AI Financial Reporting

Financial reports
finished in minutes,
not work-weeks

Domain's AI engine reads raw financial data, applies your reporting rules, and delivers board-ready documents — across every client account, every quarter, at consistent quality.

AI-generated financial dashboard showing automated report output

How it works

From raw numbers to signed-off reports

Four structured stages, each one automated, each one auditable. The model processes roughly 4,200 data points per report cycle without manual intervention.

02

AI variance analysis

Period-on-period and budget-to-actual comparisons surface automatically. The model flags items that exceed your defined materiality threshold — typically set between 3% and 8% depending on entity size.

03

Narrative generation

Plain-English commentary is drafted for each financial statement section. The language matches your firm's house style after a one-time calibration that takes about 40 minutes to configure.

04

Review and export

A human reviewer sees a tracked-changes view before anything is finalised. Output formats include XLSX, PDF, and structured JSON for downstream systems.

Analyst reviewing AI-generated financial report on screen

Practical output

What changes when reporting takes 14 minutes

A mid-size accounting firm producing quarterly packages for 32 clients used to allocate 6 full-time days per reporting cycle. With automated generation, the same volume completes in under a single working day — and the review time per document dropped from 55 minutes to 9.

The shift is not cosmetic. When report production is no longer the bottleneck, staff attention moves to interpreting findings and advising clients rather than formatting spreadsheets at 11 pm before a deadline.

9 min Average reviewer time per completed report
32+ Client accounts processed in a single batch
4.8 Average client satisfaction score out of 5
Common questions

Things clients ask before starting

Straightforward answers to the questions that come up in almost every first conversation with a new client.

The output meets formatting requirements for most Canadian audit engagements, but auditor submission should always pass through a qualified professional's review first. The system is designed to get you to 95% of the way there — the remaining review and sign-off is intentionally human. No automated system should remove professional accountability from the chain.
Custom account structures are mapped during the onboarding session, which typically takes 2 to 3 hours for a complex entity. Once mapped, the configuration is saved and reused every cycle. Clients with subsidiaries across multiple jurisdictions can maintain separate mapping profiles under a single account.
The reviewer can dismiss the flag with a one-click annotation, and the system learns from that decision for future cycles. After 4 to 6 reporting periods, false positive rates drop considerably because the model has calibrated to your client's actual patterns. You keep full visibility of every dismissed flag in the audit trail.
All data is stored on Canadian servers under SOC 2 Type II certified infrastructure. Access is role-based and logged. Financial data for one client account is never accessible to another, and raw source data is not retained after the report generation run completes — only the structured output and audit trail are kept.
Yes — concurrent editing is supported for up to 8 simultaneous reviewers on a single report. Each reviewer's changes are attributed by name and timestamp. Conflicts are resolved through a simple accept-or-reject interface, similar to track changes in familiar document tools.
Available across Canada

Ready to see a real report run?

Send us a sanitised data sample and we will run it through the full pipeline — ingestion, analysis, narrative, and export — so you can judge the output quality before any commitment. Turnaround is typically under 48 hours.

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