How to Transform Financial Operations

𝗧𝗵𝗲 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁𝗮𝗹 𝗖𝗙𝗢 — 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗹𝗮𝗻𝗲 𝗪𝗵𝗶𝗹𝗲 𝗜𝘁’𝘀 𝗙𝗹𝘆𝗶𝗻𝗴 “𝘚𝘵𝘰𝘳𝘪𝘦𝘴 𝘢𝘯𝘥 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘢𝘯 𝘶𝘯𝘦𝘹𝘱𝘦𝘤𝘵𝘦𝘥 𝘫𝘰𝘶𝘳𝘯𝘦𝘺 𝘪𝘯 𝘧𝘪𝘯𝘢𝘯𝘤𝘦.” I was recently brought in to transform a finance function that “needed serious attention.” The mandate was clear: rebuild the foundation—modernize systems, improve accuracy, and strengthen controls. But at the same time, I was expected to keep delivering strategic insights, supporting growth, and driving enterprise value. In other words, I was asked to 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗽𝗹𝗮𝗻𝗲 𝘄𝗵𝗶𝗹𝗲 𝗶𝘁’𝘀 𝗳𝗹𝘆𝗶𝗻𝗴. It’s a challenge every transformational CFO knows well. You inherit a legacy finance organization—often underinvested, overextended, and dependent on spreadsheets that should’ve been retired years ago. Yet the business still expects you to operate like a jet engine: fast, precise, and ready for takeoff. Here’s the truth: transformation isn’t a side project. It’s a full-flight overhaul that requires patience, prioritization, and, above all, clear communication. Managing expectations—especially with the CEO and board—is critical. The instinct to “do it all” is strong, but that mindset often leads to burnout, missed milestones, and half-fixed systems. When I step into these roles, one of my first conversations with the CEO centers on 𝘄𝗵𝗮𝘁’𝘀 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲, 𝘄𝗵𝗮𝘁’𝘀 𝗿𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁’𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱. Transformation doesn’t mean slowing down—it means sequencing change so that improvements stick. A new ERP system doesn’t fix bad data. Faster reporting doesn’t matter if the numbers can’t be trusted. Growth is only sustainable when the foundation beneath it can support the weight. The CFO’s job, then, is to keep the plane in the air while methodically upgrading its parts—replacing the outdated instruments, tightening up the engine, and making sure the wings are strong enough to handle the turbulence ahead. That means knowing when to accelerate and when to glide. It’s about being strategic enough to see the long-term destination while pragmatic enough to land safely if the warning lights start flashing. Sometimes, the bravest thing a CFO—or any leader—can do is pause and say: “𝗪𝗲 𝗰𝗮𝗻 𝗿𝗲𝗮𝗰𝗵 𝗼𝘂𝗿 𝗱𝗲𝘀𝘁𝗶𝗻𝗮𝘁𝗶𝗼𝗻, 𝗯𝘂𝘁 𝗳𝗶𝗿𝘀𝘁 𝘄𝗲 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗮𝗸𝗲 𝘀𝘂𝗿𝗲 𝘁𝗵𝗲 𝗽𝗹𝗮𝗻𝗲 𝗰𝗮𝗻 𝗳𝗹𝘆 𝘁𝗵𝗲 𝗱𝗶𝘀𝘁𝗮𝗻𝗰𝗲.” Modern CFOs aren’t just financial stewards; we’re transformation pilots. We’re guiding organizations through complexity, balancing forward motion with foundational repair, and making sure growth doesn’t outpace readiness. So, to my fellow finance leaders: how do you keep your organization moving forward while ensuring the systems, people, and processes beneath it are truly built to last? #TheAccidentalCFO #FinanceLeadership #TransformationInAction #inersec #CFOInsights

