Contact-centre intelligence
Explore Vietnamese speech and call analysis for customer-service workflows.
Potential measure to discuss
Related capability: AWS AI capabilities ↗Explore this use case →Call review coverage; complaint resolution time
AWS Advanced Tier Services Partner · AWS AI Competency
AI for Vietnamese banks.
Explore how AI can support your financial products, business analytics and customer experience. Start with a use case and the work we have already published.
01 / Explore use cases
Six conversations to start.
These are opportunities to explore with your team. Agree on the data, evaluation criteria and measures of success before choosing a project.
Relationship-manager copilot
Discuss how customer context and AI assistance could support client meetings and CRM workflows.
Potential measure to discuss
Related capability: AI product development ↗Explore this use case →Preparation time; usefulness of recommendations
Financial document analysis
Explore financial data analysis as part of a credit-review workflow.
Potential measure to discuss
Related capability: Promvis ↗Explore this use case →Review time; accuracy of extracted information
Business analytics
Explore natural-language questions and dashboards based on your business metrics.
Potential measure to discuss
Related capability: Presight ↗Explore this use case →Questions answered; analyst workload
Investment assistant
Discuss investment decision support within securities and wealth products.
Potential measure to discuss
Related capability: TPS AI ↗Explore this use case →Usefulness of answers; user engagement
Deepfake detection
Explore on-device deepfake detection as a topic for your identity-verification team.
Potential measure to discuss
Related capability: Ensign collaboration ↗Explore this use case →Detection quality; review effort
02 / Published work
Start with the published evidence.
TPS AI
AI investment support inside TPS Mobile AI, with AWS-backed infrastructure.
Read the case study ↗MB Bank · Presight
An on-premise AI analytics layer integrated with MB Bank's existing Data Warehouse.
Read the case study ↗Ensign collaboration
Published collaboration on an on-device deepfake detection solution.
Read the case study ↗Define the problem. Plan the delivery.
01
Choose a use case
Discuss the business problem, users and existing systems.
02
Review the data
Explore available data, integration needs and deployment constraints with your team.
03
Agree on evaluation
Define how to assess quality and what success would mean for your project.
What would you like to build?
Tell us about your use case and the constraints your team needs to work within.