Change Management Case Studies

Emerging Departments: How AI is Transforming Organizations Transformation in light of AI isn't just about digital change—it's strategic, cultural, and organizational. Early results of organizational optimization with AI reveal that traditional structures are evolving into new, combined departments that break down silos and enhance collaboration. Here are some emerging trends: 1. Human Experience Department (Led by the CXO) Combines marketing, HR, and customer service to create a unified experience approach. Focuses on customer and employee experience as a seamless continuum. Example: Airbnb and Starbucks blending internal and external engagement for holistic experience design. 2. The Intelligence Function (Led by Chief Data & Intelligence Officer (CDIO)) Merges IT, data analytics, and AI strategy into a unified intelligence function. Enhances decision-making with data-driven insights and technology integration. Example: Microsoft and Amazon use intelligence functions to support strategy and innovation. 3. Integrated Growth Department (Led by the CGO) Combines Marketing, Sales, and Customer Success to create cohesive client journeys. Prioritizes growth by aligning customer interactions across all touchpoints. Example: HubSpot and Salesforce driving client experience continuity. 4. Strategic Innovation & Transformation Office (Led by Chief Strategy Officer or Chief Transformation Officer) Combines strategy, innovation, and transformation initiatives for continuous evolution. Fosters agility by integrating foresight and innovation into long-term strategy. Example: Tesla blending innovation with strategic growth planning. 5. Technology and Digital Transformation Department (Led by the Chief Technology & Transformation Officer) Integrates IT, digital transformation, and cybersecurity under one strategic role. Embeds technology into workflows while ensuring security and compliance. Example: Cisco and IBM streamlining their digital transformation efforts. 6. Resilience and Continuity Department (Led by the Chief Risk Officer) Oversees Risk Management, Business Continuity, and Strategic Foresight. Ensures organizational resilience in an increasingly FLUX world. Example: JP Morgan building resilience to mitigate risks and ensure continuity. 7. Ethics and Responsible AI Office (Led by the CEAO) Ensures ethical AI use and compliance with regulatory standards. Maintains trust and integrity as AI becomes central to business strategy. Example: Microsoft and IBM proactively building ethics frameworks for responsible AI. In sum, AI is driving fundamental shifts in how we structure our organizations. To thrive, leaders must think beyond digital transformation and focus on strategic, cultural, and organizational evolution. The companies that succeed will be those that break down silos, integrate their functions, and embrace transformation as a continuous journey.

A 95-person company spent $840,000 on health insurance last year. Their employees used $520,000 in actual care. The carrier kept the $320,000 difference and raised their rates anyway. That's the fully-insured playbook in one sentence. This wasn't a bad year for claims. No catastrophic illnesses. No massive ER bills. Just routine care—physicals, prescriptions, a few urgent care visits, one planned surgery. At renewal, the broker sent the numbers: "7.6% increase for next year. Given the market, this is competitive." The CEO asked the obvious question: "We had a good year. Claims were low. Why are we paying more?" The broker's answer: "Carriers look at trend data across their entire book of business, not just your specific claims. Everyone's going up." Translation: "Your good year doesn't matter. You're subsidizing everyone else's bad years. And we're still raising your rates." The CEO pushed back: "Can we see our actual claims data? What drove that $520,000?" "That information belongs to the carrier. We can request a summary, but detailed data isn't typically shared in fully-insured arrangements." There it was. They were paying $840,000 annually and couldn't even see what they were buying. They switched to a level-funded plan. Here's what changed: Fixed monthly costs: $712,000. Expected claims based on their history: $550,000. Stop-loss protection if claims exceeded $750,000. Month 6, they requested their claims data. Got a 47-page report showing everything: diagnosis codes, facility costs, pharmacy utilization, ER vs. urgent care patterns. Turned out 8 employees accounted for 52% of their pharmacy spend. All on brand-name medications that had generic equivalents available. Nobody had mentioned it to them. They implemented a high-touch pharmacist consultation program. Five of the eight switched to generics with their doctor's approval. One switched to a biosimilar. Two stayed on brand-names for clinical reasons. Pharmacy spend dropped $47,000 annually. Return on the pharmacist program: 8:1. They also discovered 67% of their "emergency" room visits were for non-emergencies—things like flu symptoms, minor cuts, urinary tract infections. Added a $0 copay telemedicine benefit with same-day access. Next quarter, ER visits dropped 34%. Year-end actual claims: $487,000. Their level-funded plan refunded them the difference: $63,000. Effective annual cost: $649,000 vs. the $904,000 the fully-insured renewal would have been. They saved $255,000. Not by cutting benefits. By finally seeing where the money was going and making informed decisions. The fully-insured model keeps employers blind by design. You pay, they decide, you never know why. Level-funded isn't perfect for everyone. But if you're spending $500K+ annually on something and can't see the receipt, that's not insurance. That's faith. Your team deserves transparency. Your budget deserves accountability. Both exist when someone's willing to show you the numbers.

