I have led ERP transformations at three organizations: SAP S/4HANA across more than 25 legal entities at Quess Corp, Microsoft Dynamics 365 at Aditi Technologies, and again at Artizent. Each program started with a clear plan. Each time, the hardest part had nothing to do with technology.
The instinct in any transformation is to start with systems. But tools are only as good as the operating model they sit inside. At Quess, we were consolidating operations across eight countries and 300,000 employees while rolling out SAP, transitioning to Ind AS, and implementing GST across all Indian entities. The technical complexity was real. But the work that mattered most was getting 300 finance professionals to change how they worked and why.
The Metric That Tells You It Has Landed
A transformation is complete not when the system is live, but when business leaders call finance before a decision, not after. At Artizent, that shift came when our private equity sponsor began routing capital allocation questions through finance first. No software creates that trust. It comes from demonstrating consistently that finance adds clarity to the conversation. Everything else is implementation detail.
Better Decisions Start Before the Model Is Built
The most consequential decisions I have been part of include the Quess IPO, which was oversubscribed 147 times, the private equity investment into Artizent, and the Aditi, Symphony Teleca, and Harman merger. They shared a common pattern. The quality of the outcome was determined less by the decision itself than by the rigor of the process that preceded it.
In every major transaction, the assumptions made explicit survived scrutiny. The ones left implicit became problems. My practice now, whether for a capital raise, an acquisition, or a significant operational investment, is to force the key assumptions onto paper before the financial model is built. What has to be true for this to work? What is the realistic downside? What would cause us to walk away?
Finance adds the most value upstream of the decision. It shapes how the question is framed, what scenarios are modeled, and which assumptions are tested before anyone commits. That requires a willingness to challenge constructively in rooms where the direction has often already been set. After 28 years of sitting in those rooms, I believe constructive challenge, delivered with data and without agenda, is the most valuable thing a CFO can offer.
Governance Should Make Speed Possible
Managing compliance across more than 25 legal entities in eight countries teaches you quickly that governance frameworks and governance culture are not the same thing. The obligations included Ind AS, US GAAP, SOX, transfer pricing, GST, and NCLT proceedings. You can have a complete control matrix and still have a broken risk culture.
The frameworks I have seen work best are designed around the risks that matter to the business, not the risks that are easiest to document. At Quess, the material risks were operational: workforce compliance, client concentration, and intercompany cash flows across a sprawling structure of multiple entities. The controls we invested in most heavily addressed those risks, not the ones that showed up cleanly in an audit checklist.
Speed and Rigor Are Not Opposites
Fast moving businesses face persistent pressure to move quickly on deals and decisions while maintaining the governance standards that boards and regulators expect. My answer has always been to make governance faster, not lighter. Tiered approval frameworks, deal parameters agreed in advance, and high quality risk information available before a decision lands enable speed without sacrificing rigor. Controls should enable good decisions, not delay them.
Where AI Earns Its Place in Finance
Running finance across a consulting and IT services business puts me in an interesting position on AI. Our clients are building AI solutions. Our finance function is evaluating which of those solutions to adopt. The gap between the two conversations is instructive.
I have seen AI earn its place in invoice processing and accounts payable automation, anomaly detection across high volume intercompany transactions, and first draft variance commentary for management accounts. These are bounded, frequent tasks where models perform consistently. The productivity gains are real.
The Accountability Question
What concerns me more is the accountability gap. When a model flags a provisioning risk or recommends a working capital adjustment, who owns that judgment? In a function that operates under multiple GAAP reporting obligations and private equity sponsor scrutiny, "the algorithm suggested it" is not an answer the board will accept. AI amplifies the quality of your data and processes. It does not substitute for the professional judgment that finance leaders remain accountable for. We need to build AI governance frameworks with the same rigor we apply to financial controls.
The CFO Mandate Has Expanded
My career in finance has spanned investment banking, consulting, business finance, controllership, and the CFO chair across listed enterprises, private equity backed businesses, and privately held IT services firms. What has changed most across those 28 years is not the technical complexity of the role. It is the expectation of what a CFO contributes beyond the numbers.
The CFO mandate has moved decisively toward a forward looking question: what should we do next, and why? At Artizent, I lead finance, risk, and the Strategic Initiatives function, evaluating mergers and acquisitions and leading long term strategic planning and execution. That dual accountability, as steward of financial integrity and architect of strategic direction, defines the modern CFO role better than any job description I have seen.
What Does Not Change
Amid all the evolution, the fundamental accountability remains stewardship of the organization's assets, financial integrity, and long term sustainability. The broader mandate does not dilute that obligation. It adds to it. The CFOs who navigate that well bring genuine commercial perspective while keeping the organization anchored to what the numbers actually say.
Finance in 2030: Five Shifts Already Underway
From where I sit, running finance for a global consulting and IT services business and working alongside clients building the technology reshaping our industry, five structural shifts are already in motion.
Real Time Financial Intelligence
The monthly close will remain. But the competitive advantage will lie in the quality of insight between closes: daily cash visibility, rolling forecasts, and continuous margin analytics.
Automation of Transactional Finance
The work that occupied significant headcount in shared services five years ago is being absorbed by automation. The strategic question is how organizations redeploy that capability, not whether the change will happen.
Integrated Financial and Nonfinancial Reporting
The boundary between financial and environmental, social, and governance reporting is dissolving. Finance functions that treat sustainability as a compliance exercise will be underprepared as integrated reporting becomes the investor and regulatory standard.
Finance as a Platform
Self service data and analytics for business leaders, rather than information channeled through finance analysts, will redefine how the function creates value.
The Human Premium
As automation absorbs routine work, judgment, communication, and ethical accountability become the scarce inputs. The finance leaders who will matter most in 2030 are not the best model builders. They are the ones who know what questions to ask.