Sandiip Bansal
[email protected]

From Insights to Action: What 200+ CXOs Told Us About AI

Industry leaders speak out — the reality behind the rise of AI in the enterprise.


Introduction

A few weeks ago, I asked a simple but direct question to CXOs across sectors: “What’s your real take on AI inside your organization?” The response was overwhelming. 200+ leaders — from pharma to BFSI, education to manufacturing — took two minutes to share real-world perspectives on how AI is reshaping their work.

This newsletter is a continuation of our earlier post: “What do a #Pharma CEO, an #Edtech Director, and a #BFSI Strategist have in common?” They’re all investing in AI — but with caution and context.

Article content

Key Findings

1. AI Adoption is Widespread, But Not Equal Most CXOs confirmed implementing AI in the past 12–18 months. Common application areas include:

  • Customer support automation
  • Internal workflow enhancements
  • Sales & lead generation
  • Cybersecurity & risk management
  • Data analytics acceleration

Yet, impact varies. Some leaders report tangible ROI; others are still fine-tuning their strategies.

Article content

2. Top Barriers: It’s Not the Tech — It’s the Ecosystem Three issues rose to the top:

  • Legacy integration challenges
  • Unclear or inconsistent ROI measurement
  • Concerns around data privacy and compliance

As one respondent said: “It’s not that AI doesn’t work. It’s that our systems and teams aren’t ready to work with it.”

Article content

3. The AI Misconception: Instant Results Leaders noted a persistent myth — that AI delivers quick, automatic value. In truth:

  • It’s misunderstood as a silver bullet or a job eliminator.
  • It requires context, planning, and alignment to business goals.
  • It’s a tool — powerful, but not autonomous.

4. What Sets the Leaders Apart? Those seeing the most value from AI share a mindset:

  • Clarity in success metrics
  • Human-centric implementation
  • Strategic alignment with business priorities

As one CXO framed it: “It’s not how much AI you use. It’s how well it integrates with your thinking.”


CXO Voices: Real Leaders, Real Perspectives

These leaders kindly allowed their names to be quoted:

Their insights echo a shared sentiment: AI must be adopted with strategy, responsibility, and realism.


📌 Takeaways for Leadership Teams

  • Don’t rush AI. Plan with clear ROI goals.
  • Invest in system readiness and people readiness.
  • Keep AI human-aligned. It’s a multiplier, not a replacement.

Interested in the full Executive Brief? We’ll be publishing it soon. If you’re navigating similar challenges or want to contribute your voice, let’s connect.

Your ERP won’t fail because of the software.

Your ERP won’t fail because of the software.

It will fail because you picked the wrong partner to implement it.

In the age of digital transformation, technology is no longer just a back-office function—it’s the backbone of business strategy. Whether you’re implementing an ERP, revamping your CRM, or launching a full-scale HCM upgrade, success hinges on one critical decision: choosing the right tech vendor.

Yet, this is where many organizations falter.

Time and again, I’ve seen most companies rush through vendor selection, swayed by flashy demos, big-brand logos, or the lowest quote. Months later, they’re stuck with a project that’s off-track, over budget, and under-delivering. The common denominator? They didn’t ask the right questions before signing the contract.

Article content
Photo Credit: Zumen.coom

So, how do you avoid becoming another cautionary tale?

Start with this list of 10 must-ask questions that will give you deeper insight into your prospective partner’s capability, culture, and credibility.


  1. Can you provide examples of similar projects you’ve successfully delivered in our industry? A vendor with real-world experience in your domain won’t just understand your business—they’ll anticipate challenges and propose smarter solutions. Ask for case studies, Previous Letter of Intent without valuation and reference contacts. Specifics matter.
  2. What is your historical success rate with projects of similar size and scope? Past performance is the best predictor of delivery discipline. Look for data: on-time delivery, budget adherence, business impact.
  3. How do you manage SLAs, and what do your real-world SLA metrics look like? Anyone can promise service levels. Few can prove consistency. Request real SLA performance reports from current or past clients.
  4. What are your average response and resolution times during critical incidents? Uptime is non-negotiable. Delays during outages cost revenue—and trust. Ask them to walk you through a real incident response timeline.
  5. What’s your financial position? How do you ensure continuity during market volatility? You’re not just buying a service. You’re entering a long-term relationship. You need a stable partner. Review financials. Ask about contingency planning.
  6. How involved is your executive leadership when critical projects hit roadblocks? You want more than a vendor. You want accountability at the top. Ask to meet the leadership team during due diligence.
  7. Can we speak directly to 2–3 clients from similar industries? Reference checks are your best safety net. Prepare your own reference call questions. Don’t rely only on scripted success stories.
  8. What’s your roadmap over the next 1–3 years, and how will it evolve with our business? A capable vendor doesn’t just solve for today—they scale with you. Look for direction in AI, integration, automation, and vertical-specific innovations.
  9. How do you manage data privacy, compliance, and cybersecurity? This is no longer a checkbox—it’s a board-level concern. Look for ISO certifications, clear governance frameworks, and strong security leadership.
  10. How do you define “partnership”? Are you a vendor, an advisor, or a collaborator? Cultural alignment matters more than you think. Are they delivering a project—or co-owning an outcome? The best vendors sound like internal stakeholders.