It is the most random insights that click and help companies unlock better customer experience. This is something I have learned time and again while working with Policybazaar. So, interesting story - We noticed that the group health insurance claims were going very high for our customers. At first glance, this seemed normal. People get sick, accidents happen, right? But when we dug deeper, we found a pattern: a lot of these claims were coming in because people had no idea something was wrong until it was too late. I don’t know why, but for some reason getting routine medical checkups is not common in our country. A lot of us don’t know what is going on in our bodies. We might feel fine, but health issues like high cholesterol, blocked arteries, or a weakening heart don’t always come with a warning sign. By the time something serious happens—boom—an insurance claim. So, we thought, why not catch these issues before they turn into emergencies? That’s exactly what we do now, making it easier for companies to care for their people. Whether employees are working from home or in the office, we help them understand their health through annual checkups right at their workplace. We’ve partnered with health providers to run these checkups, and our team brings the doctors and support staff, ensuring employees get their results quickly and can take action if needed. Let’s look at an example to understand how this helps: Someone finds out during a regular checkup that their cholesterol is high, or maybe an ECG hints at a potential heart issue. With that knowledge, they can take simple steps. Maybe lifestyle changes, or medication - before things escalate into a situation where they’re in a hospital bed facing something as frightening as a heart attack. Prevention is, after all, far better than cure. It’s not just about reducing claims. It’s about showing care and making sure people don’t have to wait for a crisis to know what’s going on with their health. Because when we understand our health better, we can live better. And that’s the kind of impact we want to have. #grouphealthinsurance #preventivehealthcare #employeebenefits #PolicybazaarforBusiness

We always talk about the failures or successes of big brands, but what about the grey areas—where they learn, adjust, and grow? Take BookMyShow, for example. During Coldplay’s ticket sale for their Mumbai shows, they faced massive backlash. Managing that kind of demand for the first time can quickly turn into chaos. You can plan all you want, but until it happens, you can’t fully predict the scale of the impact. Fast forward to the Ahmedabad ticket sale, and we saw something different. BookMyShow made history, not just by hosting Coldplay’s biggest-ever concert but by making significant improvements in how tickets were sold: 1. They introduced an automated queue randomisation system. Fans entered a virtual waiting room and were assigned random queue positions when tickets went live. It wasn’t about “fastest fingers first” anymore—everyone had an equal chance. 2. They tackled scalpers and bots by capping ticket purchases at four per user and implementing anti-bot measures. This ensured more tickets ended up in the hands of real fans instead of resellers. 3. Coldplay’s Ahmedabad concerts became their largest-ever show, with 100,000 fans each night at the Narendra Modi Stadium. Despite overwhelming demand, this new approach created a smoother and fairer ticket-buying experience. This journey wasn’t perfect, but it’s a clear example of how brands navigate the grey—learning from failure and turning it into meaningful change. #brands #learnings #story #marketing

A recent mistake and what it taught me Last week, I pushed a config change to production and forgot to check for one specific flag. It broke a workflow for 50+ people. I was mortified. My first instinct was panic: “How did I miss this?” But here’s what actually happened: 🔹 My team stepped in (no blame, just focus) 🔹 We rolled back and fixed it fast 🔹 I created a checklist to make sure I’d never skip that validation again Here’s what it taught me: • Everyone makes mistakes, it’s how you respond that builds trust • Strong teams care more about resolution than blame • You only truly learn something when you mess it up once Failure doesn’t define you. How do you handle the process of recovery? That’s where you show who you are.

Most insurance transformations start with the wrong question. The first conversation is often: “Which platform should we buy?” That is arguably one of the last decisions you should make. The programmes that succeed don’t necessarily buy better technology. They just get the order right. Here’s a practical framework: 1. Business Strategy Know what you’re trying to become. 2. Customer Outcomes Design around journeys, not departments or silos. 3. Operating Model Agree how work should flow across underwriting, claims, operations and partners. 4. Execution Model Empower product teams to own outcomes. 5. Technology Enable the strategy. Don’t define it. Too many programmes start at the bottom and work upwards. The strongest ones start at the top. Technology should be the last major decision in an insurance transformation, not the first. Never seen a transformation rescued by choosing a different platform after getting those first four decisions wrong.

