Digital Transformation Steps

Firing middle managers won't accelerate decisions. The bottleneck just moves up. The middle-management culling continues. The promise: fewer layers means faster data and quicker decisions. Yet most organizations repeat the same mistake. When every meaningful decision still needs approval from the same five executives, you haven't solved anything. You've just hit the bottleneck faster. We've been here before: → ERP systems would revolutionize decision-making → Big data would unlock instant insights → Digital transformation would make us agile Now it's AI and flat hierarchies. Same promise, different wrapper. LegacyCo's governance trap isn't about having too many managers. It's about concentrating judgment at the top while expecting speed at the edges. "Have we pressure-tested this fully?" "What's our governance for downside risk?" "We need stronger stakeholder alignment." This isn't prudence. It's paralysis dressed as process. While others added approval layers, Ritz-Carlton gave frontline staff $2,000 discretionary authority. Decision time: days to minutes. Customer satisfaction: soared. The difference wasn't fewer managers. It was judgment distributed to where information lives. NewCo architects judgment into the system itself. Two roles make this possible: Forward Deployed Engineers (FDE): Technical talent with deployment authority. They see the problem, they fix it. No tickets, no committees. Operational Technologists (OpTech): Business experts who implement their own solutions. The person who knows the process can now improve the process. One brings code. One brings context. Both exercise judgment at market speed. An important distinction to make: distributed judgment without guardrails creates chaos, not speed. NewCo architects trust into the system: → Define clear decision boundaries upfront → Give teams authority within those boundaries → Treat every choice as an experiment → Measure outcomes in real-time, not quarterly → Escalate by exception, not default This is orchestrated judgment - wisdom scaled through systems, not hierarchies. To scale judgment means developing wisdom across the organization, not hoarding it at the top. This requires: → Clarity: Teams who understand impact, not just metrics → Discernment: Knowing which battles matter → Taste: Recognizing quality without committees → Connection: Building trust that enables autonomy Juniors tackle harder problems sooner. Teams develop judgment through practice, not observation. LegacyCo: "Check with me before you move" NewCo: "Move within these boundaries" One question leads to faster bottlenecks. The other leads to market-speed execution. The winners won't have the flattest org charts. They'll have the most distributed judgment. The question isn't how many managers to fire. It's how much judgment you're willing to trust others with.

In a recent discussion with Priscilla Ng, Prudential plc’s Group Chief Customer and Marketing Officer, we delved into Prudential’s shift towards customer-centricity. This conversation underscored the seamless integration of digital innovation and the essential human touch in the insurance sector.   Here are five key insights from our discussion applicable across industries:   🔹Strategic Integration of AI and Human Insight: Prudential is not just using AI to streamline processes; they are using it to significantly enhance personalization and customer service. From simplifying underwriting to transforming service at customer touchpoints like call centers, AI is proving to be transformative. How can other industries use AI not merely for efficiency but as a catalyst for customer connection?   🔹Empowering Employees: In the journey of digital transformation, the role of technology is as crucial as the people behind it. Priscilla emphasized the importance of equipping over 15,000 employees with the necessary mindset, skills, and tools to excel in a digitally evolving landscape. What strategies can companies implement to ensure their teams thrive amidst technological change?   🔹Balanced Approach to Digital and Human Interaction: Despite extensive technological integration, the human element remains critical at Prudential. Their approach ensures that digital enhancements support rather than replace human interactions, thereby strengthening customer relationships. How can businesses maintain this balance to enhance, not undermine, human connections?   🔹Navigating Challenges in Transformation: Adapting to digital transformation comes with challenges, from aligning large teams with new strategies to continuously adapting to emerging technologies. Priscilla shared that a steadfast focus on customer-centricity is essential for navigating these challenges. How can other organizations keep their focus on customer needs while managing transformation complexities?   🔹Continuous Learning and Adaptation: A crucial aspect of Prudential’s transformation is fostering an environment of continuous learning and adaptation. This involves training in new technologies and developing a deeper understanding of customer needs and behaviors. How can continuous learning be structured to keep pace with rapid technological advancements and evolving customer expectations?   This dialogue is part of McKinsey’s ongoing series exploring how leaders steer their companies through transformations. Stay tuned for more insights shaping today’s business landscape. Full interview: https://lnkd.in/gtjphW2s   #Leadership #DigitalTransformation #CustomerCentricity #InsuranceIndustry #AI

