This page explains how source accounts become tagged iXBRL output: facts are identified, mapped to taxonomy concepts, reviewed, validated and returned for client approval.
AI-powered iXBRL tagging reads accounts, identifies reportable facts, suggests taxonomy mappings and applies tags across statements and notes. Expert reviewers then check judgemental mappings, validate the output and prepare a filing-ready iXBRL file for HMRC CT600 or Companies House workflows.
Source accounts and supporting schedules are loaded into the tagging workflow.
AI maps financial data and disclosures to the appropriate FRC/HMRC taxonomy concepts.
Tags are applied across required statements, notes and narrative disclosures.
Reviewers check AI output for accounting meaning, completeness, signs, periods and context.
A tagged iXBRL file is generated and prepared for validation and approval.
The tagged output is sent for review before filing or filing-ready handover.
| Standard | Taxonomy | Who it applies to |
|---|---|---|
| FRS 102 | UK GAAP taxonomy | Small and large UK GAAP companies |
| FRS 105 | Micro-entity taxonomy | Micro-entities using FRS 105 |
| IFRS | IFRS taxonomy | Listed, AIM or IFRS reporters where relevant |
| LLP | LLP taxonomy or LLP-specific tagging approach | Limited Liability Partnerships |
No. You provide the accounts and filing context. We handle taxonomy mapping, tagging, review and validation.
AI speeds up recurring and standard mappings, but expert review remains important for accounting judgement, unusual disclosures and final filing confidence.
The taxonomy depends on the accounts standard and filing context. We select the appropriate FRC/HMRC taxonomy path before tagging starts.
Straightforward filings are often completed within hours, subject to document quality, complexity, selected turnaround and approval speed.
No. The workflow works from the source accounts and applies structured tags without manually re-keying the accounts data.
Yes, where appropriate. Prior-year mappings can speed up recurring filings, but they still need current-year review.
Expert reviewers can override the suggestion, update the mapping and rerun validation checks.
No. The model is AI-powered preparation with expert QA backup, not unsupervised filing.
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