Our expertise
AI in Retail Banking
Artificial intelligence presents a tremendous opportunity to rethink customer relationships and service in retail banking. The technology also makes it possible to achieve operational efficiency and better detect fraud attempts.
AI For Retail Banking
Three priority use cases for rethinking customer relationships and service in retail banking.
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24/7 Conversational AI Agents
- 24⁄7 Interactions – Always available to handle simple customer inquiries, enabling an immediate response.
- Basic Operations – Performs basic tasks and helps the client become independent.
- Identifying Complex Cases – Identifies issues and escalates complex cases.
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Enhanced Customer Journey and Experience
- Specialized AI for the Customer Journey – Analyzes and suggests improvements to streamline the customer journey.
- Support customers – Supports clients through challenging customers journeys.
- Suggest actions to the customer– Identifies opportunities and presents them to the client.
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Co-pilot for Advisors
- Collects and organizes customer information – Prepare for and assist with the meeting.
- Provides product and regulatory information – Proposes and provides the relevant information to the advisor.
- Assists with follow-up – Take notes, update files, and track follow-up actions.
Beyond these use cases, we help identify additional AI-driven opportunities tailored to your specific strategic priorities.
Contact us to explore the full potential of agentic AI in Retail Banking.
How can we help you?
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Governance
Define, structure, and exercise control over AI
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Operating Model
Deploy AI and drive its business value
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Technology
Make choices that are safe, economic, model-agnostic
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Change
Accompany adoption and re-skilling