Introducing Supervity Autos. Hire AI Employees that run the operation.
Auto R2R · Record-to-Report

Reconcile, adjust,
consolidate, and report.
The close runs itself.

Auto R2R runs the financial close end to end. AI Employees post and validate journals, reconcile accounts, match intercompany, analyze variances, and assemble the reporting package. The controllership stops preparing and starts reviewing.

40% Faster month-end close observed in a diversified-group deployment
100% Reconciliation accuracy on automated matches
90 Days To a committed AI-first baseline under ROI Assurance
Replaces the work of:
BlackLine Trintech Cadency FloQast Workiva OneStream (close) Adra

Close software tracks the checklist. Auto R2R does the close.

Legacy close tools give you a task list, reconciliation templates, and a status dashboard, then wait for accountants to prepare every entry, reconciliation, and explanation. Auto R2R prepares the close and escalates only what needs judgment.

Close moment
Your close software today
Auto R2R
Reconciliation
Reconciliation templates still need an accountant to pull, match, and certify each account.
AI Employees pull balances, match items, and reconcile accounts, certifying the clean ones automatically.
Journal entries
Journal entries are prepared manually and routed for approval by email.
Recurring and accrual journals are prepared, validated against policy, and routed deterministically.
Intercompany
Intercompany mismatches surface late and are chased across entities.
Intercompany is matched continuously across entities, so mismatches surface early, not at close.
Variance commentary
Flux and variance commentary is written from scratch each period.
Flux and variance analysis is drafted with explanations grounded in the underlying transactions.
Close orchestration
The close calendar slips whenever a preparer is out or a system is slow.
The close orchestrates itself against the calendar, reallocating work when a step is blocked.

The close moves as one operating sequence, not a collection of task lists.

Auto R2R prepares, reconciles, investigates, explains and reports against the close calendar, while the controllership reviews only the judgment points.

01

Record & Adjust

Prepare recurring, accrual and adjusting entries with support and policy validation.

02

Reconcile & Match

Match accounts, bank, subledger and intercompany activity and certify the clean items.

03

Investigate Risk

Score aged and material reconciling items and route genuine exceptions with evidence.

04

Analyze & Explain

Compute movements, detect anomalies and draft explanations grounded in transactions.

05

Consolidate & Report

Assemble group results, eliminations, translation, disclosures and audit-ready evidence.

Every part of the financial close, run by AI Employees.

Auto R2R decomposes record-to-report into the components a controllership actually runs, each executed by governed AI Employees against a living financial graph.

Record & Adjust

Journals prepared, validated, and posted under policy.

Close preparation becomes governed execution, not recurring manual assembly.

Journal Employee

Journal entry automation

Prepares recurring, accrual, and adjusting entries with supporting documentation, validated against policy before posting.

Accruals

Accrual computation

Computes accruals for goods received not invoiced, prepayments, and provisions from source transactions.

Allocation

Allocation processing

Runs cost and revenue allocations on defined rules, with the calculation trail attached to each entry.

Validation

Entry validation

Checks entries for coding, balancing, and policy compliance, routing only genuine exceptions for approval.

Choose a close lane and see what Auto R2R owns end to end.

Each is a close operation the Auto owns end to end, with humans on the loop for oversight and in the loop only where judgment is required.

Reconcile

Automated account reconciliation

Accounts are pulled, matched, and reconciled, with clean accounts auto-certified and only risks escalated.

Reconcile

Continuous intercompany matching

Intercompany is matched across entities every day, so mismatches surface early rather than at close.

Reconcile

Recurring and accrual journals

Recurring, accrual, and adjusting entries are prepared, validated, and posted under policy.

Analyze

Flux and variance analysis

Period movements are computed and explained from the underlying transactions, ready for review.

Analyze

Anomaly and error detection

Unusual balances and postings are surfaced before they reach the statements.

Report

Close orchestration

The close sequences itself against the calendar and reallocates work when a task is blocked.

Report

Consolidation and reporting

Group results, eliminations, and translation are assembled and reconciled to entity detail.

Report

Audit-ready evidence

A complete, queryable trail of every entry, reconciliation, and approval is produced for auditors.

AI does the work. Humans govern.

Every cycle runs through the four parts of an Auto. Open each layer to see how judgment, policy and learning stay governed.

01AI EmployeesThe workers+

Multi-agentic close workers post journals, reconcile accounts, match intercompany, and analyze variances across the ERP and consolidation systems, escalating only judgment calls.

02Auto PoliciesThe guardrails+

Materiality thresholds, certification rules, and approval limits are authored in plain language and enforced deterministically before an entry posts or an account certifies.

03Auto WorkbenchHuman in command+

High-risk reconciliations and variances arrive with evidence and the applied policy. The reviewer decides once; the resolution trains the next close.

04Auto GraphThe core moat+

Accounts, entries, reconciliations, intercompany links, and prior explanations become a living per-tenant graph that makes each close faster and cleaner.

Command layer

Governed through the Auto Manager Console.

Every action logged, time-stamped, and auditable.

A controllership that reviews, instead of prepares.

Diversified industrial group

40% faster month-end close, 100% reconciliation accuracy.

In a diversified multi-entity group running finance operations through Supervity AI Employees, the month-end close accelerated by 40% with fully accurate automated reconciliations. The controllership shifted from preparing the close to reviewing exceptions and governing policy.

Enterprise assurance

SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.

FACT NEEDED

Confirm which named account and metrics may be cited externally for R2R; the 40% close / 100% reconciliation figures derive from a diversified-group deployment and require account-team sign-off before public use.

An outcome commitment, not a licence.

Auto R2R is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.

3 months30%

AI-first operations

6 months60%

AI-first operations

12 months80%+

AI-first operations

Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.

Make the close an AI-first operation.

See Auto R2R run record-to-report against your own ledger and close calendar in an FDE baseline scoping session.

Autonomous · Always Learning · Auditable

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