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04 / AI Machine & Production ControlSKS ecosystem
DPlanned

Production, engineers, maintenance, operations, management

Machine

AI application to control machine systems, with IoT, real-time monitoring, production scheduling, and preventive maintenance.

01 / OverviewWhy it exists

Vision

AI-driven control and visibility for machines and production, built on the same foundation as the rest of the ecosystem.

The problem it solves

Production teams need live machine data, schedules and maintenance planning in one place, with AI helping spot issues before they stop the line.

How it works in practice

Machine extends the same framework onto the shop floor. It starts as a live view of sensors and status, then adds scheduling and maintenance. Commands to equipment stay permissioned and are never the first feature shipped.

What it ships

  • IoT and machine status dashboards
  • Production schedule with AI suggestions
  • Preventive maintenance views
  • Read-first control path with approvals
02 / Capabilities4 core areas

01

Machine control

Interfaces to machine systems with safe, permissioned commands.

02

IoT monitoring

Real-time sensor and status data from the floor.

03

Production scheduling

AI-assisted planning of jobs across machines.

04

Preventive maintenance

Predict wear and schedule work before failures.

Built with

  • SKS TECH framework
  • IoT gateway
  • Time-series storage
  • Real-time dashboards
03 / Users5 groups
PProduction Team
EEngineers
MMaintenance Team
OOperations Team
MManagement

Primary audience Production, engineers, maintenance, operations, management.

04 / Outcomes & risksWhat good looks like

The goal

Target outcomes

  1. 01

    Less unplanned downtime

  2. 02

    Higher machine utilisation through better schedules

  3. 03

    One shared view for production, engineering and maintenance

The safeguards

Risks & mitigation

  • Safety of machine commands

    Read-only first, then tightly scoped permissions and approvals.

  • Varied machine protocols

    Adapter layer per protocol behind one interface.

05 / Get startedProject D

Project D

In development

This project is in development. Explore Projects for the desktop installers available today.

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