Accounting & General Ledger

AI-native accounting that automates journal entries, reconciliation, and multi-entity consolidation — closing your books in hours, not weeks.

How it works

Theorem's accounting engine continuously categorizes transactions, posts journal entries, and reconciles across all your bank feeds and subledgers — in real time, not at month-end.

Multi-entity consolidation runs automatically with intercompany eliminations, currency translation, and minority interest calculations. Your consolidated view is always current, always accurate.

3 agents active
Live
Journal EntryGL Posting
99%
Bank ReconciliationMatching
98%
ConsolidationMulti-Entity
97%
Revenue RecognitionASC 606
99%
IntercompanyEliminations
100%
Close ManagerWorkflow
96%

Performance


Close time
<1d
Accuracy
99.8%
Entities
Automation
94%

Three pillars

Modern accounting, zero compromise.

Purpose-built for finance teams that refuse to choose between speed and accuracy.

1

Automated Journal Entries

Machine learning models categorize and post transactions in real time, eliminating manual data entry. Rules engine handles edge cases while continuously learning from corrections to improve accuracy over time.

2

Multi-Entity Consolidation

Consolidate across unlimited subsidiaries with automated intercompany eliminations, currency translation, and minority interest calculations. Real-time roll-ups give you a consolidated view at any moment.

3

Real-Time Reconciliation

Bank feeds, subledgers, and third-party systems reconcile continuously — not at month-end. Discrepancies surface immediately with suggested resolutions, reducing reconciliation time by over 90%.

Agents in action

Your always-on accounting team.

Agents that handle the full close cycle — from transaction categorization to consolidated financials — with complete auditability.

Live orchestration

Agents coordinate the close

A single close event triggers journal posting, reconciliation, and consolidation agents that work in parallel and resolve autonomously.

[09:01:12] CLOSE Month-end close initiated — 12 entities, 3 currencies
Journal Entry AgentGL Posting
0.8s
Reconciliation AgentBank Rec
1.4s
Consolidation AgentMulti-Entity
2.1s
3 agents
3 actions
2.1s total
Close completed
Continuous learning

Accuracy compounds over time

Every correction, reclassification, and review feeds back into the model. Your accounting gets more accurate with every close cycle.

1
Capture

Encode your chart of accounts, posting rules, and reconciliation logic into structured training data.

2
Specialize

Fine-tune models on your transaction history, vendor patterns, and entity structures for maximum accuracy.

3
Deploy

Agents execute real accounting tasks with full audit trails and human-in-the-loop review controls.

4
Compound

Every close cycle improves categorization accuracy, exception handling, and reconciliation speed.

Close your books faster.

See how Theorem eliminates manual accounting work and delivers a same-day close.