Everyone says AI will transform finance, but no one tells CFOs how to make it actually pay off. AI pilots are everywhere… but measurable ROI is rare. If you’re a CFO or FP&A leader, you don’t need another tool, you need a framework that connects AI to business outcomes. Here are 5 that actually work: 1) The 4R Framework Recognise → Identify real finance pain points. Redesign → Integrate AI and automation into the process. Run → Pilot with real data and defined KPIs. Realise → Quantify time, cost, and error reductions. 2) The VALUE Framework Vision – Automate – Learn – Use – Evaluate. Start small, build literacy, then scale what delivers measurable impact. 3) The 3P Framework People. Process. Platform. Train your team, redesign workflows, and choose scalable tools (Python - available now in Excel, Copilot, ChatGPT Enterprise, Power BI). 4) The ROI Loop Measure → Deploy → Measure again → Reinvest. Treat AI like any other capital project. Expect a return, not a headline. 5) The MIND Framework Model – Interpret – Narrate – Decide. Turn deterministic Python outputs into GenAI-powered insights that drive action. BONUS: The FOUNDATION Framework Before deploying AI, build a clean, automated, and standardised data layer. Then: a) Define the real business problems to solve. b) Deploy a standardised, repeatable solution that uses not only AI, but also automation, data governance, and integration across your systems. Because AI is only as powerful as the data and the discipline behind it. These frameworks can help you move finance from AI hype to measurable value. Sharing 3 More Resources to make this happen: https://lnkd.in/erM6KiNv https://lnkd.in/eTgrPPec https://lnkd.in/eTVnDvKQ

Financial reporting should be about strategic decision-making, not manual data wrangling. Yet, finance teams still spend days pulling data, reconciling numbers, and formatting reports—only to find errors at the last minute. The process is time-consuming, prone to mistakes, and slows down critical business decisions. Robotic Process Automation (RPA) with tools like UI Path is transforming financial reporting. Instead of manually extracting, cleaning, and consolidating data, automation does it for you—accurately, in real time, and without delays. Here’s how it works: ✅ Data is automatically pulled from multiple sources (ERP, CRM, spreadsheets, banks). ✅ Reconciliations happen instantly, reducing errors and improving accuracy. ✅ Reports are generated in minutes—standardized, formatted, and audit-ready. Without automation, finance teams are stuck in reactive mode, spending 80% of their time on report preparation and only 20% on analysis. The result? Slower decision-making, frustrated CFOs, and outdated insights. A company that automated its reporting process cut preparation time by 60%—freeing up finance teams to focus on forecasting, strategy, and real business impact. If your team is still manually preparing reports, you’re already behind. It’s time to automate and turn your finance team into a real-time data powerhouse. 📩 Let’s talk about how RPA can transform your financial reporting. Drop a comment or send me a message if you’re ready to make the shift! #Automation #RPA #FinanceTransformation #CFO #FinancialReporting

💣 Most FP&A transformations are doomed to fail before they even begin Because Step 1 Data Alignment was never even a part of the plan! It is tempting to jump straight into reporting automation, dashboards, or planning tools. But if your source data is inconsistent, fragmented, or misaligned every insight you generate will be misleading, late, or flat-out wrong. This is not a technology issue. In finance, foundational disciplines must be executed flawlessly. Correct data architecture is the bedrock of any successful transformation. Here is what effective data alignment looks like (and how ABCL approaches it): 🔹 Map the source systems – ERP, CRM, HRIS, Excel: know where everything lives 🔹 Standardise definitions – Revenue, cost, margin, customer: aligned across departments 🔹 Harmonise timeframes – Close calendars, fiscal periods, weekly/daily logic 🔹 Design a unified model – Built around key business decisions, not data dumps 🔹 Implement ownership and governance – Define refresh cycles, owners, and data rules This is not a ‘tech’ task. It is a foundational finance technology architecture done once, done right. At Akshar Business consulting, every transformation starts with this: No dashboards. No models No forecasts. No AI. Until the data story is aligned.. That is why we never skips Step 1: Data Alignment.

Only 1 in 3 fintechs ever achieve real scale from their transformation initiatives. The rest keep rebuilding the same engine every year. I saw this up close. A few years ago, I walked into a fintech that had every advantage on paper ➟ Funding, talent, big ambitions.  ➟ But inside, everything was fragmented.  ➟ Teams were building in silos.  ➟ Tech was modern, but the operating model was ancient.  ➟ Strategy sounded good, but execution had no pulse. Everyone was busy. No one was aligned. That’s when it hit me: Digital transformation doesn’t fail because of technology. It fails because the foundations are missing. And after leading multiple transformations across markets, I’ve learned one truth: Every successful fintech transformation gets the same 8 components right. Miss even one, and the entire system drags. Here’s the breakdown 👇 1. Strategic Vision ↳ Define the future state with clarity and measurable ambition. ↳ Direction beats speed. 2. Governance & Leadership ↳ Ownership, decision rights, escalation paths. ↳ Transformations collapse without accountability. 3. Customer Focus ↳ Build around journeys, not assumptions. ↳ Solve friction before adding features. 4. Operational Excellence ↳ Redesign for speed, automation, and flow. ↳ A broken process can’t be digitized. 5. Technology Enablement ↳ Modern stack, clean data, scalable platforms. ↳ Tech must accelerate, not complicate. 6. Culture & Talent ↳ Shift mindsets, upskill teams, reward adaptability. ↳ Transformation is 80 percent people. 7. Ecosystem Partnerships ↳ Leverage fintechs, vendors, and alliances to scale faster. ↳ No fintech wins alone anymore. 8. Continuous Improvement ↳ Experiment, measure, refine. ↳ Momentum comes from iteration, not perfection. Fintech transformation isn’t a project. It’s an operating system. And when these 8 components lock together, execution accelerates, teams align, and customers feel the difference immediately. Which of these 8 components is your organization underinvesting in? ♻️ Repost if your fintech is building for speed, scale, and real impact. 🔔 Follow Nadir Ali for Strategy, Leadership & Productivity insights.

