Balancing Technology With Work

PwC is Training Junior Accountants to Work Like Managers AI is changing the job before it even starts. According to PwC’s AI assurance leader Jenn Kosar, automation is taking over much of the repetitive audit work traditionally assigned to entry-level staff. As a result, new hires are being trained to supervise AI and take on responsibilities that used to be handled by accountants with 3–4 years of experience. Key changes in PwC’s approach: • Shift in skills focus: Critical thinking, negotiation, and professional skepticism are now core from day one. • AI integration: Routine tasks are automated, freeing staff to focus on higher-value work. • Revamped training: Career development now includes “assurance for AI” and preparing accountants to guide tech-driven workflows. PwC says these changes are designed to prepare staff for the future of accounting where technology handles the volume, and humans handle the judgment. This is where our industry is going. The sooner we adapt, the better we come out on the other side. #AI #Accounting #PwC #FutureOfWork #Careers

Having this mindset will make you unstoppable: "I don't know how, but I'll find a way." This one thought fuels countless success stories. It helps you see challenges as opportunities. It keeps you moving forward when things get tough. Why This Mindset Wins: ✅ Resilience ↳ Overcomes obstacles with determination and grit. ↳ Bounces back stronger after every single setback. ✅ Creativity ↳ Finds solutions to challenging, complex problems. ↳ Thinks outside the box to achieve success. ✅ Adaptability ↳ Adjusts quickly to changing environments. ↳ Thrives in uncertain or unfamiliar situations with ease. ✅ Persistence ↳ Never gives up, no matter the challenge. ↳ Keeps pushing until success becomes inevitable. But here’s the truth: In today’s world, mindset isn’t enough anymore. To lead successfully, you need more than grit. You need the right tools, strategies, and systems. And that means leveraging technology effectively. How Technology Fuels This Mindset: 💡 Resilience Meets Automation ↳ Automation keeps you moving through tough times. ↳ Tools like AI help overcome common setbacks. 💡 Creativity Amplified by Innovation ↳ Technology sparks creativity and problem-solving. ↳ AI tools like ChatGPT save hours and effort. 💡 Adaptability Enhanced by Data Insights ↳ Real-time dashboards help leaders pivot. ↳ Data-driven decisions make adaptability effortless. 💡 Persistence Simplified with Efficiency ↳ Technology eliminates time-wasting tasks instantly. ↳ Less busywork, more focus on what actually matters. How to Start: 1️⃣ Embrace Digital Challenges ↳ View technology as a tool, not a threat. ↳ Test tools that simplify, automate, or organize tasks. 2️⃣ Stay Curious About Tech ↳ Ask your IT provider why certain tools are used. ↳ Take online courses to learn AI and cybersecurity. 3️⃣ Build a Tech-Driven Network ↳ Connect with peers using technology to drive results. ↳ Partner with experts who align with your goals. 4️⃣ Track Small Wins with Tech ↳ Use CRMs or apps to measure your growth. ↳ Celebrate every way technology simplifies your life. Steps You Can Take Today: 📌 Audit Your Tech Stack ↳ Are your tools helping or just adding complexity? 📌 Explore AI Solutions ↳ Where can AI save time or reduce risks? ↳  Psst I have a workshop on this November 20th 📌 Ask Your IT Provider Tough Questions ↳ Do they understand your business or just tech? ↳ Are they proactive or only fixing things reactively? ↳ Check out my FFREE IT Checklist in the comments! 📌 Create a Tech Vision ↳ What could you achieve with better technology? ↳ Set clear goals for transformation, not maintenance. ↳ I created a FREE community to support this process! Never doubt the power of determination. But remember: Determination powered by technology? That’s the ultimate game-changer. 👇 Share your thoughts below! ♻️ Found this valuable? Share it with a fellow leader.

