Nevmos
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NEVMOS / AI

AI runs the work; you decide how far to trust it.

Inventory, logistics, manufacturing, accounting and payroll are full of rule-based, repetitive work. That is where AI adds the most value. In Nevmos, AI runs these processes, but always inside limits your organisation sets.

AI

Four levels

LevelWhat the AI doesExample
ObserveReads, alerts, explains"Stock turnover dropped this month."
SuggestPrepares; a person approvesA draft correction for a count difference
Automatic below a thresholdHandles work below a set threshold itself; sends the rest for approvalA reorder below a set amount
Fully automaticActs itself; a person reviews afterwardsRearranging warehouse locations

Every process starts at "suggest" in a new installation. Your organisation raises the level as its trust grows.

What never changes, at any level

  • Bookkeeping rules: double-entry balance, closed-period lock, correction by reversing entry.
  • Legal filings: e-invoices, e-ledgers and statutory declarations go out only with a person's final approval.
  • Explainability: every action is marked as AI, with its reasoning and the records it relied on.
  • Limits: amount and quantity thresholds, a daily action cap.
  • Stop switch: one click drops the AI in a process back to observe.
  • Test first: every new rule and level change runs on a copy of your data first.

An assistant on every screen

Ask the AI bar: "Show my overdue tasks", "How many deals did we win this month?", "Add an industry field to companies." The system calculates the numbers and the AI writes the answer; suggested changes are published after preview and approval.

Calculation language

Your own rules, such as bonuses, cost allocation and reorder points, are written in a readable, bounded calculation language. Every result shows how it was calculated. Statutory calculations such as tax and social security are written by Nevmos and arrive as signed updates; your organisation can see the parameters.

An illustrative workflow

AI

Illustrative scenario — not a customer case study.

AI prepares a replenishment request. A person checks its source, quantity and permitted scope before deciding. Automation expands only after the process has been evaluated.

01

Define

02

Preview

03

Human approval

04

Run

Evaluate the pilot

Compare the current process with the pilot: waiting time, missing information, rework and traceability. Agree on success criteria before expanding.

NEVMOS

Let’s start with your process.

Choose one workflow. Map its rules. See what changes for your team.

Request a pilot call