How we saved 10+ hours weekly by giving finance a simple interface. Our finance team was processing invoices the same way for years: 1. Email attachments → 2. Manual download → 3. Print → 4. Physical signature → 5. Scan → 6. Manual data entry The entire cycle took 3-5 days. The request to "build a proper approval system" kept getting deprioritized—it felt like a multi-month project. We reframed the problem: We didn't need a complex system. We just needed to connect two things: the data from our accounting software's API and a simple list where the right people could click "Approve" or "Reject." What actually got built: • A single-page app that pulls unpaid invoices automatically • Logic that routes invoices over $5k to directors, others to managers • A comment field for rejections • A basic audit log showing who approved what and when What changed: ✅ Approvals now happen in under 24 hours ✅ The finance team stopped chasing paper trails ✅ Vendors get paid faster ✅ Every decision is logged automatically The takeaway: Sometimes "digital transformation" isn't about big platforms. It's about giving a team one less PDF to manage by building a simple, focused tool that sits on top of the data they already use. What's the most stubborn, repetitive task in your team's workflow? Often the highest-impact tools are the smallest ones that remove a single point of friction. https://uibakery.io/ #ProcessAutomation #FinanceTech #OperationalEfficiency #DigitalTransformation

Your Finance Transformation Is Failing Because You’re Adding, Not Subtracting Every Finance transformation starts the same way: New tools. Bigger dashboards. More reports. That’s the mistake. The best transformations start with deletion. Most Finance teams are drowning in reports no one actually uses: • The 50-page monthly pack skimmed in 5 minutes • Variance analysis that explains the past but never changes the future • “Just in case” dashboards no one checks That’s not reporting. That’s clutter with a Finance logo. Killing reports is uncomfortable because it forces honesty: • You don’t know who really uses them (if anyone does) • You’ve confused being busy with being valuable • Smart people are spending time producing outputs instead of driving outcomes So here’s the real test: If no one would miss it, why does it still exist? High-performing Finance teams don’t start with tools. They map decisions The Fix: Ask those three Questions Before Building Anything 1.    What decision does this influence? (If none, delete it.) 2.    Who owns that decision? (If no one, delete it.) 3.    Can we get this insight faster or cheaper? (If yes, replace it.) Everything else is noise. And noise costs credibility. Real Finance transformation doesn’t start with new software. It starts with a trash can. 💬 What’s the first report you’d delete? (And which one are you afraid to kill but know you should?) #FinanceTransformation #Leadership #NoMoreBusywork

