Every vessel inspection your fleet undergoes – SIRE 2.0, RightShip, or your own custom regime – produces a report packed with findings, evidence, and hard-won operational detail. Multiply that across years of inspections and dozens of vessels, and you have an enormous amount of institutional knowledge sitting in PDFs that almost nobody actually goes back and reads.
Ask a superintendent how a specific question was answered on a vessel’s last SIRE inspection, and the honest answer is usually: “let me dig through the report and get back to you.” That “digging” is often hours of searching across hundreds of pages, repeated every time someone needs an answer that already exists somewhere in your archive.
We built AI-Powered Inspection Q&A to close that gap.
Instead of manually searching a report PDF, you ask the question – either in plain language, or by selecting it directly from the SIRE, RightShip, or your own custom inspection question library – and the system returns an instant answer, pulled from the exact page of the relevant report, with the supporting evidence attached.
It’s not a generic AI model with a document bolted on. The system is trained on your own fleet’s inspection history, so it already understands your chapter structures, your finding formats, and – critically – the specific criteria in any custom questionnaires unique to your operation. It speaks your fleet’s language from day one.
On the surface, “search my PDFs faster” sounds like a nice-to-have. In practice, it changes three things that matter a lot in vessel inspection work:
Preparation gets sharper. Before any inspection – regulatory or custom – your team can pull up exactly how the vessel answered every relevant question last time, including the evidence that was accepted or challenged. Walking in already knowing the vessel’s history changes how prepared an inspection team actually is.
Patterns become visible. A single deficiency on one inspection might be a one-off. The same deficiency showing up across three inspections and two vessels is a systemic issue – but only if someone notices. Because every answer is tied back to a structured question ID, spotting that pattern across your fleet stops depending on someone’s memory and starts being something the system can just show you.
Knowledge stops living only in senior staff’s heads. Every operator has that one person who “just knows” how a certain question tends to get handled, or what evidence usually satisfies a particular inspector. That knowledge is valuable – and it’s also a single point of failure. Making it searchable means new inspectors and reviewers can draw on years of fleet history from their first week, not their fifth year.
A deliberate design choice here: SIRE 2.0, RightShip, and your own custom inspection questionnaires all live in the same searchable knowledge base. There’s no separate tool for regulatory inspections and another for internal ones, and no need to remember which format a particular question came from. If it’s an inspection your fleet runs, it’s in there.
None of this replaces the judgment of an experienced inspector. What it does is remove the friction between “I need to know how we handled this before” and actually knowing – so your team spends less time searching and more time acting on what actually matters: the real risk sitting somewhere in your fleet’s inspection history.
Turn Your Inspection History Into Actionable Fleet Intelligence.
Discover how AI can help your team search SIRE 2.0, RightShip, and custom inspection reports faster. Talk to Proses India today.