Final Word

A tech vendor can either be your biggest asset or your most expensive lesson.

Choose one that understands your business, not just your brief.

Someone who shows up when things go wrong.

Who solves alongside you—not just bills you.

Because the questions you ask today will determine the outcomes you see a year from now.

Article content
Photo by fauxels, Pexels.com

📥 Want a downloadable checklist version of these 10 questions for your next vendor evaluation? Just say the word—I’ve got you covered.

The Real Reason Your Company’s Still ‘Going Digital’ in 2025…

Let me say it as simply as I can:

Transformation is not your problem. Velocity is.

Every leader I talk to says the same thing:

“We have a digital roadmap. But execution? It’s slow. It drags. We lose momentum.”

And in today’s world, momentum is everything.

I’ve worked with companies where transformation moved like clockwork—and others where it crawled despite best intentions. Here’s what separates the two:

1. Leadership that’s in the room, not just on the slide.

You can spot the difference in week 1.

In successful transformations, CXOs don’t just endorse the project—they own it.

They unblock things. They challenge assumptions.

They make sure transformation isn’t a side hustle—it’s the main act.

✅ What to try: Tie transformation KPIs directly to leadership scorecards. You’ll see change overnight.

From what I’ve seen lately, transformation really needs to come from the top. Leaders can’t just sign off on things and disappear—they need to stay involved from start to finish.

Think about it like renovating a house. The homeowner can’t just approve the blueprints and then show up when it’s done—they need to check in regularly, make decisions about unexpected issues, and keep the project on track.

Setting a vision isn’t enough to make transformation or disruption successful. It’s like a coach who gives a great pregame speech but then sits back and doesn’t call any plays during the game. Leaders actually need to keep checking in and staying on top of progress.

I saw this firsthand at a tech company where the CIO would join weekly standup meetings for their digital transformation project. He asked tough questions, helped remove roadblocks, and kept everyone accountable. That project succeeded while similar initiatives at other companies fell apart when executives disappeared after the kickoff.

Bottom line: if leaders want transformation to work, they need to roll up their sleeves and stay in the game.

2. Start small. Deliver fast. Prove value.

One company I worked with launched a new CX platform.

But instead of rolling it out to 500 branches at once, they did it for 8.

In 6 weeks, they had customer feedback, adoption data, and real ROI.

Momentum > perfection.

I’ve been in the trenches with big companies trying to transform digitally, and here’s what I’ve noticed: after the initial excitement of launching those first 3-4 verticals, things often stall out. The whole organization never gets transformed.

Why? It usually boils down to weak architecture, flimsy design, and inconsistent delivery.

The thing is, every single step in your digital transformation journey matters. Those “quick wins” and shortcuts might look tempting, but they’re usually a mirage. Real transformation takes thoughtful planning and execution at each stage.

3. Don’t digitize garbage. Rethink it.

Sometimes, teams spend 6 months automating a broken process.

That’s not transformation. That’s decoration.

✅ Before building anything—ask: Does this deserve to be digitized? Or redesigned?

Imagine you’re looking at your own home and thinking, “I want to change this up a bit.” Here’s the thing – sometimes when you’re considering small tweaks to your current design, it actually makes more sense to start fresh with a complete redesign.

Think about it – all those little alterations and repairs can really add up, both in time and money. You end up spending way more than you planned, dealing with endless complications, and the frustrating part? The end result rarely comes close to what you originally pictured in your mind.