Will Accounting Be Replaced? 🤖 💼 Everyone's asking if AI will replace accountants... Let me settle this once and for all. ➡️ WHAT WILL TRANSFORM ADVISORY SERVICES are becoming the heart of what we do. Gone are the days when accountants just crunch numbers. Now we guide strategic decisions using real data insights. Companies need advisors who understand both numbers AND business strategy. FORENSIC ACCOUNTING gets supercharged with advanced analytics. Finding fraud used to be like searching for a needle in a haystack... With AI-powered anomaly detection, we spot patterns humans would miss. The fraudsters are getting smarter, but so are our tools. AUDIT & RISK ASSESSMENT will never go away, but everything about it is changing. Instead of sampling transactions once a year, we're moving to continuous auditing with real-time data. AI review systems flag issues as they happen, not months later when it's too late. FINANCIAL ANALYSIS & FORECASTING is where accountants shine brightest. Sure, AI can run calculations, but humans bring context to numbers. Our forecasting is getting enhanced by predictive analytics and scenario modeling that processes variables faster than ever before. CLIENT COMMUNICATION is shifting completely. We're moving from transaction processors to trusted advisors. ➡️ WHAT WILL BE REPLACED Let's be honest... some parts of accounting are tedious and perfect for automation. MANUAL DATA ENTRY is already on its way out. AI-driven data capture and OCR tools process invoices and receipts in seconds, without the errors humans make after hours of monotonous work. ROUTINE BOOKKEEPING tasks are getting automated through cloud accounting software. Bank feeds, automatic categorization, and machine learning mean the days of manually reconciling every transaction are numbered. BASIC TAX PREPARATION for standard situations will be handled by smart platforms. E-filing tools get smarter every tax season. The complex tax strategy work? That's still all us. INVOICE MATCHING & RECONCILIATION is perfect for automation. AI bots can match thousands of invoices to purchase orders in minutes, with real-time reconciliation systems keeping everything in sync. COMPLIANCE MONITORING no longer needs accountants to manually check every rule. Automated alerts and built-in compliance checks flag issues instantly, letting us focus on solving problems rather than finding them. ➡️ THE FUTURE ACCOUNTANT The accountants who will thrive aren't fighting against technology... They're embracing it. The future belongs to those who combine technical accounting knowledge with: - Strategic thinking - Business acumen - Technology fluency - Communication skills === What parts of your accounting job do you think will change the most with AI? Which skills are you developing to stay ahead? Join the discussion in the comments below 👇

Could a Centralized IT Office within the office of the president be a 200-300 million USD Annual savings game changer for Ghana? As Ghana transitions governments and prepares for its first female Vice President, we have a unique opportunity to rethink how technology can drive governance and public service delivery. One idea that’s worth serious consideration: establishing a Centralized Office for IT Coordination within the presidency. Here’s the pitch: This office would serve as the nerve center for all government technology initiatives, overseeing procurement, system standardization, and digital transformation across ministries, departments, and agencies (MDAs). But this isn’t just about saving money—it’s about creating a more efficient, transparent, and citizen-focused government. Why This Matters 1. Eliminating Redundancy Independent IT procurement by MDAs often leads to duplicative systems that cost time and resources. A centralized office could consolidate licenses and platforms, ensuring better integration across agencies. • Example: The US General Services Administration saved over $1 billion by centralizing IT and creating shared service platforms. 2. Scaling Innovation Centralized IT governance would allow Ghana to align its technology investments with national development priorities. This isn’t just about efficiency—it’s about creating an enabling environment for transformative projects like national digital identity systems and integrated e-government platforms, similar to Singapore’s GovTech initiative. 3. Operational Efficiency Standardized systems reduce operational overheads and ensure consistent quality across government services. A centralized approach could cut down 10–15% of resource costs annually. • Example: Rwanda’s Rwanda Information Society Authority (RISA) has streamlined e-government services, ensuring alignment with its Vision 2050. 4 Improved Citizen Services Beyond cost savings, digitized government services improve accessibility and efficiency for citizens. Estonia’s digital systems reduced paper-based processes by 99%, creating faster, more transparent public services. • For Ghana, this could translate to $200–300 million in savings annually while building trust and satisfaction among citizens. Learning from Global Success • United Kingdom: The Crown Commercial Service saved £1.1 billion in 2020 through centralized procurement, proving the power of economies of scale. • Singapore: GovTech has driven groundbreaking initiatives like a national digital identity system, enhancing both service delivery and innovation. • Rwanda: Centralized IT governance ensures alignment with national goals while eliminating redundant spending. • Estonia: By centralizing IT systems, Estonia saves 2% of GDP annually—a model. #Leadership #DigitalTransformation #InnovationInGovernance #GhanaLeadership

