Building Real-Time Insight Into Payments Through Conversational AI
A bank wanted to enable customers to ask questions and gain instant insights into their payments directly within the banking app - reducing manual processing, minimising errors, standardising responses, and improving visibility into payment trends and operational issues.
Outcomes
80%
Contract Review Time Reduction
99%
Adherence to Internal Guidelines
40%
Cost Savings
0%
Production Data Exposed
Technology Vendors Suited to Evaluation
Business Problem
The bank’s contract management process was slow, inconsistent, and error-prone. Manual reviews delayed decision-making, increased legal and financial risk, and made it difficult to maintain compliance across departments.
Without standardised language, automated checks, or consolidated reporting, the bank lacked visibility into contract terms, exposure, and trends – limiting its ability to manage risk and optimise performance
Challenges
- Time-Consuming Manual Processes: Slow contract reviews delay decisions and strain resources.
- High Error and Risk Exposure: Human errors can lead to missed terms, compliance failures, or financial risks.
- Lack of Standardisation: Inconsistent language and review processes increase risks and inefficiencies.
- Lack of Insights and Reporting: Limited visibility into risks and trends hampers decision-making and compliance.
From Idea to Evidence with NayaOne
The bank used NayaOne’s secure sandbox to validate AI-powered contract analysis tools safely and efficiently.
- Synthetic Contracts: Each vendor received contracts containing predefined errors and key clauses to test detection, summarisation, and accuracy.
- Evaluation Metrics: Vendors were assessed on precision, adherence to internal policies, and turnaround time.
- Fast Decision-Making: The entire evaluation — from setup to vendor selection — was completed within two weeks.
- Safe Evaluation: Testing was conducted in an isolated environment to prevent exposure of live contracts or sensitive information.
- Synthetic Data and Stakeholder Buy-In: The use of synthetic legal data built trust across compliance and legal teams, accelerating executive approval for adoption.
By combining synthetic data, structured evaluation, and a controlled testing environment, the bank gained rapid, risk-free evidence of which AI solution could automate contract review with the highest accuracy and compliance alignment.
Impact Metrics
PoC Timeline Reduction
4 weeks with NayaOne vs 12 – 18 months traditionally
Time Saved in Vendor Evaluation
1+ year
Decision Quality
The bank gained hard evidence on detection accuracy, speed, and integration fit - enabling a data-driven vendor choice and faster approval across risk and procurement.
KPIs
- Contract Review Accuracy (%): Percentage of correctly identified clauses, risks, and errors across test contracts.
- Processing Time (minutes per contract): Average time taken by each AI solution to analyse and summarise a contract.
- Compliance Alignment (%): Adherence to internal legal and regulatory guidelines.
- Error Reduction (%): Improvement in accuracy compared to manual review processes.
- Evaluation Time (days): Duration from initial setup to vendor selection.
- Stakeholder Confidence Score: Measured through feedback from legal, compliance, and procurement teams after sandbox evaluation.
Validate AI Contract Review Tools Before Adoption
Use NayaOne’s secure sandbox to test and compare AI-powered contract analysis solutions with synthetic data – measuring accuracy, compliance alignment, and efficiency before integrating into legal workflows
