For controllers

Improve throughput with controls built in.

Every AI tool that touches the close, payables, or revenue starts an audit conversation. RoboCFO helps controllers find the work that is safe to automate, redesign the workflow, and write approval, documentation, and evidence requirements into the implementation scope.

Discuss a project

Common challenges

What we hear from controllers

SOX questions

How AI fits into the close, AP, revenue recognition, or any process that feeds financial reporting.

Audit trail gaps

Vendors whose products fit the work but can’t produce the documentation your auditors will ask for.

Tools arriving faster than review

AI features show up in the ERP, the AP platform, and the expense tool faster than your vendor review cycle can assess them.

A faster close without new findings

Pressure to shorten the close without creating control deficiencies, audit findings, or examiner questions.

Priorities

What the work needs to address

01

Protect the control environment

Define approval, review, documentation, and audit trail requirements before a new workflow goes live.

02

Reduce manual work

Focus on repeatable tasks in close, payables, reporting, and related processes where automation can relieve the team.

03

Keep ownership clear

Establish who monitors the workflow, handles exceptions, and approves changes after implementation.

Common first projects

  • AP invoice matching and exception routing
  • Expense categorization
  • Journal entry review and anomaly flags
  • Contract review for revenue recognition
  • Account reconciliation preparation
  • Flux analysis and close commentary

Who leads the work

Built for SOX-regulated environments

Model documentation, controls testing evidence, and vendor risk assessments are standard deliverables on controllership work. When your external auditors’ input affects scope, we coordinate with them directly.

About Glenn Hopper
  • Former CFO of multiple companies, including PE-backed businesses in consumer and legal tech, retail, and technology
  • Author of Deep Finance, AI Mastery for Finance Professionals, and The AI-Ready CFO (Wiley, 2026)
  • Teaches AI and finance through Duke Fuqua, the Corporate Finance Institute, the AICPA, and LinkedIn Learning
  • Advisory boards at Preql, GENCFO USA, the AI Leaders Council, and the Crews School of Accountancy at the University of Memphis
  • Former host of the FP&A Today podcast; commentary in Forbes, Fortune, and The New York Times

Talk to us about AI inside your control environment.

Book a 30-minute scoping call about your control environment, the AI tools already in use, and the next step.

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