1 · Source documentation
Drawings, registers, inspection records, hazardous-material data, well information and other asset evidence.
Asset intelligence / decomm.ai
Asset evidence for the next decision
A separate platform offering for decisions constrained by inherited documentation. Connected to the engineering question, with the source evidence kept visible.
decomm.ai supports the engineering basis for an asset retirement obligation (ARO). It does not calculate the accounting provision.
decomm.ai · documentation domainsIllustrative example
Documentation signal
Piping and instrumentation diagrams (P&IDs)
Checks revision alignment, tie-ins, process boundaries and whether the process basis reflects the current asset.
Illustrative evidence position62 / 100 · Moderate
Illustrative data only. The same example and score bands are used in the Asset explorer. No client asset is represented.
Platform position
Review the records behind the engineering basis.
The platform structures source documentation, scores integrity by domain, identifies variance drivers and provides a controlled view of regulatory, environmental and operational influences.
It informs the engineering and ARO provision basis. It does not produce the accounting number or replace engineering judgement.
Public demonstration boundaryAll interface examples use synthetic data. Competitive rate
structures, domain weightings and proprietary model logic are
not exposed.
Intelligence engine
Documentation review across six modules.
The modules move from documentation integrity through sensitivity, regulatory and environmental influence, operational readiness and closure.
Selected module
Example questions and answers
Which gaps are driving uncertainty?
Structural data, hazardous materials and isolation records are the highest-priority review areas in this sanitised demonstration. The next action is source validation, not an automatic estimate adjustment.
Public tools
Explore the decision logic in lightweight form.
Three browser-based tools show how evidence quality, domain mapping and defensibility checks shape the first conversation. All outputs are illustrative.
01
Liability self-check
Eight structured questions, an indicative evidence score and priority review areas. Nothing is transmitted or stored.
Start the eight-question check →02Asset explorer
Map the nine documentation domains across an illustrative offshore platform or onshore plant.
Open the interactive explorer →03ARO defensibility checklist
Twelve evidence checks for board, audit, partner and regulatory challenge.
Open the checklist →Four-layer architecture
How the source records support the review.
The public architecture shows the workflow without exposing the proprietary rate structure, weighting logic or internal model configuration.
2 · Structuring and normalisation
Records aligned to asset, discipline, revision, domain and traceability requirements.
3 · Modules A to F
Integrity, sensitivity, regulatory, environmental, readiness and closure intelligence.
4 · Decision surfaces
Evidence dashboards, regulatory closure records and scenario comparisons support the next engineering review.
Scope and boundaries
Before a walkthrough.
Does decomm.ai calculate the accounting provision?
No. It supports the engineering and asset retirement obligation evidence basis. Recognition, measurement and the accounting provision remain separate accounting judgements.
Can the platform be considered separately from consultancy?
Yes. decomm.ai is a separate platform offering. Its scope and the Endura consultancy scope are defined explicitly.
Do these examples show a client asset?
No. The public example uses illustrative geometry and synthetic evidence scores. It is not a measurement of an actual asset.
Start with a conversation
Discuss your projectDiscuss your decommissioning scope.
Tell us about the asset, the work required and the timing. Endura can help define an appropriate scope of support.