My client Dan is the CFO of a data research company in Dubai with just over 100 employees. Two years ago, he proudly told his CEO he’d found “the best” medical insurance on the market — full global coverage, maternity, dental, optical, even wellness benefits no one had asked for. It looked incredible on paper. But it was also costing them 3.6 million dirhams a year. The truth? Only 8% of the team ever left the UAE for treatment. Most were young analysts under 35 who visited a GP once or twice a year. Daniel thought he was being generous. In reality, he was burning over a million dirhams annually on benefits his staff didn’t need. When I sat down with him and showed the data — actual claim patterns, utilisation rates, and demographic breakdowns — he went quiet. He wasn’t angry at the insurer. He was angry at himself for not knowing better. We redesigned the plan, trimmed the waste, improved employee satisfaction, and saved the company 1.2 million dirhams in one renewal cycle. Here’s the thing: overspending on insurance doesn’t make you caring. It makes you careless with your company’s money. When was the last time you looked at your medical insurance data and asked if it actually matches how your people live and work?

𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐰𝐚𝐧𝐭𝐬 𝐀𝐈. 𝐕𝐞𝐫𝐲 𝐟𝐞𝐰 𝐢𝐧𝐬𝐮𝐫𝐞𝐫𝐬 𝐚𝐫𝐞 𝐩𝐫𝐞𝐩𝐚𝐫𝐞𝐝 𝐟𝐨𝐫 𝐰𝐡𝐚𝐭 𝐀𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐞𝐱𝐩𝐨𝐬𝐞𝐬. I see this pattern everywhere right now. Insurance leaders rush to deploy AI models for underwriting, claims, or pricing. The models perform well in testing. Everyone celebrates the innovation. Then reality hits. AI doesn't hide data problems. It amplifies them. That clean dataset you thought was ready? AI finds the gaps instantly. Those manual overrides your team made for years? AI reveals the inconsistencies. That tribal knowledge sitting in someone's head? AI exposes how much you've been depending on it. Here's what most insurers miss: AI implementation isn't a technology project. It's an organisational mirror. When AI starts making recommendations, it forces uncomfortable questions: • Why do we have three different definitions for the same risk factor? • Why does our data quality drop after the first renewal? • Why can't we explain this pricing exception from 2019? • Why do different teams use completely different assumptions? These questions existed before AI. We just didn't have to answer them. The insurers winning with AI in 2026 aren't the ones with the fanciest models. They're the ones willing to fix what AI reveals. They treat AI deployment as a forcing function for organisational clarity. Before launching the next AI initiative, ask yourself: • Are we ready to face what our data actually looks like? • Can we handle the transparency AI will create? • Do we have the discipline to fix foundational issues before scaling? AI won't transform your business if your business isn't ready to transform itself first. What's the hardest truth AI has revealed in your organisation? #AIinInsurance #InsuranceLeadership #InsurTech #DigitalTransformation #DataStrategy

A PM at an insurtech shipped their document workflow in 6 weeks. 𝗠𝗼𝗻𝘁𝗵 𝟭 𝗮𝗳𝘁𝗲𝗿 𝗹𝗮𝘂𝗻𝗰𝗵: PDFs land in the right inboxes. Signatures come back same-day. The PM marks the project done and moves on to the next feature. 𝗠𝗼𝗻𝘁𝗵 𝟯: A customer's name shows up in the wrong field on a policy document. A dev spends two days tracing it. One line of code. Fixed. 𝗠𝗼𝗻𝘁𝗵 𝟱: Sales closes a mid-market account. 200 users hit the signing flow the same afternoon. Pages won't load. Nobody planned for that kind of volume. Another fix. 𝗠𝗼𝗻𝘁𝗵 𝟳: Compliance asks who signed what, when, and from where. None of it was logged. Two weeks to bolt on tracking after the fact. 𝗠𝗼𝗻𝘁𝗵 𝟵: A state regulator changes one form field. One. But it's hardcoded across 14 templates. A dev updates each one by hand. 𝗠𝗼𝗻𝘁𝗵 𝟭𝟭: An enterprise prospect asks if document access can be restricted by role. The answer is no. It goes on the backlog. 𝗠𝗼𝗻𝘁𝗵 𝟭𝟰: The same prospect's security team asks whether the signing system has been independently audited. It hasn't. The prospect pulls out. The sales rep posts the update in the team channel. Nobody responds. The PM reopens the project they closed in Month 1. I've watched this exact sequence play out at three different companies. If I were that PM, I would have never have built it in-house. Anvil exists so Month 1 doesn't become Month 14. Document workflows, e-signatures, audit trails, permissions — all handled through their API before your team has to learn this the hard way. #AnvilPartner

I’ve learned that transformation isn’t driven by frameworks alone. You can redesign structures and implement new tools, but without intentional taking care about culture, people and organizational development, progress stalls. When people understand the “why,” build the right capabilities, and feel supported, engaged and empowered- transformation becomes sustainable — and meaningful. If you want transformation to last? • Develop talents and leaders, not just plans • Build capabilities and skills, not just processes • Shape culture, not just org charts Organizational transformation starts — and succeeds — with people.