🧠 AI in Government: It’s Not Just Tech — It’s a Transformation of People, Purpose & Trust The call is clear: governments must adopt AI — fast — to improve mission outcomes, public services, and operational effectiveness. But success won’t come from technology alone. It comes from leadership, culture, strategy, and trust. From our just released "Reimagining Government: Achieving the Promise of AI", here are the core principles every public-sector leader should internalize: → AI transformation is first a human challenge. Technical tools matter — but culture, skills, and mindset matter more. Invest equally in people as you do in tech. → Think in portfolios, not isolated projects. Strategic, integrated planning helps avoid redundancy, accelerate impact, and align efforts with mission goals. → Balance innovation & accountability. Innovation without risk awareness can harm trust — but risk controls without innovation stifle progress. Successful advocates manage both. → Partnerships are essential. No agency can go it alone — internal collaboration, external vendors, and human-AI teaming are all foundational. → Leadership must evolve. Emerging roles like Chief Innovation & Transformation Officers bridge mission alignment, culture shifts, tech oversight, and operational excellence. → Use maturity models wisely — but don’t let them slow you. Understand your baseline, but accelerate where feasible to lead, not lag. 📌 Bottom Line: AI isn’t about replacing people — it’s about empowering public-servants, enhancing decision-making, and strengthening public trust. The agencies that succeed will be the ones that treat AI as transformation work, not just procurement work.  Read the full article here: https://lnkd.in/eYiBZ4mF. --- "Reimagining Government" is published by Post Hill Press, distributed by Simon & Schuster, and now available for preorder from all book retailers - Amazon, Barnes & Noble, Inc., Hudson Booksellers, and many others. → Find your retailer (print, e-book, or audio-version) here - https://lnkd.in/ehk2WrCn. → For related research papers, articles & coverage (on Fast Company, Harvard Business Review, MIT Sloan Management Review, etc.), and podcasts, visit - https://lnkd.in/emDzGbYA. ➤ ALL PROCEEDS FROM OUR BOOKS ARE PLEDGED TO CANCER RESEARCH.

HR Tech Can’t Fix What Leadership Refuses to Face (How “Project Elevate” turned automation into transformation.) When we launched Project Elevate – our global HR modernization program – the mission was simple → make HR smarter, faster, and more data-driven. We rolled out → → AI-based recruitment to shorten hiring cycles → a pulse survey tool for real-time engagement → a chatbot for daily HR interactions → and an integrated dashboard tracking people metrics end-to-end Everything looked next-gen on paper ↓ but within weeks, the energy started to fade. Usage rates dipped → managers felt overwhelmed with “too many tools.” Employees disengaged → engagement scores barely moved. That’s when it became clear → the issue wasn’t technology – it was readiness. Some leaders embraced data → others resisted what it revealed. Processes were digitized → mindsets weren’t. We had automated HR → but hadn’t humanized it. So midway through the rollout, we hit pause ↓ and shifted the spotlight from systems to people. We called it the Digital Readiness Sprint – a 60-day reset to align leadership, culture, and capability. Here’s what we changed ↓ 1️⃣ Building Leadership Capability → Hands-on Tech-with-Trust workshops using live data for decisions → Managers trained to see dashboards as coaching aids → not control tools → “Feedback Courage” sessions turning analytics into honest dialogue 2️⃣ Embedding Cultural Maturity → Digital adoption reframed as shared ownership → not HR’s job → Teams encouraged to question metrics that miss the human story → Monthly Human Touchpoints linking system data with lived experience 3️⃣ Redesigning System Usage → Simplified overlapping workflows → removed redundant steps → Chatbot integrated with learning nudges → adding value, not noise → Built a Digital Champions Network → one connector per business unit The impact was visible within one quarter ↓ ✔ Engagement participation rose from 45% → 86% ✔ Voluntary attrition dropped by 18% ✔ AI recruitment cut hiring time by 30% ✔ Leaders used analytics to discuss growth → not just performance But the biggest win wasn’t data – it was culture. Teams began trusting HR tech as support → not surveillance. Leaders started viewing data as empowerment → not exposure. My reflection ↓ You can’t digitize what your culture resists. Technology and trust must evolve together. Before your next upgrade, ask yourself → → Do we need more systems ↓ → or stronger leadership maturity to sustain them? Follow Sandeep Malhotra for insights on building organizations where HR technology serves people – not replaces them.

