Put an agent on it.
Agents, when and where you need them.
The work you’d hand to an agent is the work that never fit your systems. It lives in the spreadsheet bridging two applications, or in the inbox where approvals actually happen. That’s Shadow ERP™, and most agents can’t reach it. They ship with a fixed menu of actions, and anything outside the menu goes back in the IT queue.
A Nextworld agent starts with a working set of tools, delivered through MCP, the open standard for connecting AI to business software. It can query your data, act on your records, and use what the platform already does, from the moment it exists. And when a request runs past anything it was set up for, the agent writes its own logic and runs it in a governed sandbox, computing the answer rather than guessing at it.
1 click
100%
2-way
24/7
Agents already doing the work.
Real processes, handled by agents the process owners built themselves.
The hard part is already done.
From any application, one click stands up a working agent in under a minute, already connected to that application’s data and equipped with the tools to use it. The setup other platforms treat as the project is the part that’s already finished.
From there you shape how it behaves. A persona defines what the agent is responsible for and how it approaches the work. Skills give it consistent handling for multi-step tasks, including when to step in and when to ask first. One agent can carry a lot on its own, and when work runs past what it’s responsible for, it hands off to another.
Ask it, or don’t.
Some agents work in conversation. Ed, named for Nextworld’s founder, is the assistant reachable from anywhere on the platform: you ask, and he handles what he can or routes the rest to whichever agent fits. Others never get asked at all, and run on the schedules and triggers you set.
AI you can account for.
Every step, traced.
Open a run and read it message by message: each tool call, each model call, how long it took, what came back. The same view shows what’s waiting on your input, what ran clean, and what errored, per agent or rolled up across all of them. That includes the ones that ran on a schedule overnight, which you can read the next morning like any other run.
Every credit, counted.
Watch what an agent consumes as it works, down to the agent, the conversation, and the user. You’ll know what a process costs to automate before you scale it across the business.
That’s real ROI: return on intelligence, on the record.
FAQ
You’ve already got an agent in mind.
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