An engineering drawing enters an AI application. Its information may pass through extraction, indexing, retrieval and model processing before an answer reaches the user. Each step introduces a question about where that information goes and who can access it.

For oil and gas organizations in the Middle East, these questions belong in the pilot scope. A small trial can still involve restricted engineering material, personal information in user records and project-specific contractual requirements.

Follow one request through the system.

Start with a real type of input: a drawing, a study row or a question about an asset. Map ingestion, extraction, indexing, retrieval, model processing, response storage and operational logging. Identify the service and account responsible at every step.

An endpoint location does not always identify the place where inference is processed. Amazon Bedrock, for example, documents cross-Region inference profiles that can route requests to destination Regions. Review the selected deployment configuration and its permitted destinations.

The useful deliverable is a data-flow diagram with named services and locations, plus a list of unresolved questions. A general statement that the application is hosted in-region is too incomplete for that review.

Follow the information across boundaries
  1. 01Application

    Sources, user identity and connected engineering systems.

  2. 02Processing

    The requested service and the locations that process its inputs.

  3. 03Retention

    Stored records, logs, backups and support access.

Figure 1. A deployment review follows processing and retention as well as the application endpoint. The actual systems, destinations and access must be established for the chosen deployment.

Reference: AWS — Amazon Bedrock cross-Region inference

Separate data categories and approval requirements.

A P&ID, an incident report and a user account can require different treatment. Record which categories the pilot actually needs, who owns them and which restrictions apply. Reduce the trial input to the information needed for the agreed task.

Give security, privacy and contract owners the actual data categories and transfer paths. Personal information in names, account records and logs needs its own review; engineering confidentiality and operator requirements also need to be accounted for.

A country or cloud-region label is not a complete specification. The review needs the organization’s approved requirements, the proposed architecture and evidence of how the two match. Keep open decisions visible instead of burying them in a supplier questionnaire.

Ask for evidence at each boundary.

Use the same review structure whether the application is deployed in an organization’s cloud account, a supplier-managed environment or approved private infrastructure. The answers may differ; the questions still need an owner.

Scroll horizontally to read all columns.

Industrial AI deployment review
BoundaryQuestion to resolveEvidence to request
Model processingWhich services and destination locations can process the request?The selected model deployment and routing configuration.
Stored informationWhich originals, extracted text and indexes are retained, and for how long?A storage inventory and retention settings.
Logs and supportCan prompts, responses or documents appear in logs or support access?Logging configuration and support-access procedures.
Backup and recoveryWhere are recovery copies kept, and what happens after deletion?Backup locations, restore procedures and deletion behavior.
Identity and integrationsWhose identity is used to retrieve records or change another system?Role mappings, service permissions and integration ownership.

Define the pilot’s end as carefully as its start.

Before the trial, agree who can authorize changes to models, source connections, retention or processing locations. Capture the configuration used for evaluation so an accepted result can be tied to the environment in which it was tested.

Set out what happens when the pilot ends: retain or export accepted work, remove trial material according to the agreed requirements, revoke temporary access and record unresolved items. Include the treatment of logs and recovery copies in that conversation.

This gives the organization a useful decision record for continuation or production planning. It also makes the next supplier discussion more concrete: the team can ask about specific data flows, access boundaries and operating responsibilities.

  • A data-flow diagram with named services and processing locations
  • A data inventory with owners, restrictions and retention decisions
  • Recorded identity, support and integration access
  • An agreed recovery, change-control and pilot-closure process

Sources & further reading

AWS documents the routing example. The review table and questionnaire are Gray Foundry software-procurement recommendations; the applicable organizational, contractual and regulatory requirements must be established for the specific deployment.