Patients are changing fast. Healthcare must change faster. The old model is dead. Today’s patients are not waiting in line. They are searching, clicking, and asking AI for answers—before they ever see a doctor. One in four UK patients already use generative AI for health advice. Nearly a third would rather ask AI or social media than wait for a clinician. This is not a threat. It is a signal. Digital curiosity is the new front door to care. The best healthcare leaders see this as a chance to build something better. Not more apps. Not more portals. But a true bridge—where technology and empathy work together. Here’s the new playbook for Connected Care: 1/ Welcome the digital first step • Treat every online search, chatbot, or AI query as the start of the care journey. • Build systems that catch these signals and guide patients into real care, not dead ends. 2/ Make AI a bridge, not a barrier • Use AI to handle admin, triage, and routine questions. • Free up clinicians to spend less time on screens, more time in eye contact. • Let AI reduce friction, but never erode trust. 3/ Design for transparency and control • Give patients clear, simple access to their records, appointments, and care plans. • Let them see the whole journey, not just the next step. • Make them feel like part of the team, not just a case number. 4/ Connect the dots, break the silos • Stop building one-off tools that don’t talk to each other. • Create platforms where every digital touchpoint feeds into a single, human-centered care experience. 5/ Build trust at every step • Use technology to inform, not overwhelm. • Keep the human touch at the center, even as AI does more heavy lifting. This is not theory. This is the new roadmap for healthcare. When you treat AI-curiosity as the entry point—and connect it to a seamless, human care journey—you unlock the future. Your patients are already digital. Your care model must be, too. The future belongs to those who connect, not those who compete. Build the bridge. Welcome the search. Lead the change. Here's the link to the report: https://lnkd.in/eUfJ7aab Semble Christoph Lippuner Mikael Landau

Clinicians like me can interact with AI in two fundamentally different ways. In one paradigm, AI generates output for us to review and verify. In the other, we do the work and AI checks it for us. Both models have value. But the key is choosing the right one for the task at hand. That choice depends on several factors, including the clinician's capabilities, their preferences, and the reliability of the AI output. When I’m reviewing records or drafting (straightforward) notes, I often want AI to go first — I’ll check its work. But when I’m making decisions or replying to patient messages, I want to lead — and have AI check me. When those roles are mismatched, AI becomes a burden instead of a help. Here’s a non-clinical example, since (unlike EHRs) I can share the image below: I almost never use Copilot to draft emails. Yet every time I open a message, Copilot auto-suggests a few replies, unnecessarily taking up screen space and interrupting my flow. It’s the wrong paradigm, forced into the wrong moment. Stop showing it to me, please. Conversely, what stood out to me in the recent Penda Health / OpenAI study was how the AI reduced errors by %13-16% withOUT inserting itself into every clinical encounter. Instead of continually intruding onto the EHR screen, it operated more like a background safety net — surfacing only when it mattered. More health tech should be designed with that kind of discernment — and less like Copilot emails, intrusively barging onto our screens and into our minds whether useful or not. It's not just about what AI can do, but whether — and when — it should show up at all.

