Client documents
Classify, search, summarise and organise authorised information.
Kreluna Office is designed to prepare and organise document-heavy work while keeping review, advice and consequential decisions with qualified professionals.
Kreluna is in active development. Early access, feature availability and integration coverage are confirmed individually for each request.
Classify, search, summarise and organise authorised information.
Prepare reminders, drafts and tasks for professional review.
Coordinate handoffs, roles, permissions and approval steps.
A firm can start with document intake, missing-information checks, assignment, draft communication and professional approval. The workflow is adapted only after the actual process is understood.
Kreluna does not provide tax advice or replace qualified accountants. It helps prepare and coordinate work while interpretation, review and client advice remain with the firm.
No. It may support preparation and organisation while interpretation and client advice remain with qualified accountants.
That is a potential use case to configure and validate against the firm’s sources, rules and responsibilities.
Access and scope must be limited to what is necessary, with details agreed before any real data is used.
Every project starts with a defined objective, authorised information and a clear review process. Capabilities are enabled progressively and important actions remain subject to approval.
These examples concern preparation and coordination. Kreluna is not presented as a tax authority, tax-advice engine or replacement for the firm’s system of record.
Organise received files by client and period and prepare a missing-items list before professional work begins.
Locate passages in authorised client documents and show the source without turning a summary into an unchecked accounting entry.
Draft recurring requests or reminders from approved firm templates while keeping review and sending with the professional.
Coordinate tasks, owners and matter status without calculating tax or making professional judgements.
A pilot can focus on document completeness or file preparation. Synthetic or minimised data helps test the workflow before real archives are involved.
Describe the problem, who performs the work today and which observable result should improve.
Identify sources, permissions, manual hand-offs, unusual cases and points where a person must decide.
Run the pilot on authorised sample data against acceptance criteria agreed before the test.
Compare the workflow with its baseline, then extend, revise or stop it on evidence rather than enthusiasm.
Outputs must be checked against authorised documents and sources. Tax accuracy, legal currency and client communication are not delegated to a model.
Assess the pilot on work avoided and the quality of the file reaching the reviewer, not on the amount of text generated.
Ability to flag absence and inconsistency against an agreed checklist.
Work spent organising, renaming, retrieving and summarising.
Changes needed to classification or drafts before proceeding.
Follow-ups caused by incomplete or uncoordinated communication.
It is not proposed as an autonomous tax source. Any source must be authorised, current and reviewed by the competent professional.
That must never be assumed. Provider, purpose, retention and data use have to be documented for the actual configuration before real data is loaded.
This page claims none. Systems are named only after interfaces, authorisation and behaviour have been verified.
The AI Act and GDPR can apply together: duties and safeguards depend on the organisation’s role, the data and the system’s actual use. Assessment therefore comes before configuration.
These sources help frame the work; they do not replace legal, privacy or security advice for a specific situation.