Subject guide · Operational work
Prepare maintenance work orders
An AI employee operated by Digamma prepares maintenance and service work orders: bring information together, structure the work order and make open issues visible before an assignment.
Where manual work accumulates
Maintenance leads, dispatch teams and technicians collect asset history, fault codes, manuals, spare-part information, safety requirements and unanswered questions. This preparation repeats across similar service cases and delays handover to technicians.
From intake to handover
- 01
Match ticket and asset
- 02
Assemble history and documents
- 03
Flag missing information and review needs
- 04
Hand the work order to maintenance or dispatch
One connected area of work
These steps describe a potential work scope. Data access, rules, exceptions and handovers are assessed for your process and agreed before the work starts.
- Capture incident tickets, service requests, maintenance work orders, fault codes and related documents from agreed channels.
- Identify the asset, machine, location and available history.
- Assemble matching manuals and available information about spare parts, including their sources.
- Flag missing details and safety requirements stated in the sources for review.
- Deliver the prepared work order into the agreed handover or system state.
When a work assessment makes sense
- Recurring maintenance, service or repair cases.
- Manual document searches and incomplete tickets before an assignment.
- Accessible asset history and a responsible technical team.
Managed Work
The work continues after implementation.
Digamma combines the agreed processing steps with ongoing technical operation. This includes processing monitoring, technical error handling and agreed adjustments. Service hours, review tasks and escalation paths are defined in the scope of work.
Explore the operating model on digamma.io ↗Work in your existing systems
CMMS, EAM, ticketing systems, ERP and technical document repositories. Supported data, write permissions and handovers are agreed for the specific process.
Digital employees and AI agents execute the work steps. Sources, checks and open issues remain traceable for the agreed handover. Your team makes business and commercial decisions according to the defined approval rules.
Digital employees for operational work
Order intake and procurement are concrete starting points: capture customer orders or internal purchase requests, check information and deliver the agreed result. We assess further areas of work against their inputs, rules, systems and responsibilities.
Explore digital employees →Related subjects
Review procurement requests
Digamma handles your procurement requests with an AI employee, from the internal purchase request to a prepared approval. Scope, rules and ongoing operation are agreed together.
Read subject guide →Clarify master data exceptions
Digamma takes on recurring master data clarification with an AI employee. Missing, incorrect or contradictory master data is checked against agreed rules and corrections are prepared for approval.
Read subject guide →Track compliance evidence
Digamma handles recurring evidence work with an AI employee: assemble certificates, product evidence, audit files and supplier documents, and prepare cases for the responsible decision-makers.
Read subject guide →Which work keeps coming back to your team?
We discuss volume, current processing, systems and the result you need. This establishes whether Digamma can take on the work and what the agreed scope would cover.
Discuss a process