AI will become the central operating brain of vessel management within the next three years, says leading AI-powered platform Kaiko Systems.

The maritime industry has never been short of data, or complexity – but it has lacked a single, intelligent resource that can turn fragmented information and workflows into timely, actionable decisions, says Emir Kocer, AI Product and Strategy at Kaiko Systems.

“Over the next three years, we believe AI will stop being a collection of tools and instead become the central operating brain of vessel management,” he said.

“When we talk about AI, people often assume it’s about replacing crew. It’s not. It’s about expanding what people can do. Imagine a superintendent confidently managing ten vessels instead of five. Imagine a chief engineer not spending any time buried in paperwork and instead making proactive safety decisions. That’s where AI comes in, by relieving humans of repetitive, error-prone work so they can focus on the job they want to do.”

Kaiko Systems provides ship managers and owners an end-to-end, AI-powered platform to digitise frontline workflows, collaborate between ship and shore, and analyse vessel health and compliance data at scale. It is addressing the issue of complex inspections onboard and now onshore, as well preparing crew for the new SIRE 2.0 regime that came into effect this year.

Its AI product, KAI, already lightens crew workloads with automated inspection support, corrosion detection, condition analysis, and summaries that capture what was found, where, and why it matters. These tools free up time and standardise quality.

“Automation to assist crew reporting is the easy part,” added Mr Kocer.

He explained: “The real transformation for AI comes with its ability to predict potential faults and recommend human action. Human eyes miss weak signals. But AI doesn’t. It can say: ‘This anomaly suggests a maintenance action is required in three months. Fix it now, avoid downtime later.’ That is the leap, from reporting what went wrong to preventing it in the first place.

“This is why we see the rise of AI as inevitable in shipping. It’s not about buzzwords; it’s about operational resilience. Ship owners who embrace it now have a competitive advantage. Those who don’t will struggle to keep up.”

Looking ahead, Kaiko Systems is looking at document ingestion – turning PDFs, forms, and logs into structured, searchable data.

“Only then can ship managers compare performance, track trends, and make data-driven decisions across fleets based on verified vessel-focused information,” Mr Kocer said.

Kaiko Systems predicts that over the next five years the industry will not be referring to AI as an app, but the intelligence that makes the whole operating system of a vessel smarter.

That means:

• A unified vessel memory across inspections and maintenance;
• Predictive maintenance scoring that evolves with every datapoint;
• Proactive workflows that generate tasks and documentation automatically;
• Cross-domain reasoning that connects hull condition, weather, and operations to predict failure before it happens.

Mr Kocer added: “Longer term, we could witness vessel-specific AI agents. Digital chiefs of staff and TSI assistants that know a ship inside out – its history, condition, and operational profile. They won’t replace the crew, but they will augment them, providing memory, foresight, and guidance.”