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Artificial Intelligence in Banking
AI is the number one driver of business reinvention. We can help you accelerate change.
Unlock the Potential of AI.
Empower your finance, risk, and treasury teams with AI solutions that streamline operations, optimise decision-making, enhance risk management, and simplify complex processes.
At Revvence, we help our clients rapidly realise the transformative potential of AI and Generative AI to reduce costs, automate workflows, and provide new insights.
Automation
Transform operational efficiency and lower costs by automating repetitive tasks and creating autonomous processes.
Advanced Modelling
The advanced modelling capabilities of AI can transform every critical decision and strategy within a bank.
Personalisation & Precision
Banks can deliver personalised products at scale and speed and operate with a level of precision they have never seen before.
Generative AI.
Generative AI automates content creation, improves reporting, and personalises customer experiences. It is particularly valuable for generating tailored product recommendations, financial summaries, and regulatory reports.
AI Agents.
From chatbots to autonomous workers, AI agents can perform complex multi-step processes, which are critical in areas such as fraud detection, regulatory reporting, and compliance processes.
Algorithms.
Algorithms are the backbone of predictive analytics, risk scoring, modelling, and anomaly detection. While algorithms operate behind the scenes, they are critical to delivering scalable AI capabilities in every aspect of banking.
Retrieval-Augmented Generation (RAG).
RAG is an AI approach that combines large language models (LLMs) with a retrieval mechanism to access a bank’s proprietary data, enhancing the relevance and accuracy of generated responses.
Unlike standalone LLMs, which rely solely on pre-trained data, RAG integrates real-time, specific information from internal knowledge and databases, making it especially valuable for delivering precise, context-driven insights in banking.
Potential applications for RAG in banking include Sustainability Reporting, Regulatory Compliance, Fraud, and Report Generation.
Digital Assistants
Chatbots, or Virtual Digital Assistants, are AI-driven tools designed to mimic human conversation. They assist users in real-time by responding to inquiries and performing tasks using natural language processing.
A digital assistant connects to internal databases and content repositories, enabling employees to access vital information quickly and accurately, significantly enhancing productivity and streamlining operations.
In banking, assistants can significantly enhance customer experience and operational efficiency by providing instant, accurate answers and automating routine interactions.
Partnering with Banks to Take AI from Vision to Value.
At Revvence, we partner with leading banks to harness AI's transformative power with proven solutions, including Retrieval-Augmented Generation (RAG), Generative AI (GenAI), Machine Learning (ML), AI Agents, and Digital Assistants.
We can help in several areas:
- Strategy roadmap
- Create Proof-of-Concepts
- Add AI to existing applications
- End-to-End AI deployments
With Revvence, banks can deploy AI quickly to create efficiencies, improve decision-making, and reduce costs.