Robots riding the metro to deliver goods. The innovation isn't the robots it's using existing infrastructure during off-peak hours. The breakthrough is infrastructure optimization not robot technology. Shenzhen's delivery robots use the metro system that was already running. Didn't build new delivery networks. Didn't add vehicles. Just optimized what existed. Maximum efficiency. Minimal new investment. Lower carbon emissions. This is how the smartest fintech innovations work. They don't build parallel infrastructure. They optimize what already exists. Embedded finance doesn't replace payment systems. It uses existing card networks and banking APIs when traditional channels aren't maximized. Digital lending doesn't build (mostly) new credit assessment infrastructure. It uses alternative data sitting unused in existing systems. The pattern is the same. Find the off-peak capacity. Optimize it. Scale it. Building new infrastructure is expensive. Slow. Capital intensive. Using existing infrastructure intelligently is fast. Efficient. Sustainable. I've watched fintech evolution for twenty years. The winners aren't always the ones building from scratch. Often they're the ones who spot underutilized capacity in existing systems and activate it. Payment rails that can handle more volume. Banking infrastructure with digital capacity nobody's using. Data systems collecting information nobody's analyzing. The off-peak hours of financial infrastructure. The metro was already running. The banking infrastructure already exists. The payment rails already work. The innovation is using them better not building them again. This is why open banking matters. Why APIs unlock value. Why infrastructure sharing creates innovation without duplication. Off-peak optimization beats new infrastructure when you're solving for speed and sustainability. We need smarter use of what we already built. What existing infrastructure in your industry is running at partial capacity waiting to be optimized?

🌟 From PoC to Procurement: How Société Générale Scaled FinTech Innovation and Quietly Wins 💫 Forget traditional corporate venture capital. Societe Generale is pioneering something more impactful. They're transforming how banks work with FinTechs through their Open Banking initiative - treating startups as strategic suppliers rather than just investment opportunities. How are they doing it? Through their #BankasaPlatform and #BankasaService models, they're integrating innovative solutions directly into their operations. Their Open innovation platform connects over 60 innovation leaders across the Group with startups in priority segments. The results speak for themselves: 📌 €230+ million invested through Société Générale Ventures  📌 30+ promising startups and fintechs in their ecosystem  📌 Real procurement driving real business impact. This is what modern financial innovation looks like: 📍 Open Banking APIs enabling rapid integration  📍 Direct startup collaboration without equity complications  📍 Focus on operational value over investment returns Success stories that have evolved over the years include:  💥 Treezor: Pioneering Banking-as-a-Service  💥 Shine: Digital banking for entrepreneurs  💥 Lumo: Renewable energy financing platform. This is venture clienting in action—where startups become strategic partners in digital transformation, not just portfolio companies. For B2B FinTechs: The message is clear. Focus on delivering real value through procurement channels. Société Générale's model shows that customer validation trumps venture funding every time. https://lnkd.in/emeB4Y6x #VentureClient2030 #B2BStartups #InnovationToScale

Fintech's AI Innovation Hyper Curve 💡 ChatGPT was such a leap forward in GenAI that its release formed a chasm between two generations of AI-enabled companies: those that came before (and adapted to it) and those that came after (and built natively with it). While innovation is taking place on both sides of this divide, AI-native companies have a clear advantage in their adaptability by incorporating AI tooling into the earliest iterations of their products. AI fintechs founded since 2020 are pioneering developments in compliance tooling, insurance claims processing and capital markets intelligence, among others. This group is generating more value per dollar raised than the legacy cohort — a sign that leaner growth may be a feature of this new generation of fintech 🚀 Use of AI in fintech can be broadly bucketed into horizontal applications that benefit many sectors, including fintech, and vertical applications that benefit fintech specifically. Promising vertical applications include tools for regulatory compliance, such as AIenabled call monitoring to audit customer service, insurance claims review, and other tedious tasks that are seen as more efficiently handled by a machine. Certain tasks are more acceptable to automate right now than others 🤖 For legacy fintech companies, embracing AI largely means cutting costs by lowering the expense of human capital. In a recent regulatory filing, Swedish fintech Klarna, which provides “buy now, pay later” services, said its chatbot does the work of 700 human workers, and has reduced the time of customer inquiry resolutions from 11 minutes to two minutes. The company has already cut 1,000 jobs and plans to cut 2,000 more. They are not alone. Many companies are using AI as a cost-cutting measure 💰 Source: Silicon Valley Bank - https://t.ly/LfKVy #Innovation #Fintech #Banking #FinancialServices #Payments #Lending #Compliance #AI #DataAnalytics #Cloud #GenAI 