What if you could make the UK government's digital services the best in the world? Most people would think that's impossible. In 2011, Mike Bracken proved them wrong. The UK government's digital presence was a disaster. Nearly 2,000 separate websites. Departments spending billions on IT contracts that delivered nothing. Services designed around internal bureaucracy, not citizen needs. Whitehall's approach to technology was broken. Multi year IT projects with fixed budgets and false certainty. Massive outsourcing deals that created vendor lock in. When Cabinet Office Minister Francis Maude asked Bracken to fix this mess, the scepticism was universal. Why would a successful Guardian News & Media executive join the civil service? How could one small team change decades of entrenched practice? But Bracken understood something the establishment missed. Digital transformation is about redesigning how government works. He founded the Government Digital Service with a radical model. Small multidisciplinary teams. Ship working products in 6-12 weeks, not five years. Put user needs first, not departmental politics. Bring digital talent into government, not outsource everything. The breakthrough came with GOV UK Instead of maintaining 2,000 separate websites, GDS built one single domain for all government services. It saved taxpayers over £60 million annually whilst making services genuinely usable. The impact went far beyond one website. Under Bracken's leadership, the UK became number one in the UN digital government rankings by 2016. Countries around the world copied the model. The US Digital Service, Australia's Digital Transformation Office, and dozens of others based their approach on what GDS achieved. Bracken's journey proves a powerful lesson. Changing massive institutions isn't about having all the answers upfront. It's about proving your approach works, one service at a time. The biggest barrier isn't technology. It's convincing people with power that there's a better way to serve citizens. What entrenched practice in your organisation needs someone brave enough to prove there's a better way? #DigitalTransformation #PublicSector #GovUK

I get this a lot: “Sol, how do you come up with all these ideas for posts? When do you have time to write?!” Here’s my secret — I don’t make time for ideas, I notice them. They hit me when I walk 🚶🏽♀️ While reading a real, physical book 📕 Watching my teams debate at work ⌨️ Basically… I stay awake. Awake to my environment. Awake to my thoughts. Awake to what most people scroll 📱past. Because if you want to write clearly, you need to think clearly. And if you want to think clearly, you need to do the mental reps of staying focused (the opposite of distraction and multi-tasking). For the last 8 months, I’ve been deliberately training my brain like I train my body: – I memorize key insights from books (I highlight and take notes) – I construct ideas from raw patterns – I synthesize headlines from headlines – I practice translating tech speak into everyday metaphors – I consciously avoid what I call #brainrust (digital whitepapers, lazy swipes, ambient noise, outsourcing my thinking to ChatGPT, GPS, etc) Does it take discipline, YES! Is it hard, YUP! And yes, sometimes my posts have typos. And grammar slip-ups.Because guess what? I write them. Every single one. A stat that’ll wake you up: A recent study found that 91% of knowledge workers now begin their thinking process with AI. That means most of the raw cognitive effort is now outsourced — from idea formation to word choice. 🚀And here’s the kicker: neural pruning is real 🚀When you stop using your brain, your brain starts losing its capacity. (Just like unused muscles.) Recommendations: 1. Build a ritual of analog thinking. Walk, write, draw, read — without a screen. It’ll force you to rewire attention and pattern recognition. 2. Write before you prompt. Form your thoughts first, then use AI to polish — not generate yiur thinking “Don’t let AI be your brain. Let it be your barbell. You still have to lift.” #FutureOfWork #AI #ThoughtLeadership #DigitalDiscipline #MindfulTech #HumanAmplification #CareerAdvice #LeadershipDevelopment #DeepThinking #BrainRust #MentalFitness #WriteToThink #BuildThatMuscle >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Worlds 1st Chief AI Officer for Enterprise, 10 patents, former Amazon & C-Suite Exec (5x), best-selling author, FORBES “AI Maverick & Visionary of the 21st Century” , Top 100 AI Thought Leaders, helped IBM launch Watson