The ascendency of AI has come with it the ascendency of Chief AI Officers, with a number of prominent companies having hired or appointed one in the past few years. But for the companies not yet ready to fully commit to bringing one on full time, Chicago-based Sikich announced the launch of its new virtual Chief AI Officer service.
The service aims to provide clients with executive-level AI guidance without the overhead of a full-time hire. Such a virtual CAIO would provide custom-tailored AI strategies aligned with business objectives, identifying high-impact AI use cases and creating forward-looking implementation plans. They would also provide recommendations for AI tools, platforms and vendors, including guidance on build-versus-buy scenarios and seamless technology integration, as well as assistance with ensuring AI initiatives meet ethical standards, regulatory requirements and organizational values, with guidance on data privacy and AI model fairness. The service will also serve to facilitate collaboration between IT, data and business teams so as to maximize AI initiative value; and providing assessment and real-time optimization of AI strategies to keep pace with technological advancements and changing business needs. The virtual CAIO service also offers an add-on specifically designed to support customers embarking on the successful deployment of Microsoft 365 Copilot.
In an email, Ray Beste, principal AI strategist at Sikich and the lead on this service line, said it is comparable to the virtual CFO services provided at many firms. It is, in fact, a strategic extension of the firm’s existing virtual executive services like virtual Chief Information Officer and virtual Chief Information Security Officer.
Sikich lobby in Naperville, Illinois
Photo: Matt Stout
“What makes the vCAIO unique is its focus on a highly specific and evolving area of business: AI strategy. While a traditional CIO or CISO focuses on broader IT or security concerns, the vCAIO is designed to help organizations navigate the unique challenges and opportunities AI presents,” he said.
Beste said he will serve as the primary resource, fully dedicated to this role. Depending on client needs, he said, they will scale and resource accordingly, leveraging the firm’s in-house AI experts. This follows the same successful model they use for their vCISO and vCIO services, where they bring in the right specialists to deliver tailored solutions.
The firm used its own experience implementing AI solutions—combined with insights from client engagements and conversations—to develop this service by identifying the intersection of AI-specific needs and traditional executive roles. Through this process, they further refined their idea of what makes for a quality CAIO.
“It’s someone who understands both the big picture of where AI is going and the practical realities of applying it to business problems. This person must collaborate seamlessly with CIOs, CDOs, CTOs and CISOs because AI impacts budgets, data and security across all these roles. A great vCAIO combines business acumen, technical knowledge and the ability to work at all levels of an organization,” he said.
Beste said that this new service is still built on a foundation of AI advisory work they’ve been doing for years, and added that this initiative was born because their clients expressed a need for ongoing partnership in this area. So far, he said, industries like life sciences, insurance and professional services are showing the most interest. These organizations often already have CIOs or CDOs but need someone to cut through the noise and help them prioritize the right AI investments.
He also said that smaller companies might benefit from the vCAIO service as well.
“Smaller companies with ambitious growth goals may also find this service valuable. They might not yet be ready to hire a full-time AI executive but recognize that expert guidance can help them scale faster. Ultimately, it’s about mindset and urgency rather than size, industry or geography,” he said.
Sikich is currently in active discussions with several organizations interested in leveraging this service to accelerate their AI strategies.
Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.
Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.
In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.
Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.
Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.
Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.
Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.
Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.
The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.
In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.
AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.
When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.
Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.
This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.
Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.
Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.
Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.
Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.
Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.
This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.
Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.
By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.
Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.