Every retail leader knows this pain. By the time store data is compiled, cleaned, and shared, the day is already over. Because, in many retail chains, store reporting still works like this: 𝟏. Data is pulled from POS after store closing 𝟐. Inventory numbers come from separate systems 𝟑. Promotion execution updates arrive manually 𝟒. Teams merge spreadsheets overnight 𝟓. Leadership reviews numbers the next morning By the time decisions are made, the opportunity is already gone. This isn’t just slow reporting. It’s 𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐠𝐚𝐩. Modern retail leaders are changing the model entirely. Instead of asking, “How do we report faster?”, they ask, “𝐖𝐡𝐲 𝐚𝐫𝐞 𝐰𝐞 𝐬𝐭𝐢𝐥𝐥 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐲𝐞𝐬𝐭𝐞𝐫𝐝𝐚𝐲’𝐬 𝐬𝐭𝐨𝐫𝐞?” And they are making four key shifts: 𝟏. 𝐅𝐫𝐨𝐦 𝐲𝐞𝐬𝐭𝐞𝐫𝐝𝐚𝐲’𝐬 𝐫𝐞𝐩𝐨𝐫𝐭𝐬 𝐭𝐨 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 Sales, stock, and store execution data update continuously. 𝟐. 𝐅𝐫𝐨𝐦 𝐬𝐢𝐥𝐨𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 POS, inventory, workforce, and store execution platforms integrate into a single view. 𝟑. 𝐅𝐫𝐨𝐦 𝐩𝐚𝐬𝐬𝐢𝐯𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐭𝐨 𝐚𝐜𝐭𝐢𝐯𝐞 𝐚𝐥𝐞𝐫𝐭𝐬 Systems surface issues automatically instead of teams hunting for them. 𝟒. 𝐅𝐫𝐨𝐦 𝐡𝐞𝐚𝐝-𝐨𝐟𝐟𝐢𝐜𝐞 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐭𝐨 𝐬𝐭𝐨𝐫𝐞-𝐥𝐞𝐯𝐞𝐥 𝐚𝐜𝐭𝐢𝐨𝐧 Store teams get real-time insights to fix problems immediately. And the result? Reporting cycles that once took 𝟏𝟐 𝐡𝐨𝐮𝐫𝐬 𝐧𝐨𝐰 𝐭𝐚𝐤𝐞 𝐬𝐞𝐜𝐨𝐧𝐝𝐬. But speed isn’t the real transformation here. The real impact is: 𝟏. Stock-outs get fixed before sales are lost. 𝟐. Promotions get corrected mid-campaign. 𝟑. Store execution improves daily. 𝟒. Leadership decisions reflect live reality. Retail transformation isn’t about adding technology, but 𝐫𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐝𝐞𝐥𝐚𝐲 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐢𝐧𝐬𝐢𝐠𝐡𝐭 𝐚𝐧𝐝 𝐚𝐜𝐭𝐢𝐨𝐧. Because in modern retail, the fastest operator wins. How long does reporting still take in your organisation today? #Retail #DigitalTransformation #DataAnalytics #OperationalExcellence #BusinessIntelligence

