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B2B services · B2B operations with high record volumes

AI System for Checking Technical Document Requests against Access and Revision Rules

Documents subject to confidentiality restrictions or authorised-service requirements are shown separately from the candidate list. The system finds files matching the serial number and revision; a technical documentation lead approves which document may be shared.

Representative b2b document service panel with a work queue, checks and an audit trail: technical document request queue
Technical document request queue Representative interface — contains no real data. Customer fields are masked. The panel does not share documents or grant access.

The problem

When customer permissions, serial numbers, documents and revisions are held in different sources, their fields must be matched manually before a shareable document candidate can be prepared.

The technical documentation lead must compare every suggestion in the shareable document candidate with the source record; missing or conflicting evidence must not replace the final decision.

If confidentiality or authorised-service restrictions are not referred for separate review, the wrong revision or confidential information may be shared; the record must not proceed without a human decision.

What we set out to improve

  • Time taken for the shareable document candidate draft to reach the technical documentation lead for review with its supporting evidence
  • Outcomes of records referred for human review because confidentiality or authorised-service restrictions apply
  • Number of suggestions corrected after identifying the risk of sharing the wrong revision or confidential information

How the system works

  1. 01 Retrieve customer permissions, serial numbers, documents and revisions from authorised sources using the record identifier
  2. 02 Link source, date and version details to the shared work record
  3. 03 Validate fields and units
  4. 04 Prepare the shareable document candidate with its supporting evidence
  5. 05 Check for the exception: confidentiality or authorised-service restrictions apply
  6. 06 The technical documentation lead accepts, amends or rejects the draft
  7. 07 Write the approved decision and its source to the audit log

Methods we used

  • A source-referenced shared data schema for customer permissions, serial numbers, documents and revisions
  • A decision structure that separates deterministic rules from AI suggestions
  • A review screen showing the shareable document candidate alongside the underlying evidence
  • A mandatory human review queue when confidentiality or authorised-service restrictions apply
  • An event identifier that prevents duplicate processing

Where people stay involved

The technical documentation lead compares the shareable document candidate with the supporting record. The workflow pauses when confidentiality or authorised-service restrictions apply. The responsible person can amend or reject the suggestion, or request further information.

Data and security

Only the fields required for this decision should be processed from customer permissions, serial numbers, documents and revisions. Access to source systems should be authorised separately from the technical documentation lead role; personal, commercial and technical secrets should not be passed into the model context unnecessarily. Reads, suggestions and human decisions should be logged separately.

Who this suits

A good fit

  • Teams that regularly prepare shareable document candidates
  • Organisations that manually combine information about customer permissions, serial numbers, documents and revisions
  • Companies that want exception decisions to remain with people

Not a good fit

  • When source data is not current and consistent
  • When responsibility for the technical documentation lead role has not been defined
  • When AI suggestions would be acted on without oversight

Frequently asked questions

What data does the system use?

Customer permissions, serial numbers, documents and revisions can be received through an API or controlled file transfer. Fields whose source and version cannot be established are not treated as confirmed information.

When does the process stop?

The record is referred to the technical documentation lead when confidentiality or authorised-service restrictions apply. Nothing is written to the target system when the supporting evidence is incomplete.

Does AI carry out the decision?

No. The shareable document candidate remains a draft until the technical documentation lead approves it. Acceptance, amendment and rejection are recorded in the audit log as human decisions.

Project led by:DijitalPi

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