AI Agents in BASSnet Neo: Built to Act, Not Just Answer

How much of your team’s day goes into navigating screens? An AI chatbot may answer questions about data extracted from your system, but not all AI in fleet software can do the work.

AI agents in BASSnet Neo carry out fleet management tasks from a plain-language request. Tell the system what you need, and the agent finds the overdue jobs, checks the stock or creates the requisition. Your team confirms transactions, and agents stop for approval at defined decision points.

Could an agent create a requisition in your system tomorrow?

An AI agent can only act on functions the software exposes. A chat interface without access to platform functions can summarise; an agent that can call API functions can perform supported tasks. The difference lies in the platform underneath.

How it works: built API-first, so AI agents can act

BASSnet Neo is the next-generation, cloud-native maritime fleet management software built on a modern architecture for secure, intuitive and flexible operations across Maintenance, Procurement, Materials, Projects, Documents, HSEQ and Crewing.

That architecture is API-first. When modules are available as callable functions through the BASSnet Neo API, an agent can act on what it finds, not only read a screen.

MCP: the open standard that connects AI agents to BASSnet Neo

AI agents reach that API through MCP (Model Context Protocol), the open standard for connecting AI to software. MCP lets an agent discover the functions BASSnet Neo exposes and call them. You ask in plain language, the agent works out which API functions answer the request, often several at once, calls them, and returns the result or drafts the action for your approval. BASSnet Neo supports multiple LLM providers while customers can connect their own ERP, port and analytics systems through the API.

What can you ask an agent to do?

Anything you would otherwise have had to do by clicking through screens multiple times. For example, in modules where AI agents are available:

• “Show me the overdue jobs for my fleet.”
• “What is the current bearing stock on this vessel?”
• “Create a requisition for three bearing bushes, delivered at Sembawang.”
• “Which crew certificates expire in the next six months?”
• “Log a near-miss: slippery deck on aft station, no injuries.”
• “Generate the failure analysis report for this job and email it to the superintendent.”

Because the API spans modules, an AI agent can work across departments rather than being limited to a single chat window.

What AI agents mean for your fleet team

• AI that does the work, not only answers questions.
• One assistant across applicable modules, from overdue jobs to crew certificates.
• One open standard, via a consistent API foundation and MCP, instead of custom connectors for AI agents.
• Not tied to one AI vendor. MCP is model-agnostic, so the platform keeps pace as AI models improve.
• Governed in one place. Agents act with user confirmation and approval, completed actions are recorded in the audit trail, and your data stays inside BASSnet Neo.
• Less maintenance with managed SaaS delivery, so that new AI capability arrives with your subscription.

What BASSnet Neo brings

AI agents in BASSnet Neo are released module by module and arrive with your subscription.  Each one can replace manual screen navigation and data entry for a range of tasks, whether that is surgically retrieving data against specific criteria, generating reports or creating entries, with your team approving decisions at defined points. Talk to the BASS team about the available AI agents for your modules.

See an AI agent create a requisition from one sentence. Book a demo with the BASS team today.