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Course Overview and Strategic Context for CFOs

Setting the CFO Agenda for Digital Transformation

Technology Landscape Primer: AI, Automation, Blockchain, Analytics, and Cloud

Impact on Core Finance Domains

FP&A and Performance Management with AI and Advanced Analytics

Controllership, Close, and Compliance with Automation and Cloud

Treasury, Payments, and Blockchain Use Cases

Enterprise Risk Management and Data Security in a Digital Finance Stack

Designing and Executing the Finance Digital Strategy

Target Operating Model for a Digital Finance Function

Roadmapping, Funding, and Value Management

CFO Leadership and Board Engagement

Leading Change: Operating Mechanisms and Culture

Board Communication and Oversight for Digital Transformation

Capstone and Application

Capstone: Build a 12–18 Month Digital Finance Roadmap

Knowledge Check

Quiz: Technology Impact Across Finance Domains

Quiz: Data, Risk, and Governance Fundamentals

Quiz: Target Operating Model and Delivery

Quiz: Funding, Metrics, and Value Realization

Quiz: Board Communication and Oversight

CFO-Led Digital Transformation: AI, Automation, Blockchain for Finance Outcomes is a practitioner-designed course that equips finance leaders to convert technology buzzwords into measurable business value. Built for CFOs and senior finance executives, the program shows exactly how AI, automation, advanced analytics, and blockchain can accelerate forecast accuracy, shorten close cycles, unlock working capital, and reduce risk—while aligning to enterprise strategy and board expectations. You’ll learn the technology landscape in plain English, the data foundations required to make it work, and the operating mechanisms that sustain scale, controls, and compliance. Through domain-specific modules spanning FP&A, controllership, treasury, and enterprise risk, you’ll see proven adoption patterns, value levers, and guardrails that protect the integrity of financial reporting. The course goes beyond concepts with playbooks for roadmapping, funding, vendor management, and value realization, culminating in a capstone where you build a board-ready 12–18 month digital finance roadmap. If you’re accountable for outcomes—not pilots—this course gives you the tools to lead, communicate, and govern a digital finance transformation with confidence.

CFO-Led Digital Transformation: AI, Automation, Blockchain for Finance Outcomes

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            <p>CFOs are being asked to do more than optimize the back office—they are now expected to architect digital finance capabilities that unlock efficiency, resilience, and decision advantage across the enterprise. This course equips senior finance leaders to translate buzzwords into board-level outcomes, connecting AI, automation, blockchain, analytics, and cloud to the finance agenda: lowering cost-to-serve, accelerating cycle times, strengthening controls, and sharpening capital allocation. We start by framing the strategic context—why digital now, how value is defined in finance (efficiency, effectiveness, experience, and risk reduction), and what it means for the CFO to orchestrate with the CIO/CTO, CISO, COO, and CHRO under evolving board oversight and risk appetite.</p>
<p>Participants will gain a pragmatic technology primer focused on what these tools actually do for finance, typical adoption patterns, build-buy-partner choices, and the data prerequisites—governance, lineage, quality, and access controls—within regulatory and security constraints. We then go deep into core domains: FP&A with AI-enabled forecasting and driver-based planning; controllership with continuous accounting, intelligent automation, and policy-as-code for compliance; and treasury and payments with blockchain-enabled smart contracts, tokenization, and on-chain proofs to improve liquidity, transparency, and settlement speed—always tied to measurable value such as forecast accuracy, days to close, exceptions rate, working capital, and cost per transaction.</p>
<p>Because risk is inseparable from digital finance, the course embeds enterprise risk management throughout: model risk management for AI (validation, drift, monitoring), data privacy and role-based access for sensitive finance data, third-party and concentration risk in cloud/SaaS, and business continuity for always-on processes, aligned with audit and risk committee charters. You will design the target operating model for a digital finance function—product-centric delivery, finance data product ownership, centers of excellence for AI/automation, federated models with citizen developers, and the skills mix of analytics translators and process owners—grounded in process standardization and platform strategy across ERP, data lakehouse, and integration patterns.</p>
<p>Execution turns strategy into outcomes. We guide you through roadmapping and value management: prioritizing use cases by value, feasibility, and risk; shaping OpEx/CapEx funding and portfolio governance; establishing baselines, targets, and benefit tracking (financial and risk); scaling from pilots to programs with change management and enablement; and contracting for SLAs, KPIs, and exit strategies. The leadership modules translate this into operating mechanisms and culture—OKR alignment, agile governance, responsible AI guardrails, and cross-functional playbooks—along with board-ready communication: strategy, risks, investments, outcomes, dashboards, risk heatmaps, milestones, and scenario discussions spanning cyber incidents, model failure, and third-party outages.</p>
<p>The capstone consolidates learning into a 12–18 month digital finance roadmap. You will select three high-value use cases across FP&A, controllership, or treasury; define outcomes, KPIs, risks, and controls; draft operating model changes and skills plans; specify data requirements; and build a board-ready one-pager with a risk-informed investment case and scale plan for governance, funding, and change. Knowledge checks throughout reinforce technology impacts, data and risk fundamentals, target operating model design, funding and metrics, and board engagement—ensuring you finish with the confidence and artifacts to lead a CFO-led digital transformation that is outcome-driven, auditable, and enterprise-aligned.</p>
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