From embedded to orchestrated finance All technology innovation tends to go through phases of unbundling and re-bundling. After the best niche opportunities have been exploited, the market becomes fragmented and difficult for consumers to navigate. Subsequently, successful entities expand and offer more products. This process is cost-effective as it promotes cross-selling. The standard playbook for startups, sometimes called ‘land and expand,’ is to go to market with a niche product that a small company can viably execute well enough to defend itself from existing players and where the unit economics work - particularly if some efficiency in either operation or distribution can be gained from a modern, digital approach. From this defensible beachhead, an expansion into further markets can be launched. As fintech matures and winners begin to emerge, we are now in a phase of re-bundling, creating a particular market opportunity for bancassurance - a model that is, by definition, a bundling of insurance with banking. The rebundling phase creates both the supply and the demand. The demand comes from platforms becoming aggregators, multi-product platforms like Revolut, which are searching for embeddable services, including embedded insurance, to add to their offering. The supply comes from successful niche fintech products, looking to grow the addressable market (and lower customer acquisition costs) for their product(s) by tapping into others’ distribution channels, and to lower average costs by spreading production costs over larger volumes. On the demand side, Wise is a good example. The fintech conspicuously renamed itself from Transferwise to Wise so that it could cross-sell other products and services without being boxed into currency transfers. On the embedded finance supply side, Currency Cloud provides embedded currency transfer services for other companies, such as Revolut. These products already extend to bancassurance, where, for example, Qover provides embedded insurance for Revolut customers. As the larger fintechs move first to expand their range of offerings, existing banks can and will follow suit. For banks, the embedded approach becomes more attractive than traditional, pre-internet bancassurance as it allows for greater segmentation and personalization, leading to increased customer loyalty and growth. While larger banks that can afford significant development costs and are subject to increased security and regulatory constraints may still opt for in-house solutions, the trade-offs between build vs. buy are rapidly diminishing. 👉 Subscribe for more insights https://lnkd.in/d94JgWBU Source Aperture / Alicia #fintech #payments #embeddedfinance Thomas Leda Timothy Alex Ali Carlos

AI-Powered Regulatory Sandboxes: Transforming FinTech Innovation FinTech innovation is tough - strict regulations, long approval cycles, and high compliance risks mean one mistake can stop a product before launch. AI-powered regulatory sandboxes solve this by offering a controlled, regulator-approved environment where startups can safely test financial products with real users and limited risk. The document highlights that traditional sandboxes rely on manual checks and slow reporting. AI improves this with: Automated KYC/AML Real-time fraud detection Smart transaction monitoring Instant compliance alerts Faster regulatory feedback Countries like the UK, Singapore, UAE, and India are already using AI-driven sandboxes across digital payments, BNPL, crypto, credit scoring, and cross-border payments. With built-in safety rails-transaction limits, user caps, anomaly shutdowns, and fairness checks-AI ensures responsible innovation without compromising user protection. The future is intelligence-driven regulation: real-time compliance, continuous oversight, and AI-assisted policymaking. Innovation and compliance can finally move together. #FinTechInnovation #AISolutions #ComplianceTech #DigitalFinance #FinTechStartups #FinancialTechnology #GlobalFinTech

