All insights

Time to value · 3 min read

Accelerate the migration. Keep the release accountable.

Use AI to prepare legacy mappings and calculations, with source evidence and engineering approval before release.

LEGACY SOURCE · AI DRAFT · APPROVAL

Legacy knowledge spans many sources

Morning-report workbooks contain naming conventions, hidden formulas and undocumented assumptions. Drawings, tag catalogs and operator knowledge add context that a database export cannot provide alone.

AI-assisted discovery can propose relationships and flag inconsistencies. Keep proposals as drafts linked to supporting sources. Ambiguity belongs in a review queue, not the live calculation chain.

Confidence prioritizes review

A confidence score does not replace a domain check. Reviewers need the proposal alongside original evidence, a way to correct it and a record of the decision.

Our sample approval workflow deliberately includes a conflict: an inferred bulk-separator class disagrees with a test-separator workbook context. Its release gate remains blocked until a human confirms the correction.

Prove a bounded scope

Choose one facility and a representative historical period. Agree baseline outputs, tolerances, known exceptions and acceptance owners. Reconcile before considering cutover.

HCF360’s 3–7 day deployment and over 60% lower upfront services figures are targets for suitable scopes. Source accessibility, integration effort, data quality and reviewer availability determine actual timing and economics. A pilot establishes what is achievable for your operation.

The value to establish

Less repetitive preparation and a clearer path to a reconciled, accepted configuration.

Editorial guide · Hydrocarbon Flow 360. Numerical examples are synthetic. Methods, agreements and operating constraints must be reviewed for the actual facility.