GARY Use Case: An agentic workforce for financial governance and integrity, internal controls and evidence discipline, completion of Corrective Action Plans, and audit-ready sustainability leading to an Unmodified (Clean) Audit Opinion across the DoW CFO enterprise.

Bottom Line Up Front: Audit Notices of Findings and Recommendations do not close themselves. Gary.ai gives the CFO enterprise a controlled digital workforce that assembles support, creates and tracks Corrective Action Plans, routes exceptions, and preserves the chain of Evidence and Audit Trail while humans retain full decision authority. Proactively, Gary.ai will identify issues involving Internal Controls and Material Weaknesses and perform Risk Assessments to prioritize financial remediation.

Gary.ai proactively identifies issues, organizes findings, assesses risk, recommends action plans, and documents the resulting recommendations and remediation steps. Human-in-the-loop: Financial leaders, risk managers, and Internal Control owners approve, adjudicate, and own every decision.

EXAMPLES OF WHY FIAR NEEDS A DIFFERENT OPERATING MODEL

• Fragmented and legacy financial systems: multiple non-integrated systems impede end to end accounting and reporting.

• Findings span systems, organizations, and process owners: remediation breaks when ownership is fragmented.

• Provided-By-Client (PBC) support, walkthrough notes, sample evidence, and approvals are often scattered across in-boxes, drives, and point solutions resulting in insufficient audit trails and documentation

• Internal Control failures persist because status is reported manually, late, and without a durable chain of accountability.

• Lack of timely, enterprise wide reconciliations and periodic close processes: month/year end processes not producing reliable results.

• Staff rotations and workforce compression erode institutional memory exactly when repeatable audit execution is required.

WHAT GARY.ai DOES IN THE FIAR LANE

• Assembles audit packages: gathers source support, prior decisions, approvals, and business-rule context into a cleaner evidence chain.

• Tracks remediation to closure: monitors findings, milestones, owners, dependencies, and overdue corrective actions across teams.

• Identifies weaknesses with Internal Controls and provides corrective actions.

• Improves sample readiness: identifies missing support, weak narratives, broken links, and stale documentation before the auditor does.

• Routes exceptions with context: sends the right issue to the right control owner with status, rationale, and escalation logic preserved.

• Maintains continuity: captures operating logic so remediation progress survives turnover, surge workload, and organizational churn.

INITIAL EMPLOYMENT

• Choose one remediation lane: Fund Balance with Treasury, procure-to-pay, real property, inventory, or another persistent finding set.

• Connect current systems, spreadsheets, narratives, owners, and approval paths - no rip-and-replace.

• Deploy Gary.ai agents to monitor evidence gaps, organize support, drive follow-up, and document closure actions.

EXPECTED FIAR EFFECT

• Cleaner PBC response

• Faster finding closure

• Stronger evidence hygiene

• Less analyst drag

• More repeatable control execution

Talk to CORAS to discuss how can support your department and leverage GARY.ai for Decision Dominance in the War Room.

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