𝗪𝗵𝘆 𝗱𝗼 𝘀𝗼 𝗺𝗮𝗻𝘆 𝗘𝗥𝗣 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗮𝗶𝗹? 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝘁𝗿𝗲𝗮𝘁 𝗶𝘁 𝗹𝗶𝗸𝗲 𝗮 𝘀𝗶𝗺𝗽𝗹𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗮𝘁𝗰𝗵, not the business transformation it truly is. Listening to my network, there seems to be a rush to complete ERP migrations, as fast as possible, with SAP S/4HANA plans driving most of it. But an ERP system is more than just an IT upgrade. It’s a chance to redesign how your business operates and build a solution architecture that supports agility and innovation. While necessary, these migrations often become redundant without proper alignment to business goals. Something, I've seen happen! Here some get rights to consider: ◉ 𝗔𝗹𝗶𝗴𝗻 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝘁𝗲𝗰𝗵 𝗴𝗼𝗮𝗹𝘀 Ensure that IT and business leaders are on the same page. ERP systems serve broader business objectives, such as innovation, improving procurement strategies, and enhancing supplier relationships. ◉ 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼𝗼𝗹𝘀. Instead of getting caught up in the technology itself, be clear about the business benefits you'd like to achieve. New ERP functionality can be of support to achieve goals like efficiency, cost reduction, and agility. ◉ 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 Don't just migrate complex, outdated processes but streamline them end-to-end. Reevaluate processes for efficiency and desired outcomes. ◉ 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗰𝗵𝗮𝗻𝗴𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗶𝗻 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 ERP migrations often fail due to poor user adoption. Beyond training, invest in communication & ongoing support showing the value and relevance of the system to users. ◉ 𝗜𝗻𝘃𝗼𝗹𝘃𝗲 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘁𝗲𝗮𝗺𝘀 ERP impacts every area of the business, so cross-team collaboration is essential. Involve stakeholders from finance, procurement, IT, and operations ensures the system meets everyone’s needs. ◉ 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 - 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗼𝗺𝗽𝗿𝗼𝗺𝗶𝘀𝗲 An ERP system is only as good as the data it processes. Ensure that data is clean, consistent, and reliable before migration. Dirty or incomplete data is one of the biggest challenges post-go-live. ◉ 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘀𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Choose an architecture which allows for future-proofing and integration of new features, scalability and integration. Business models evolve, and your ERP must evolve with them." ◉ 𝗦𝗲𝘁 𝗿𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝘁𝗶𝗺𝗲𝗹𝗶𝗻𝗲𝘀 - 𝗶𝘁'𝘀 𝗻𝗼𝘁 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝗾𝘂𝗶𝗰𝗸 𝗶𝗳 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 Don’t rush an implementation. ERP migrations are complex and require time to integrate properly. A phased approach allows for troubleshooting and mitigates a risk for failure. ❓Any other "get rights" i missed and you would add from your experience. #erp #businesstransformation #migration #sap4hana

Building #CrossBorder Alliances for driving and accelerating innovation in Cross Border Payments (Part 2 of 2) The solution lies in fostering collaborative #ecosystems that bring together fintechs, traditional financial institutions, regulators, and governments. Here's how we can build these alliances and drive innovation (its a long list and its not exhaustive): Embracing Cutting-Edge Technologies ✔ Using #Blockchain and DLT can provide a shared, immutable ledger for recording transactions, reducing intermediaries and increasing transparency ✔ Use of #AI can enhance fraud detection, automate compliance processes, and optimize currency exchange rates Forging Partnerships between Fintechs and Traditional Players ✔ Traditional banks & remittance co. can partner with fintechs to modernize their offerings ✔ Collaboration between Intl #Innovation Hubs where fintechs and traditional institutions can collaborate, share ideas, and test new solutions in a controlled environment. Pursuing Regulatory Harmonization ✔ Implement cross-border regulatory sandboxes to allow fintechs to test innovative solutions in multiple jurisdictions simultaneously. ✔ Work towards common regulatory standards for KYC, AML, and data protection across regions to reduce compliance complexity. ✔ Invest in RegTech solutions to automate and streamline compliance processes across borders Fostering Intergovernmental Cooperation ✔ Collaborate on the development of interoperable CBDCs to facilitate seamless cross-border transactions (Project mBridge, Agora to name two such initiatives) ✔ Support initiatives such as Project Nexus. ✔ Establish frameworks for secure, privacy-compliant data sharing across borders to enhance the efficiency of cross-border payments. Standardization and Interoperability ✔ Accelerate the adoption of ISO 20022 as a global standard for payment messaging to enhance data richness and interoperability. ✔ Develop and adopt common API standards for payment initiation, account information, and transaction status across different systems and countries. Focus on Financial Inclusion ✔ Develop cross-border payment solutions that are accessible via mobile devices to reach underbanked populations. ✔ Utilize alternative data sources and AI to assess creditworthiness, enabling cross-border microlending and remittances for underserved communities. Enhancing User Experience ✔ Implement end-to-end tracking of cross-border payments, providing transparency and certainty to users. ✔ Create unified digital identity solutions that streamline customer onboarding across multiple jurisdictions. The key to success is a multi-faceted approach as we build these global and domestic fintech alliances, we're not just improving a payment system – we're creating a more interconnected, inclusive, and efficient global economy. The journey has begun, but there's still much work to be done. #Fintech #CrossBorderPayments #FinancialInnovation #GlobalAlliances