AI Agent for Financial Reporting: A Controlled Pilot
Choose one reporting workflow for AI with named sources, deterministic checks, finance approval, and a traceable close.
A reporting workflow is a good AI candidate when its sources, checks, owners, and approval point are explicit. Begin with one repeatable handoff and make every figure traceable to its input.
Syntalith Team
An AI agent for financial reporting can collect approved data, run repeatable checks, group exceptions, and prepare grounded commentary. A finance owner reviews the inputs and result before a pack is circulated or a record changes.
Select one reporting handoff
Month-end work often joins ERP exports, bank data, CRM figures, spreadsheets, and owner notes. Choose the point where the team loses time and where a reviewer can compare the output with a known source.
| Reporting step | Useful automation | Finance decision |
|---|---|---|
| Source completeness | Collect approved exports, check periods and control totals, and flag missing files | Whether the source set is complete enough for the close |
| Reconciliation queue | Compare identifiers, dates, currencies, duplicates, and totals; group exceptions | Whether a discrepancy is resolved and which correction is authorised |
| Variance commentary | Draft a summary from approved figures, prior commentary, and owner notes | Whether the explanation is accurate and suitable for circulation |
| Reporting pack | Assemble tables and source links into a working pack | Sign-off, distribution, and any change to a published figure |
A controller should be able to inspect the inputs, review every flagged item, and decide whether the workflow earns more responsibility. The agent pauses when a source is absent, a rule is ambiguous, or a figure requires judgment.
Write a source contract before connecting a model
For every field or table, record:
- system of record and export owner;
- reporting period and timezone;
- identifier used to join other sources;
- currency, unit, and sign convention;
- independently checkable control total;
- fallback when the source is late or incomplete.
Keep the contract in version control or another controlled repository. A change to an account mapping, cost-centre hierarchy, reporting period, or KPI definition should create a review task. A workbook with no source metadata cannot reliably distinguish a new value from a stale copy.
Let code check and the model explain
Reconciliations should use deterministic rules. The workflow can compare row counts, control totals, date windows, duplicate keys, currency codes, and approved mappings. A model can group the resulting exceptions, retrieve the relevant reporting policy, and draft a comment that cites the input rows.
| Component | Suitable responsibility | Evidence to retain |
|---|---|---|
| Connectors and parsers | Read approved exports and preserve identifiers | Source name, version, checksum, or run ID |
| Rules and calculations | Apply mappings, thresholds, joins, and control totals | Rule version and calculation output |
| Language model | Classify an exception and draft a grounded explanation | Source references and review state |
| Approval step | Confirm corrections and publish the pack | Reviewer, decision, timestamp, and final version |
Give the model only the context needed to explain an exception. It must not invent a missing number, silently change a mapping, or turn a plausible sentence into a closed reconciliation. A failed check stays visible in the exception queue.
Add Poland's KSeF and JPK sources
The official KSeF scope information describes phased obligations and exceptions. Use it as an input to the invoice-flow map, then confirm applicability and required approvals with the finance owner before connecting systems.
The Krajowa Administracja Skarbowa page for JPK structures lists JPK_V7M(3) and JPK_V7K(3) as the variants applicable from 1 February 2026. The page is updated as structures change, so version the field map against the official publication used for each implementation.
The workflow can prepare a completeness report, compare source fields with the published structure, and route mismatches to the accounting owner. Signing, filing, and changes to the company's accounting policy remain inside the approved finance process.
Protect finance data and access
Finance data may include employee details, sole-trader information, account references, payment descriptions, payroll values, or travel expenses. The GDPR Article 5 text is an official source for purpose limitation, data minimisation, accuracy, storage limitation, and integrity principles.
Turn those principles into workflow settings:
- use a service account for each connector and grant the smallest required read or write scope;
- separate raw exports from model context and redact fields that do not affect the decision;
- restrict access to prompts, outputs, exceptions, and traces;
- define retention for temporary files and logs before the first production run;
- encrypt exports and keep credentials out of prompts and spreadsheets;
- record access and approval events alongside the report version.
A pilot can use a controlled subset with the same column types, joins, and exception patterns as the production flow. The finance owner should approve both the data set and the environment.
Put review before consequential actions
Each approval item should show the source references, rule that fired, values compared, proposed explanation, and action available to the reviewer. The reviewer can approve, reject, request a source correction, or defer the item to the next close.
The workflow should stop before changing an accounting mapping, posting a journal entry, releasing a payment, signing a file, or distributing a board pack. If a later phase needs one of those actions, define a separate permission, approval, and rollback path. A shared credential makes the trace difficult to trust and an incident difficult to contain.
Run a controlled reporting pilot
- Pick one report or reconciliation with a named controller and a stable close calendar.
- Inventory inputs, owners, formats, identifiers, retention requirements, and manual steps.
- Build source checks and deterministic reconciliation rules before generated commentary.
- Run in review mode against representative historical periods and a current close, with finance confirming every exception.
- Measure source completeness, exception categories, reviewer corrections, time to a reviewed pack, and trace coverage.
- Add automatic assembly after the owner accepts the exception policy and recovery path.
The pilot can end with a decision to expand, keep the workflow narrow, or stop. A controlled stop is useful information when source data or ownership is not ready.
Budget the reporting workflow
Syntalith's published English offer lists AI automations from €3,500 net. The final quote follows the reporting step, source quality, integrations, review points, and operational risk. See the pricing page and AI automations service for the current offer.
The management-reporting test shows commentary and a separate numerical check on generated data. Bring the current close checklist, one representative report, and the owners of its source data to a free process scan. The 30-minute engineer call maps the first workflow and produces a written takeaway within two business days.
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