It’s like when I was thinking about updating my kitchen. What started as “let’s just replace the countertops” quickly snowballed into discovering old plumbing issues, uneven flooring, and outdated electrical work. By the time I was halfway through, I realized a complete remodel would have been less headache and probably similar in cost!

Sometimes it’s just better to wipe the slate clean and build exactly what you want from the ground up. That way, you get something that actually matches your vision instead of a compromised version that still feels off.

4. Replace steering committees with squad syncs.

In traditional orgs, decisions take weeks.

In high-velocity orgs, the same decision takes 30 minutes on Slack.

The difference? Trust, empowerment, and clear roles.

✅ Give small teams a budget, a goal, and decision power. Then watch what happens.

So check this out – IDC Foundry Events India did this study that found it typically takes about 7 months to get from the initial concept to actually starting a project. And honestly, that matches exactly with my own experience trying to get projects approved within my program timelines.

The frustrating part? The committee wouldn’t budge on delivery deadlines, even knowing how long approvals take. It’s wild – some of the simplest projects never got the green light, even after the Board had already approved them!

Steering Committees can be helpful, but only when they don’t get caught up in all that bureaucratic red tape. Otherwise, your goals just stay dreams while you keep spinning your wheels trying to make progress.

5. Change management is not a slide deck

I’ve seen beautiful tech deployments flop because nobody told the frontline what’s changing and why.

Even the best tools fail without buy-in.

✅ Start communicating on day 1, not day 180. Change is emotional, not just operational.

When you’re steering big transformation projects, it’s not just about tech upgrades—it’s also about shifting culture and reworking processes. You’ve got to tackle these changes with a positive attitude.

In most companies, the IT folks aren’t just working with functional teams to design and build solutions—they’re also taking on change management. This needs to be handled strategically, making sure everyone feels included in the journey.

Based on my experience, to achieve 99% adoption and 95% project success with large transformations, you need to:

  • Start with early stakeholder involvement—get key players on board from day one, not just as approvers but as active participants in the design process.
  • Create a network of champions across departments who understand the benefits and can explain them in ways that make sense to their teams.
  • Focus on the “what’s in it for me” factor for each user group. People adopt change when they clearly see how it makes their work better or easier.
  • Use a phased approach with quick wins to build momentum and trust. Nothing convinces skeptics like seeing real success.
  • Provide multiple training options—some people learn best hands-on, others prefer documentation, and some need one-on-one coaching.
  • Set up robust feedback channels and actually use the input to make improvements. When people see their suggestions implemented, they become invested in the success.
  • Celebrate milestones publicly and recognize contributors at all levels. This reinforces that the transformation is a shared achievement, not something being done to people.
  • Plan for post-launch support that doesn’t disappear after go-live. The first few months are critical for cementing new habits.

6. Stop hiring. Start growing.

You won’t find all your future-ready talent on LinkedIn.

You’ll need to build it—internally.

Upskill. Rotate roles. Let people shadow tech teams.

✅ Create a “Talent Sprint” program—3 months of building future-ready skillsets internally.

Let’s be real – you never get everything you want in a perfect package. That’s something I’ve learned to work with over time. When I’m interviewing people, I focus on what really matters: do they understand the subject, get the core concepts, can they take coaching, and will they work well with others? Everything else? We can figure that out as we go.

In every role I’ve had, I make it a point to push my team to keep building their skills. And when they put in that effort? I make sure they get recognized for it and have chances to move up and grow.

These are just a few of the real strategies that work when theory doesn’t.

I’ll be sharing more of these—from boardroom wins to backroom fixes—in my upcoming email newsletter.

It’s built for people like you who don’t want jargon, but just stuff that works.

….One question for you before you go:

What’s slowing transformation in your organization? Culture? Tech? People? Politics?

Drop a comment—or hit reply. I’m reading.

Universities Are Turning to AI—But Is It Really Fixing the Problem?

Over 40 million students enroll in Indian universities every year. Yet, admission processes in most institutions remain outdated—manual paperwork, long wait times, and inconsistent selection criteria.

So, universities turned to AI for help.

The promise? Faster, fairer, and data-driven admissions.

The reality? Not always.

How AI Is Reshaping University Admissions

Many top universities have integrated AI-powered systems for application screening, fraud detection, and student profiling.

Faster Decisions: AI reduces processing time from weeks to just a few days.

Personalized Admissions: Machine learning models assess student strengths beyond just marks.

Fraud Detection: AI can spot duplicate applications and false documents.

