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.
No credit card required.
- Procedures
- Maintenance
- Work orders
- Alarms
- Shifts
- Quality
- Approval
Low hydraulic pressureHydraulic press H-3 Β· Press line 3 Β· B shift
Sample scenarioβThe press slowed down; the pressure gauge is below normal.β
Procedure: H-3 Maintenance Manual Β§7 Β· Pressure loss
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 isnβt 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.
Finds technical knowledge
Reaches the right source in manuals, procedures, and maintenance instructions.
Checks history
Brings similar failure and intervention records into context.
Offers safe steps
Suggests control steps aligned with procedure.
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.
- 01
Operator reports the problem
βTemperature alarm on packaging line 3.β
- 02
Equipment is identified
- 03
Technical documents are found
- 04
Past maintenance records are checked
- 05
AI evaluates the situation
- 06
Safe check steps are offered
- 07
If the issue continues, a work order is prepared
- 08
Required approval / assignment is completed
- 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 only | ajan.io |
|---|---|
| Answers a question | Finds knowledge, evaluates, and advances the work |
| Works from user-provided context | Uses company knowledge and system context |
| Generates text | Can act in systems |
| Ends in one interaction | Can start multi-step workflows |
| The user tracks progress | Can keep process state |
| Fully manual or fully automatic | Can require human approval at critical points |
| Model-centric | Work-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.
Upload the manuals
One line's equipment manuals and work instructions are enough.
Turn on the source limit
Have the agent answer only from approved documents and show its source.
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 FAQsYou 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
