Case Study

The Power of AI Co-pilot: Pesawise Cuts Narrative Creation to 3 Minutes

profile icon
B2B payments
building icon
world icon

Branding itself as a 'one-stop-shop,' Pesawise has been transforming the B2B payments landscape across Africa since its inception in 2020. The company specializes in both cross-border and local payment acceptance and disbursements through a variety of channels, including cards, mobile money, and bank transfers.

Committed to their founding principle that transactions should be seamless, secure, and cost-effective, Pesawise has experienced significant growth. However, expansion always presents challenges, and in a highly-regulated environment, adhering to industry standards and regulatory compliance is something Pesawise could not compromise on.

Flagright’s exceptional customer support has played a pivotal role in facilitating the expansion of our AML operations. They efficiently address all our requests.
Viktorija Gudeliauskiene
Head of AML Operations at kevin.
Flagright logo
Stop financial crime, secure payments
Talk to sales

The Challenge

Being a licensed Payment Service Provider, effective managing and documenting suspicious transactions and cases were crucial for Pesawise, but as highlighted by the CEO and co-founder Jamal Khan, they faced several major challenges:

  1. Manual Case Documentation: Pesawise's team dedicated significant time to manually writing case closure narratives, which was both time-consuming and prone to errors.
  2. Inconsistent Narratives: The manual approach often resulted in inconsistencies in the case closure narratives, making it difficult for regulators and auditors to understand the context and actions taken.
  3. Resource Intensiveness: The labor-intensive nature of manual documentation limited Pesawise's ability to concentrate on core business operations.

The Solution

In response to challenges witnessed not only by Pesawise but also by other industry participants, Flagright introduced the AI-narrative Co-pilot feature. This tool leverages AI to streamline the creation of narratives based on investigation data, aiding customers in producing automated, templated narratives.

Our choice to explore Flagright's 'AI Narrative Co-Pilot' was motivated not only by its impressive technology but also by the exceptional customer support we encountered. Flagright's support team demonstrated a profound grasp of our concerns and needs, promptly addressing our queries and ensuring complete clarity on how 'AI Narrative Co-Pilot' could elevate our AML operations"

Jamal Khan
CEO and co-founder of Pesawise

Jihan Imam, overseeing AML compliance as the MLRO of Pesawise, became the power user of the feature, noting the impact from day one. With the help of the Co-pilot, Pesawise reduced the time spent on narrative writing significantly. Moreover, previous inconsistencies faced during narrative writing or when comparing narratives between different alerts were resolved, as the AI captures details humans can easily miss. Importantly, the final decision on the narrative remains with the user, leveraging AI without ceding control over case investigation.

Flagright's intuitive but sophisticated solution elevated Pesawise's efficiency and quality of case investigation on multiple fronts:

  1. Data ingestion and analysis - AI Co-pilot rigorously analyzes vast data, encompassing transaction records, customer profiles, historical case narratives, and contextual details, sourced from Pesawise's previous AML cases and alerts.
  2. Machine learning algorithms - AI Co-pilot uses machine learning algorithms trained on Pesawise's historical data to detect AML-specific patterns, including suspicious transaction types, customer behaviours, and key risk indicators from Pesawise's cases.
  3. Contextual understanding
- ‘AI narrative co-pilot’ excels in grasping Pesawise's case context, identifying financial activity types, involved parties, alert severity, and relevant mitigating or aggravating factors, all customized for Pesawise's operations.
  4. Template generation - Leveraging its analysis and contextual understanding of Pesawise's data, the ‘AI narrative co-pilot’ generates automated case closure templates. These templates align seamlessly with Pesawise's needs, comprising sections for critical details, risk assessments, and recommended actions.
  5. Content generation - 'AI narrative co-pilot’ fills the templates with specific information from Pesawise's current case, smoothly extracting and integrating relevant data points from alerts or case history for highly customized narratives.
  6. Review and editing - ‘AI narrative co-pilot’ automates narrative generation but permits human review and editing. Pesawise's compliance officers or analysts can refine the generated narratives, incorporating context or insights to align with Pesawise's specific processes.
  7. Standardization and compliance - ‘AI narrative co-pilot’ ensures strict standardization in Pesawise's narrative creation, crucial for regulatory compliance and audits, guaranteeing consistent documentation of essential information.
  8. Time and resource savings - ‘AI narrative co-pilot’ reduces Pesawise's compliance teams' time and effort by automating case closure narrative creation. This efficiency allows Pesawise to allocate resources more effectively to complex tasks and investigations.
  9. Continuous learning - ‘AI narrative co-pilot’ continually learns and adapts by processing new Pesawise cases and alerts, enhancing its narrative generation capabilities to address evolving AML challenges more effectively.

