While many professionals worry about Artificial Intelligence (AI) replacing human judgement, some companies are tackling these concerns head-on. Marcura, a maritime solutions provider, has developed an approach that keeps humans firmly in the loop while addressing industry-specific needs. This case study highlights their methods.
Marcura has been introducing AI-driven features into its products for compliance, chartering, and operations. However, as it began integrating AI into these solutions, it encountered the usual reservations from its shipping clients. The company manages AI concerns in the following ways.
Integrating Academic and Artificial Intelligence
Marcura takes a hybrid approach by combining academic intelligence (human expertise and critical thinking) with AI (algorithmic and data-driven tools). This allows them to make AI decisions more contextual, accurate, and aligned with operational realities.
Keeping the Human in the Loop
Marcura’s core AI philosophy centres on augmentation over automation. The company focuses on deliberately not aiming to replace human work but to enhance existing workflows. The design principle is that the user is always in charge. For instance, if their AI recommends an improvement, it’s presented as a suggestion and the user decides whether to accept or ignore it. The interface allows users to give feedback.
Alignment with Industry Needs
By spending 80% of its time researching what the industry truly needs, Marcura is focused on a user-centred development approach. This means its AI solutions are tailored to actual workflow needs and pain points.
Context-Aware AI Deployment
Marcura’s AI solutions are tailored to align with each customer’s existing operational context, rather than enforcing rigid automation frameworks. These systems are purpose-built for maritime applications. For instance, the charter party analysis tool can scan documents in seconds, a task that would typically take hours to complete manually and is prone to human error. In one example, a dry bulk operator avoided potential losses of over $120,000 by identifying four critical clauses that had been omitted from a draft agreement.
Recognising That Data Privacy is Paramount
Marcura set up each client’s AI environment such that all data and even the AI models fine-tuned on that data are owned by the client. “We operate in dedicated, secure environments,” Janani Yagnamurthy, VP Analytics at Marcura explained. Clients’ contract data and voyage records for example, are not mixed on a central server; instead, they often reside in a private cloud with strict access.
Takeaway: Responsible pilots, clear accountability, and a culture of transparency can build trust before rules are written.
For further insight into the areas highlighted in this article, download our thought leadership report, Beyond The Hype, created in partnership with Marcura.
