AI for Controllers

What you do today

Orchestrate the financial close — coordinate journal entries, reconciliations, accruals, and consolidations across teams. Hit the close deadline every time, accurately.

AI that applies

AI-automated close workflows that sequence tasks, auto-prepare standard journal entries, reconcile accounts, and flag exceptions for human review.

How it works

For monthly/quarterly close management, the system draws on the relevant operational data and applies the appropriate analytical models. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Design, implement, and monitor internal controls over financial reporting. Ensure SOX compliance, coordinate with internal and external auditors, and remediate control deficiencies.

AI that applies

Continuous controls monitoring that tests transactions against control parameters in real time, replacing periodic manual testing.

How it works

The system monitors regulatory data sources — rule changes, enforcement actions, and compliance records. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Oversee AP and AR operations — invoice processing, payment runs, collections, and cash application. Ensure accuracy, timeliness, and proper authorization.

AI that applies

AI-powered invoice processing that extracts data from invoices, matches to POs, routes for approval, and posts automatically. Collection prediction that prioritizes AR follow-up.

How it works

For accounts payable & accounts receivable oversight, the system draws on the relevant operational data and applies the appropriate analytical models. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Maintain the chart of accounts, ensure proper transaction coding, and oversee balance sheet reconciliations. Keep the GL clean and auditable.

AI that applies

Automated reconciliation tools that match transactions across sub-ledgers, flag unreconciled items, and suggest corrections based on historical patterns.

How it works

The system ingests historical patterns as its primary data source. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Coordinate with external auditors — prepare PBC (provided by client) lists, respond to audit inquiries, manage the audit timeline, and resolve audit findings.

AI that applies

AI-organized audit preparation that auto-generates PBC documents, tracks open requests, and surfaces supporting documentation from accounting systems.

How it works

The system ingests accounting systems as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output — supporting documentation from accounting systems — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

Own the financial systems — ERP, GL, reporting tools, consolidation software. Ensure data integrity, manage upgrades, and drive automation of accounting workflows.

AI that applies

AI-powered system monitoring that detects data quality issues, integration failures, and processing bottlenecks before they impact financial reporting.

How it works

The system pulls financial data from operational systems — transactions, forecasts, actuals, and variance history. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Prepare GAAP/IFRS-compliant financial statements, footnotes, and regulatory filings. Ensure consistency, accuracy, and compliance with evolving accounting standards.

AI that applies

AI-assisted disclosure drafting that generates footnotes from underlying data, checks consistency across periods, and flags areas requiring updated disclosure.

How it works

The system ingests underlying data as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output — footnotes from underlying data — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

Coordinate tax provision calculations, estimated payments, and compliance filings. Work with tax advisors to optimize the effective tax rate within regulatory boundaries.

AI that applies

AI-powered tax provision tools that calculate ASC 740 provisions, track temporary differences, and model the tax impact of business decisions in real time.

How it works

The system ingests temporary differences as its primary data source. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Manage cost allocation methodologies, standard costing, and profitability analysis by product, customer, or segment. Ensure leadership understands where the money is actually being made.

AI that applies

AI-driven cost allocation that models true profitability by tracing activity-based costs across complex allocation hierarchies.

How it works

For cost accounting & profitability analysis, the system draws on the relevant operational data and applies the appropriate analytical models. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Manage and develop the accounting team — hire, train, set expectations, manage workload during peak periods, and build a team that can handle increasing complexity.

AI that applies

AI-assisted workload balancing that distributes close tasks based on complexity, skill, and capacity, optimizing the team's throughput during peak periods.

How it works

The system tracks learner progress, competency assessments, and engagement patterns across the learning environment. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. People leadership.