1 · Source documentation
Drawings, registers, inspection records, hazardous-material data, well information and other asset evidence.
decomm.ai
Make uncertainty in inherited data visible.
decomm.ai is a separate asset-intelligence platform offering for late-life and decommissioning decisions constrained by inherited data.
Platform position
From source records to decision intelligence.
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 are sanitised. Competitive rate
structures, domain weightings and proprietary model logic are
not exposed.
decomm.ai · documentation domainsdemo asset · sanitised
Documentation signal
Illustrative evidence positionpartial
Intelligence engine
Six modules, one controlled evidence path.
The modules move from documentation integrity through sensitivity, regulatory and environmental influence, operational readiness and closure.
Selected module
Ask the dataset.
Choose a question
Select a question to view a sanitised example response.
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
Rapid Liability Self-Check
Eight structured questions, an indicative evidence score and priority review areas. Nothing is transmitted or stored.
Run the 2-minute 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
A controlled route from source documents to decision surfaces.
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
Command Centre, regulatory closure and scenario views used to support action.
Start with one asset and the documentation that exists.
A walkthrough can show how the platform separates evidence, assumptions and priority gaps.