Pesawise had significant concerns regarding the security and privacy of their financial data, especially in the context of regulatory compliance. Flagright's system alleviated these worries by implementing robust data encryption, access controls, and automated compliance reporting. Additionally, Flagright followed certain key measures to ensure -

  1. Complete transparency to the customer -
Flagright places a strong emphasis on transparency, ensuring that Pesawise is fully informed about how their data is being used. They provide clear documentation and communication regarding data handling, model deployment, and any potential risks associated with the AI system.
  2. Data siloing -
Flagright ensures that Pesawise's data remains isolated within their systems. This means that Pesawise's data is not mixed with data from other sources or clients, reducing the risk of data leakage or unauthorized access.
  3. Data control -
Flagright gives Pesawise granular control over what data is shared with the AI model. Pesawise can define which specific data points are sent to the model, allowing them to withhold sensitive information while still benefiting from AI.
  4. Model Selection
- Flagright provides Pesawise with the flexibility to choose from different AI models. This allows Pesawise to select the model that aligns best with their security and privacy requirements, ensuring that they have options that suit their specific needs.

Flagright's system has been instrumental in addressing our security and privacy concerns. It has allowed us to manage sensitive data effectively while ensuring strict adherence to regulatory requirements," stated Jihan Imam.

Jihan Imam
MLRO of Pesawise

The Next Phase

Pesawise has received recognition from global payment leaders, validating its commitment to industry standards. Looking ahead, Pesawise plans to enhance its sanctions screening processes and take its suspicious activity reporting (SAR) to the next level. As a trusted partner, Flagright continues to support Pesawise in its commitment to transforming businesses while maintaining the highest standards of financial security.

What sets Flagright apart is the remarkable commitment of their team to serving clients. Their continuous drive to enhance an already outstanding platform has been truly impressive. "I wholeheartedly endorse this tool for any payment-focused business aiming to bolster the security and dependability of their financial transactions,

Flagright's support team demonstrated a profound grasp of our concerns and needs, promptly addressing our queries and ensuring complete clarity on how 'AI Narrative Co-Pilot' could elevate our AML operations."
Jamal Khan
CEO and co-founder

You might be interested in

Explore the solutions that helps our customer stay compliant

Transaction monitoring, sanctions screening and more — integrate the Flagright API for AML compliance & fraud prevention on a flexible, no-code platform.

Real-time transaction monitoring

Transaction monitoring for all AML compliance & fraud use cases.

Case management

Automated end-to-end solution to investigate suspicious activity.

Customer risk assessment engine

Automate customer risk assessment with customizable algorithms.

Sanctions, PEP, AM screening

Screen individuals, businesses, or blockchain wallets in a single API.

Merchant monitoring

Automate monitoring of businesses for potential fraud & AML risks.

Flagright AI

Flagright AI

Automate tasks, detect suspicious activity, decide faster.

Stop financial crime, secure payments

Transaction monitoring, sanctions screening and more — integrate the Flagright API for AML compliance & fraud prevention on a flexible, no-code platform.

Talk to sales

Our partners

Expert team

Our team has built anomaly detection & financial crime solutions in the world’s most innovative companies