
A document handover package is the formal transfer of engineering documentation, technical data, and asset records from an EPC contractor or supplier to the owner/operator at the end of a project phase or upon asset commissioning.
It typically includes P&IDs, equipment datasheets, inspection records, vendor documentation, operating manuals, and as-built drawings — everything required to operate, maintain, and modify the asset over its lifecycle.
Poor-quality handovers are one of the most costly challenges in asset-intensive industries. When documents are missing, misclassified, or delivered in incompatible formats, operators face significant productivity losses during commissioning and early operations.
Common failure modes include incomplete tag coverage, inconsistent metadata, missing vendor documentation, and documents not linked to the correct asset or tag. Effective tag management throughout the project is one of the most reliable ways to prevent these problems.
The completeness and accuracy of a handover package is directly dependent on data quality management throughout the project. Gaps in supplier data, inconsistent tagging, and missing metadata are the primary causes of deficient handover packages.
For projects operating within a Common Data Environment (CDE), handover completeness can be tracked in real time against the full document register — enabling early intervention rather than last-minute remediation.
Handover requirements in capital projects are increasingly governed by standards such as CFIHOS and ISO 15926, which define how asset and engineering information should be structured for transfer between contractor and operator systems.
Sharecat enables structured, continuous document handover throughout the project lifecycle — not just at the end. By connecting supplier documentation directly to the tag register and asset hierarchy, Sharecat ensures that handover packages are complete, correctly structured, and ready for import into the operator's systems.
The platform supports handover to CMMS, EAM, and enterprise systems, with configurable metadata requirements and completeness tracking so that gaps are identified early rather than discovered at mechanical completion.