What challenges did Sikich face before AI implementation?

Financial services organizations operate in a highly regulated landscape with strict compliance requirements. Traditional risk analysis and fraud detection methods are labor-intensive and often reactive. Manual client reporting is prone to errors, delays, and inconsistencies. Automating productivity while ensuring regulatory adherence was a major challenge. Operational costs needed reduction to remain competitive.

What was the impact of the AI solution?

Reduced operational costs for finance clients. Increased business productivity and employee efficiency. Streamlined compliance processes with fewer errors and faster regulatory reporting. Improved client reporting accuracy and speed. Enhanced fraud detection capabilities.

Source

MicrosoftProductionEvidence: Low40/100

Sikich streamlines financial services operations with AI automation

Use case typeCompliance automationUpdated Jun 13, 2026

Sikich, a professional services firm, has implemented Microsoft Copilot across financial services operations to address challenges in regulatory compliance, risk analysis, fraud detection, client reporting, and productivity automation. Operating within a highly regulated environment, Sikich leverages Copilot integrated with Microsoft 365 apps to automate routine work, enhance reporting accuracy, and support effective risk and fraud management. Copilot enables systematic adherence to policies, accurate client reporting, and improved decision-making capabilities for financial services clients. Automation of repetitive tasks reduced staff workload, improved productivity, and lowered operational costs. Sikich also provides AI readiness assessments and strategic guidance to help clients in finance successfully adopt Copilot. The use case highlights measurable business impact through streamlined processes and competitive advantage for Sikich's customers. Overall, Copilot's deployment resulted in better compliance, enhanced efficiency, and reduced costs for financial services organizations using Sikich's expertise.

Organization: Sikich
Industry: Finance
Location: United States
Published: November 2025

Reported outcomes

Strategic outcomes

Risk & complianceStreamlined compliance processesCustomer experience & trustImproved client reporting accuracyCost efficiencyReduced operational costsCompetitive differentiationEnhanced fraud detection capabilities

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Sikich
Provider: Microsoft
Maturity: Production
Linked source: sikich.com

Automation of repetitive tasks reduced staff workload, improved productivity, and lowered operational costs

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

1Automated financial reporting
2Fraud detection with Copilot
3AI-driven risk analysis

Financial services organizations operate in a highly regulated landscape with strict compliance requirements.
Traditional risk analysis and fraud detection methods are labor-intensive and often reactive.
Manual client reporting is prone to errors, delays, and inconsistencies.
Automating productivity while ensuring regulatory adherence was a major challenge.
Operational costs needed reduction to remain competitive.

Sikich deployed Microsoft Copilot integrated with Microsoft 365.
Automated routine tasks across finance operations using AI.
Implemented Copilot for risk analysis, compliance monitoring, and fraud detection.
Provided clients with AI readiness assessments for tailored Copilot adoption strategies.
Improved client reporting accuracy and operational workflows using Copilot's AI features.

Technologies

Microsoft Copilot

Reduced operational costs for finance clients.
Increased business productivity and employee efficiency.
Streamlined compliance processes with fewer errors and faster regulatory reporting.
Improved client reporting accuracy and speed.
Enhanced fraud detection capabilities.

Sources & evidence1

Evidence: Low40/100Evidence strength