AI Finance Automation UAE

Control Shift develops AI Finance Automation UAE solutions for finance and accounting teams. Scope an AI accounting workspace for accounts payable, expense review, bank reconciliation and financial reporting. Keep source transactions beside proposed matches and explanations.

Build, integrate and automate

AI Finance Automation UAE

Control Shift scopes AI software for finance and accounting teams. Bank exports, receipts and invoice records arrive on different schedules. Finance teams spend closing time tracing missing references and explaining differences between ledgers.

Discuss this AI workflow

Build the right AI workspace

Scope an AI accounting workspace for accounts payable, expense review, bank reconciliation and financial reporting. Keep source transactions beside proposed matches and explanations.

Integrate with your existing systems

Connect authorised accounting exports, bank statements and document queues. Read-only reconciliation can precede any posting integration; entity, currency and accounting-period boundaries must remain explicit.

An automation your team can supervise

Trigger: A new statement or expense batch becomes available for reconciliation.
Agent task: Propose matches, highlight unmatched amounts and draft an explanation with source references.
System update: A reconciliation work queue with proposed matches and unresolved differences.
Human approval: An accountant approves matches and any journal entry; no autonomous payment or filing.

Bank reconciliation and expense review

Trigger: A statement or expense batch becomes available.
Agent task: Suggest transaction matches and flag missing receipts, duplicates and unexplained differences.
System update: A reconciliation worksheet linked to ledger entries and source documents.
Human approval: Finance approves matches and expense treatment before ledger changes.

VAT reconciliation and corporate tax preparation

Trigger: The finance team opens a reporting period.
Agent task: Compare approved invoice and ledger data, organise supporting documents and identify unexplained differences.
System update: An exception schedule and draft financial reporting pack.
Human approval: The accountant and tax advisor determine treatment and approve any filing; AI does not provide a tax determination.

Example workflow, from request to reviewed record

Illustrative project scope; not a claim of an existing customer deployment.

A new statement or expense batch becomes available for reconciliation.
Propose matches, highlight unmatched amounts and draft an explanation with source references.
An accountant approves matches and any journal entry; no autonomous payment or filing.
Save the approved result: A reconciliation work queue with proposed matches and unresolved differences. Keep its source, reviewer and action history available for follow-up.

Architecture and access boundaries

A language model prepares drafts from permitted context. Where document knowledge is needed, retrieval brings in approved sources with references. Restricted API tools handle only explicitly allowed actions. Validation, permissions and approval rules operate outside the model. If data is missing or a tool fails, preserve the draft and route it to a person.

Controls specific to this workflow

AI VAT reconciliation and corporate-tax preparation mean organising evidence for qualified reviewers. Tax treatment, returns and financial decisions remain with your advisors.

Agree data minimisation, access, retention and audit logging during discovery. Hosting and provider terms are confirmed for the project before sensitive data is processed.

A focused, affordable first release

Map one workflow with the people who operate it. Review sample inputs, prototype the draft and approval steps, connect the required interfaces, and agree acceptance examples. Launch to a limited user group with a manual fallback. Monitor corrections, unresolved requests and operating costs before expanding.

The proposal depends on interface access, data cleanup, language coverage and approval complexity. Share your current systems and an anonymised example of the task to define an affordable first phase.

Questions about this AI scope

Can we automate reporting without allowing AI to post transactions?

Yes. Start with read-only imports and a reviewed reporting draft. Posting requires separate permissions and acceptance criteria; it is not necessary for a useful reconciliation pilot.

Can this connect to our current systems?

Which actions stay under human control?

An accountant approves matches and any journal entry; no autonomous payment or filing. AI VAT reconciliation and corporate-tax preparation mean organising evidence for qualified reviewers. Tax treatment, returns and financial decisions remain with your advisors.

Can the workflow support Arabic and English?

Both languages can be included in the project scope. Evaluate representative messages and documents with bilingual reviewers, agree terminology and provide clarification or handover when meaning is uncertain.

What affects scope and delivery time?

Data quality, available interfaces, permission rules, document or message variety and approval complexity determine the work. Start with one workflow, agree acceptance examples and expand after a reviewed pilot. A tailored proposal covers implementation and ongoing operating requirements.

How do you handle sensitive information?

Agree permitted data sources, role-based access, retention and provider terms before development. Use restricted service accounts and audit records. Hosting and residency options require project-specific confirmation; no certification or blanket compliance promise is implied.

Start with your most time-consuming workflow

Share your current systems, sample inputs and the decisions that need human approval.

Discuss your AI project