ai assistants

Safe and secure AI for your customers and employees

AI assistants and chatbots generate value and save costs through automation or by supporting human employees in their daily tasks. They can be used in customer-facing use-cases, for example as customer support agents or sales assistants, but also internally in the back office. However, AI assistants will only provide an ROI if they are trustworthy and reliable.

We assist you in identifying the appropriate application areas and implementing secure, tailored solutions in your company.

Quality, safety and security is key to ROI on AI investments

AI assistants – especially customer facing ones – must be built to the highest standards with respect to quality, safety, security and potential legal risks.

Quality

AI assistants will only be adopted if they are good at their task and provide a real benefit. Quality must be measured and monitored.

Safety

AI failures like hallucinations (“making up facts”) must be minimized and mitigated.

Security

AI assistants and chatbots must be protected from AI specific cyberattacks like prompt injections.

Legal

Legal risks must be considered from the start, especially in areas like upcoming AI regulation, data protection and copyright.

How do we make sure AI chatbot or assistant is trustworthy?

We have proven methodology for assessing and mitigating risks in AI development, based on our own experience building AI system, and on the current research literature. Each use-case and project, we analyze risk in four dimensions:

Quality: Does the assistant reliably do what it is supposed to do?

Security: Does the AI expose its users to risks, for example by providing wrong answers?

Safety: Is the the AI system vulnerable to AI specific cyberattacks, such as prompt injection?

Legal: Is the system compliant with rules and regulation, such as the upcoming AI act and data protection laws?

For each category there are specific strategies and solutions for risk mitigation, such as AI security benchmarks, which can be integrated in automated system tests, or quality metrics, which must be defined and measured for the individual use-case. In our AI projects we address these risk dimensions – and the efforts required for benchmarking, measuring and migration – from the start.

Why diconium?

Building an AI assistant or chatbot is not particularly hard from technical point of view. But making it trustworthy and reliable requires experience, deep technical expertise, and use-case specific measure to mitigate the risks.

Our multidisciplinary team of more than 200 data and AI experts is your implementation partner for customized use cases in the field of artificial intelligence and generative AI focusing always on AI quality, safety and security.

FURTHER INSIGHTS

By integrating AI at the core of your business, you can make data-driven decisions, automate processes, and improve customer experiences. Explore more AI insights to make that happen.