Chatbot and Processing Utility for Customer Complaints Prototype

R2A Chatbot Prototype Helps the Philippine Central Bank Sort and Resolve Complaints

The Problem

The current consumer complaints system at the Bangko Sentral ng Pilipinas (the Philippines Central Bank, hereafter BSP) is limited by outdated communication channels, an incomplete database of customer complaints, reliance on manual processing, few analytics tools, low visibility outside of the Metro Manila area, and little consideration for the customer experience. This leaves BSP staff overburdened. BSP requested a solution from R2A to protect financial consumers’ interests, empower financial consumers, and facilitate the development and enforcement of a client-focused financial sector.

The Solution

The proposed system adds new communications channels to amplify the voice of consumers, and has the potential to detect market misconduct and provide insights into the customer experience.

The chatbot solution allows Filipinos to file complaints through their mobile handsets via an app or via SMS. This enables BSP to:

  1. Address queries and complaints through the chatbot.
  2. Manage the structure and flow of automated conversations based on expertise and historical data.
  3. Use data and insights gathered through the chatbot for oversight and policy development.

The prototype will reduce employee workload and response time by delegating mundane and routine tasks to chatbots, saving human labor for more complex or nuanced tasks.

By improving data quality and access and developing new tools for data visualization and analysis, the prototype will support BSP’s efforts to provide all Philippine financial consumers with effective access to a complaint system.

The Competition

In October 2017, R2A published a request for applications for the development of a data request/storage platform and tools for data-driven metrics and insights for the AML department.

A panel of judges will award a grant of up to US$100,000 to the winning firm, Sinitic.

Sinitic is a platform that helps enterprises build, deploy, and manage multilingual chatbots. Bots built with Sinitic are connected to messaging apps, websites, and SMS. They deliver high automation rates with features such as human takeover, bot training, and complex integrations.





Chief Technology and Product Officer of Metamaven and Editor-In-Chief of TOPBOTS

Mariya helps automate revenue growth for global companies by identifying new markets, improving conversions, and reducing churn. She is also an author of the book, Applied Artificial Intelligence.


Independent Consultant

John has guided teams through the human-centered design process, from behavioral insights to working prototypes. He collaborates with partner organizations to implement impactful solutions for low-income people. John founded the Financial Health program at the nonprofit design and innovation firm



Founder of MazeCo Limited

Rafael specializes in financial consumer protection and the use of behavioral research for product design and financial regulation, with a recent focus on digital financial services. He has experience in designing and managing field experiments, as well as policy advisory and regulatory work, and authors thought pieces in the areas of financial inclusion and consumer protection.



Director, Inclusive Finance Advocacy; Co-Head, Financial Consumer Protection Department

As head of the Inclusive Finance Advocacy Staff at the Bangko Sentral ng Pilipinas, Pia Roman-Tayag is involved in all of the organization's financial inclusion work, particularly in the areas of policy, and regulation, capacity building, advocacy, and relationship building.

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