.
Enterprise-grade security controls holding data protection and regulatory compliance through the whole review process.
A complete audit trail and version control for every review, change and approval across all stakeholders.
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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