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ajan.io

Make manufacturing knowledge usable on the floor.

Bring procedures, maintenance history, machine data, and work orders together with AI agents. Help operators reach the right information faster, route failures into the right processes, and keep maintenance work moving under control.

  • Procedures
  • Maintenance
  • Work orders
  • Alarms
  • Shifts
  • Quality
  • Approval

Low hydraulic pressureHydraulic press H-3 Β· Press line 3 Β· B shift

Sample scenario

β€œThe press slowed down; the pressure gauge is below normal.”

Procedure: H-3 Maintenance Manual Β§7 Β· Pressure loss

Check steps from the manual0/4

Tick the steps as you complete them on the floor.

Past maintenance records

  • Filter change Β· 41 days ago
  • Same alarm Β· twice in the last 90 days

The agent supports decisions; safety procedures and permissions stay intact.

It speeds up knowledge. It does not remove control.

The safety boundary is yours to define

  • It doesn't run equipment

    You don't need to give the agent machine control or safety-system access; it works on the knowledge and work-order side.

  • It doesn't replace procedure

    It brings check steps from your approved procedures and can be set to say so rather than produce an instruction with no source.

  • It asks at critical steps

    Steps like opening a work order, requesting parts, or stopping a line can require an authorized person's approval.

  • It records every step

    Which procedure was shown, which check was ticked, and who approved stay in the process record.

Turn the right knowledge into the right action at the right moment.

Move technical knowledge into the operational process.

On the plant floor, knowledge isn’t enough if it is merely findable. It must be reachable when the operator needs it, tied to the right equipment, and ready to apply. ajan.io moves corporate technical knowledge into the operational process.

  1. Finds technical knowledge

    Reaches the right source in manuals, procedures, and maintenance instructions.

  2. Checks history

    Brings similar failure and intervention records into context.

  3. Offers safe steps

    Suggests control steps aligned with procedure.

  4. Prepares work orders

    Starts the maintenance process in a controlled way if the issue continues.

Turn an equipment failure into a work order without hunting for knowledge

From failure signal to maintenance action β€” in the same process.

  1. 01

    Operator reports the problem

    β€œTemperature alarm on packaging line 3.”

  2. 02

    Equipment is identified

  3. 03

    Technical documents are found

  4. 04

    Past maintenance records are checked

  5. 05

    AI evaluates the situation

  6. 06

    Safe check steps are offered

  7. 07

    If the issue continues, a work order is prepared

  8. 08

    Required approval / assignment is completed

  9. 09

    Maintenance outcome is recorded

Example scenarios

  • Maintenance knowledge agent

    Finds the right information in manuals, procedures, and maintenance instructions.

  • Failure triage

    Classifies the problem and routes it into the right maintenance process.

  • Work-order prep

    Creates a maintenance work order from the current context.

  • Past maintenance analysis

    Summarizes similar failures and interventions.

  • Production procedures

    Helps operators reach the right instruction quickly.

  • Shift summary

    Hands open problems and pending work to the next shift.

  • Quality processes

    Gathers related procedures and records in one context.

  • Maintenance approval

    Routes critical or costly interventions to an authorized person.

From the floor to planning: who gains what?

Manufacturing has the knowledge, but it often sits in the wrong place. The agent brings what each role looks for next to the work.

  • Operator

    The right procedure and check steps at the moment of a fault, without searching manuals.

  • Maintenance technician

    Equipment history, similar faults, and a complete work order.

  • Shift supervisor

    Shift summary, open work orders, and pending approvals.

  • Quality and process engineer

    Recurring faults, nonconformance records, and procedure updates.

Technical knowledge and work orders in one place

The agent uses manuals and procedures as knowledge sources, reads records in maintenance and production systems, and prepares the actions you permit.

  • Manuals and procedures
  • Maintenance management system
  • Production system
  • Quality records
  • ERP
  • Teams and Slack

Connections are set up through ready integrations, MCP servers, or your own API. If your maintenance or production software has no ready connection, it can be defined as a custom integration.

The agent brings the knowledge; the authorized person decides

You decide which actions are automatic and which need approval. A common starting setup for production teams:

The agent does

  • Brings the relevant procedure and check steps for a fault
  • Summarizes the equipment's maintenance history and similar faults
  • Prepares a work order draft with complete fields
  • Summarizes open work at the end of the shift

An authorized person approves

  • Opening a work order and its priority
  • Spare part and purchase requests
  • Restarting the line
  • Procedure changes

Example prompts

  • What does our maintenance procedure say about this alarm?
  • Has this machine had a similar failure in the last 6 months?
  • The issue continues β€” prepare a maintenance work order.
  • Show open maintenance work that could affect production today.

Not one AI feature β€” a working system

Work in your industry runs on the same ajan.io architecture.

  • Your company knowledge

    Lets the agent know your company and your rules.

    Equipment manuals, work instructions, safety procedures

  • AI agents

    Evaluate information and decide what work to do next.

    Maintenance knowledge agent, fault triage agent

  • Integrations

    Pull data from existing systems and take permitted actions.

    Maintenance, production, quality, and ERP connections

  • Workflows

    Manage multiple steps, conditions, and waits in one process.

    Maintenance process from fault to work order

  • Human approval

    Keeps critical decisions with the right person.

    Approval for work orders and part requests

  • Governance

    Keeps access, usage, and AI costs under control.

    Access and usage by line and shift

Knowledge + decision + action + process. One platform.

Not just AI chat β€” a layer that runs work

AI chat onlyajan.io
Answers a questionFinds knowledge, evaluates, and advances the work
Works from user-provided contextUses company knowledge and system context
Generates textCan act in systems
Ends in one interactionCan start multi-step workflows
The user tracks progressCan keep process state
Fully manual or fully automaticCan require human approval at critical points
Model-centricWork-process-centric

Help floor teams reach the right knowledge faster.

Leave procedure lookup, history checks, and work-order prep to agents at the moment of failure. Operators and maintenance teams can focus on safe action instead of searching for information.

First agent: the manual assistant

Start with the knowledge the floor searches for most. Even one line's manuals cut the time operators spend searching; add the work-order step later.

1

Upload the manuals

One line's equipment manuals and work instructions are enough.

2

Turn on the source limit

Have the agent answer only from approved documents and show its source.

3

Try it on a shift

Open it for one shift on Teams or a tablet and review the questions.

Questions manufacturing teams ask

What people ask most before opening an agent on the floor.

All FAQs

You decide which actions are open to the agent. Maintenance and production teams usually use it on the knowledge, records, and work-order side; it is not designed for machine control.

Turn your technical knowledge into an agent that works on the floor.

Start free Β· No credit card required