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Navon AI is an advisory firm and operational platform that helps mid-market companies embed AI into their workflows, approvals, and operations. It combines advisory consulting, AI automation engineering, and a coordination platform to improve operational efficiency without replacing existing tools.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 12, 2026

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A good fit for

  • Mid-market companies with 50 to 2,000 employees that have complex operations needing infrastructure but lack enterprise budgets or internal tech teams.

Know the limitations

  • Navon does not replace existing tools or systems unless there is a clear reason; it sits on top of existing CRMs, ERPs, HRIS, document stores, and communication tools.

What you can do

  • Embedding AI into operational workflows to replace manual coordination, routing, and repetitive decisions in mid-market companies.
  • Operational audits and AI strategy development to identify where AI can improve efficiency and reduce time and money leaks.

Features

  • Structured workflows with operational records like approvals, change requests, invoices, and documents moving through defined states with accountability.
  • Live operational intelligence including dashboards, KPIs, and activity logs showing real-time work status.
  • Role-based access with permission enforcement at the data layer to ensure teams see only what they need.
  • Managed AI agents designed per workflow for approvals, document handling, invoice matching, and coordination, deployed in client cloud, VPC, or local hardware.

Integrations

Not confirmed yet.

Platforms & data export

  • The platform runs where client data lives: cloud, virtual private cloud (VPC), or fully local environments.

THE COST FOR YOUR TEAM

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Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

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A practical workflow

  1. Engagements start with an operational audit involving interviews, workflow mapping, and data flow analysis to identify inefficiencies.
  2. Design phase creates purpose-built systems on the platform with custom integrations where needed, avoiding forced templates.
  3. Deployment includes rolling out with the team, training, and ongoing partnership rather than a one-time vendor engagement.

Based on the sources below. Editorial review does not imply hands-on product testing.

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