Bias-Free Selection: In theory, AI eliminates human bias from admissions.

Sounds like a win, right? Not entirely.

But The Catch is – AI Isn’t Perfect!

Most universities treat AI like a silver bullet, expecting automation to replace strategy rather than enhance it. But here’s what they don’t realize:

Bad Data = Bad Decisions: If past admissions data carries biases, AI will only reinforce them.

Over-Reliance on Algorithms: AI may prioritize numbers over holistic student potential.

Lack of Transparency: Students don’t always know how AI decides who gets in.

Limited Faculty Adoption: AI systems fail when universities don’t train staff to use them.

In 2023, a top-tier global university had to roll back AI-powered admissions because the system disproportionately rejected candidates from certain demographics.

The Right Approach to AI in Admissions

If universities want real transformation, AI should complement human decision-making—not replace it.

AI + Human Judgment: Let AI process applications, but admissions officers make final calls.

Bias Audits: Universities should regularly test AI models to prevent discriminatory patterns.

Transparency in Admissions: Institutions must explain how AI scores applicants. Training Faculty on AI Use: Staff should be equipped to interpret AI recommendations.

What’s Next? AI can revolutionize university admissions—but only when applied with the right strategy. Are universities truly ready for this shift, or is AI just another trend?

Would love to hear your thoughts—should AI decide who gets into universities?

Sources & Further Reading:

Cricket Pitch to Boardroom

Cricket Pitch to Boardroom

5 Transformation Project Lessons from Today’s Champions Trophy Final

In today’s thrilling Champions Trophy showdown between India and New Zealand, we witnessed more than just cricket excellence—we saw a masterclass in leadership, adaptability, and strategic execution that directly parallels successful transformation projects in business.

1. Planning for Curveballs: The PowerPlay Pivot

When New Zealand’s pacers unexpectedly found early swing, Rohit Sharma didn’t panic. Instead of abandoning the strategy, he adapted it—shifting from aggressive dominance to calculated risk management.

Takeaway: Successful transformation leaders don’t abandon the roadmap at the first sign of trouble. They adjust their approach while keeping the end goal in view. Have contingency plans ready for your most likely obstacles.

2. The Mid-Innings Reassessment: Data-Driven Decision Making

Both captains demonstrated exceptional reading of match conditions mid-way through, reassessing their strategies based on pitch behavior, bowler performance metrics, and opposition weaknesses.

Takeaway: Schedule regular strategic reassessments during your transformation journey. Use real-time data to inform decisions rather than sticking rigidly to initial plans that may no longer fit evolving circumstances.

3. Resource Allocation Excellence: The Bowling Rotation Masterclass

Notice how both skippers utilized their bowling resources—saving key bowlers for crucial moments and creating matchup advantages against specific batsmen. This wasn’t random; it was calculated resource optimization.

Takeaway: Your transformation team members have unique strengths. Map their capabilities against project phases and allocate your human capital strategically for maximum impact at critical junctures.

4. Managing Pressure Moments: The Death Overs Strategy

The final five overs of each innings showcased exceptional pressure management. When momentum shifted dramatically, we saw true leadership in action—calm decision-making amidst chaos.

Takeaway: Prepare your team for high-pressure milestones by simulating challenges in advance. Document response protocols for common crisis scenarios, and practice maintaining clarity when stakes are highest.

5. The Power of Team Cohesion: Beyond Individual Brilliance

While individual performances shone, what ultimately decided the match was how well each unit functioned collectively—batsmen rotating strike, fielders backing up throws, bowlers executing plans.

Takeaway: Technical excellence alone doesn’t deliver transformation success. Build deliberate connection points between workstreams and create shared accountability metrics that incentivize cross-functional collaboration.

The Captain’s Leadership Lesson

The most compelling parallel was watching how both captains maintained composure during adversity. When wickets fell in clusters or bowlers were under attack, their body language remained confident, communicating belief to their teams.

Takeaway: Your emotional state as a transformation leader is contagious. During setbacks, your team will take cues from your response. Demonstrate confident optimism balanced with transparent acknowledgment of challenges.


The Champions Trophy final wasn't just cricket entertainment—it was a case study in navigating complexity, managing resources, and maintaining strategic focus while adapting to changing conditions. The next time your transformation initiative faces a challenging over, remember: the best captains have already visualized how they'll respond when the pressure mounts.

What leadership moments from today’s match resonated with your own project management experiences?