Subject guide · Operational work
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.
Where manual work accumulates
Master data errors such as duplicate items and materials, missing bank data, incorrect tax data and contradictory customer or supplier records create follow-up work and downstream errors. Supplier setup and data changes require manual approvals. In order intake, an unresolved delivery address alone can hold up a case.
From intake to handover
- 01
Capture record and reason for review
- 02
Compare required fields and references
- 03
Prepare correction and open questions
- 04
Keep approval and system handover traceable
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 new or changed customer, supplier, item, material and product data from agreed sources.
- Identify missing required fields, possible duplicates and contradictions using defined rules.
- Bring together reference data and existing evidence for a correction.
- Prepare missing information and follow-up questions for the responsible team.
- Submit master data corrections for ERP, CRM or MDM approval and document the agreed processing status.
When a work assessment makes sense
- Recurring master data corrections in sales, procurement, finance or logistics.
- Multiple systems or locations with contradictory records.
- Defined data owners, reference sources and approval rules.
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
ERP, CRM, MDM, approved databases and document repositories. The source of truth and any write-back procedure are defined for the work scope.
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 →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 →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.
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