#AI in Asia: Reimagining banking operations through agentic #AI by McKinsey & Company Agentic #AI is moving banking operations beyond siloed automation toward end-to-end orchestration, where “fleets” of agents and humans-in-the-loop can materially shift cost, speed, and resilience across the bank. Key findings 🔹 Operations represent an estimated 60–70% of a bank’s cost base, making them the largest value pool for transformation through #AI-led redesign, not just incremental digitization. 🔹 McKinsey estimates #AI could drive gross reductions up to 70% in certain cost categories and ~15–20% of the total cost base (net of near-term tech cost headwinds). 🔹 Multiagentic systems (multiple specialized agents orchestrated together) are positioned as a way to automate complex, multistep workflows with clear guardrails and human oversight, explicitly aiming to reduce risk (including hallucination) versus single-model approaches. 🔹 Early movers (estimate: <10% globally) are described as seeing 30–50% efficiency gains, 2–3× productivity uplifts, and meaningful customer experience improvements when #AI is embedded directly into workflows. 🔹 The report proposes a ten-domain playbook for bankwide operations transformation (spanning customer journeys, service centers, lending/credit, payments, collections, financial crime, corporate functions, shared services, and zero-based design), arguing these domains account for ~70% of the total opportunity base for #AI-enabled operations. 🔹 It emphasizes that capturing value requires enterprise-wide transformation led from the top (CEO/COO joint ownership), shifting from “tactical automation” to “enterprise intelligence.” Authors: Abhilash Sridharan; Azam Mohammad; David Deninzon; Jan Henrich; Martin Rosendahl; Renny Thomas; Senthil Muthiah; Vinayak HV; Violet Chung Contributors: Hannes Bergstrom; Kanokrat (Mint) Namasondhi, CFA; Paras Chhabra; Rasika Ramesh; Yuvika Motwani #AI #FinTech

Case Study Wednesday: Financial Governance & Process Transformation The Enterprise PMO had a financial governance problem. Forecasts were unreliable. Accruals were off by millions Budget templates were inconsistent. Finance didn’t trust PMO numbers. And as a publicly traded company… that’s not a small issue. Every month meant:   - Feeback - Rework - Friction Previous Finance trainings failed. Most people’s instinct? “Let’s buy a new tool.” I did the opposite. SOLUTION Using the existing tech stack (zero new spend): - Engineered a standardized budget template aligned to Finance requirements - Automated program-level & portfolio-level roll-ups to eliminate manual errors - Integrated with the enterprise portfolio system for scalable reporting - Redesigned PRB forecast templates to remove rework during project transitions - Built intuitive reporting tools so teams could access actuals without Finance dependency - Developed training, onboarding, and enablement to sustain adoption No shiny object. No massive implementation. Just disciplined process design + education. RESULTS - 83% improvement in forecast accuracy - 17% reduction in Finance operational overhead - 40% faster onboarding for new PMO hires - Reduced regulatory risk exposure - Restored Finance confidence in PMO data LESSON & THOUGHT PROCESS If something creates friction every month… It’s not “just the way it is.” It’s a system flaw waiting to be solved. No 6-month assessment required. I was living in the friction. The technology wasn’t broken.  It was the system: • Misaligned templates • Manual roll-ups • Lack of standardization • Training without understanding • Finance & PMO speaking different languages Instead of rebuilding everything, or introducing new tools,  which can create resistance, I optimized the system. I built: - Clarity - Alignment - Automation - Training When you fix what’s been frustrating everyone, You don’t just improve a process. You build credibility  You build trust You build influence _____ ♻️ Repost if you learned from this case study 🔔 Follow Elizabeth Dworkin for more on strategic operations, strategic positioning, and thought leadership

Case Study: We recently worked with a SaaS business at a critical inflection point —the executive team knew they needed to transform their business to stay ahead, but they were grappling with a complex technology and data environment making it difficult to optimize their finance function and gain visibility into fundamental performance KPIs. Here's how Celeborn Capital approached the challenge: 1️⃣ Uncovered Critical Insights: We dove into the company's financial and operational data to identify KPIs that were crucial for driving growth. By standardizing and prioritizing these KPIs, we created executive-level dashboards providing clear, actionable insights. 2️⃣ Aligned Leadership: It was essential to get everyone on the same page. We worked closely with leadership and teams across the business to align on the most impactful initiatives. This included developing a robust value creation target focused on improving revenue and expense profile, ensuring that everyone was speaking from the same set of facts and was clear on direction. 3️⃣ Optimized Revenue Operations Leveraging existing technology, we developed a detailed plan to enhance revenue operations. This included improving customer analytics to reduce churn and boost net dollar retention, driving profitability at both the customer and product level. 4️⃣ Implemented a Sustainable Process: Beyond the immediate fixes, we established a long-term process for reviewing insights from the dashboards and acting on them. This systematic approach allowed the company to continuously optimize performance and make informed decisions swiftly. The Result? The company not only enhanced its enterprise value but also gained a sustainable process for improving decision-making and response time. The transformation led to significant revenue enhancement and cost savings, positioning the company for long-term success. It's not just about having the right tools—it's about using them effectively to drive real, measurable results. This case study is a testament to the power of aligning strategy with execution, leveraging data-driven insights, and focusing relentlessly on value creation.