At the end of 2024, 75% of workers whose jobs revolve around information were using generative artificial intelligence (gen AI)  at work; 46% of those had started using it in the last six months.  It’s evident that these AI tools have the potential to shape businesses, at all levels. However, their risks and limitations are also becoming clear. 

The question today is not whether to explore using generative AI in business, but how to make the most of the technology while ensuring the organization’s ethical and safety standards are met.

Trade credit insurance protects your account receivables enabling you to trade, expand domestically and abroad without the risk of bad debt.

How AI is changing the way we work

Gen AI is gaining ground as employees around the world – in industries ranging from finance to healthcare – experiment with the new technology. And its appeal is unprecedented: where traditional AI can manage tasks such as translating a text or predict an outcome based on trends, gen AI is a sophisticated type of machine learning that processes data to produce new, unique content – including text, images or other outputs. The system uses continuous feedback loops to improve its performance over time, and promises a number of benefits, such as boosted productivity.

For example, it can pull relevant information out of huge numbers of files, and can use ‘optical character recognition’ to interpret hand-written notes and combine them into simple summaries of long and complex documents. These tasks might take a human hours or days, but gen AI can make them much less onerous.

The risks and limits of gen AI

While gen AI can streamline work processes, the technology is rapidly evolving – and an essential consideration in this uncharted landscape is data security. Respect for customers’ and other users’ data must be the highest priority at all times, and data protection must be at the core of all processes for developing new tools.

Gen AI is carefully regulated, and for good reason: it’s essential for organizations – especially in the finance industry – to be able to explain every decision we make. The biggest limit is, currently, gen AI’s lack of transparency. When the technology makes a statement or a decision, we can’t always know where it has pulled the information from, and it won’t always make the same statement in response to the same input. It can also occasionally ‘hallucinate,’ presenting fabricated or incorrect information as fact.

Allianz Trade approaches these tools cautiously. Our teams are vigilant against hallucination errors, and we are careful to ensure full compliance with regulation before any new tool is rolled out.

Gen AI at Allianz Trade: innovation with care

At Group level, we were quick to identify the potential of gen AI, as well as its risks and limitations; Allianz launched its first internal solution in September 2023, offering secure, internal data integration to our teams. And in addition to respecting local regulations on AI, the group has also implemented strong Ethical AI policies to ensure our use is in line with best practice.

Today, Allianz Trade’s data scientists are working on finding uses where gen AI can enhance the expert work done by our teams. We conduct workshops across regions and functions to identify them together, and to help our teams understand how an idea becomes an AI model as well as how to best use AI. Some of our projects and solutions can benefit every team, and some are more specific to a function and its needs.

One clear benefit is to our credit analysts: our business relies on enormous sets of data, which gen AI can help us unlock more quickly and efficiently. It can take on time-consuming work like sorting and summarizing information, leaving our people free to concentrate on more critical tasks, such as making decisions on complex credit assessments.

For our data science team, potential uses include computer programming, as it enables people to code in natural language, explaining in their own words what they want. And for our sales and commercial teams, we are working on an AI-powered tool to create clean slide decks for customer meetings.

A future focused on integrity and accountability

Our teams’ unique skills remain the core of our business, and our work with AI is designed to give them the best equipment to execute our strategy. Gen AI has already added significant value to our teams, and as its capacities advance we will continually evaluate how to adapt these transformative technologies to our business, with a focus on compliance, security and ethics.

We are supporting our teams as they navigate these new tools. The technology is developing quickly, and Allianz Trade is working to get the best from this rapid innovation, while still keeping integrity and accountability at the center of our approach.

Got questions?
Connect with our expert ↓ 
Felipe Rugeles Ospina

Basile Calderan
Group Data Science Manager
Allianz Trade

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Allianz Trade is the global leader in  trade credit insurance and  credit management, offering tailored solutions to mitigate the risks associated with  bad debt, thereby ensuring the financial stability of businesses. Our products and services help companies with  risk management, cash flow management, accounts receivables protection,  Surety bonds business fraud Insurance debt collection processes and  e-commerce credit insurance ensuring the financial resilience for our client’s businesses. Our expertise in risk mitigation and finance positions us as trusted advisors, enabling businesses aspiring for global success to expand into international markets with confidence.

Our business is built on supporting relationships between people and organizations, relationships that extend across frontiers of all kinds - geographical, financial, industrial, and more. We are constantly aware that our work has an impact on the communities we serve and that we have a duty to help and support others. At Allianz Trade, we are strongly committed to fairness for all without discrimination, among our own people and in our many relationships with those outside our business.