The AI-First Fallacy: Why Solution-Seeking Without Problem Definition Fails

The allure of artificial intelligence has created a dangerous inversion in business thinking: organizations rushing to deploy AI tools before defining the problems they're trying to solve.

This approach—what I call "solution-seeking"—represents a fundamental strategic misstep that wastes resources, frustrates teams, and ultimately delivers disappointing results. The issue isn't AI capability; it's the human tendency to chase technological solutions without first establishing clear problem parameters and realistic expectations.

The Problem-First Principle

Strategic implementation begins with a simple question: What specific problem are we solving, and why does it matter? Yet across industries, I've witnessed countless initiatives that start with "Let's use AI for..." rather than "Our challenge is..." This reversal creates a cascade of inefficiencies.

Consider the typical scenario: A marketing team decides to use AI for content creation because it's trendy and accessible. They generate dozens of blog posts, social media updates, and email campaigns. Six months later, they're puzzled by declining engagement metrics and diminishing brand differentiation. The AI delivered exactly what was requested—generic, optimized content—but nobody defined success beyond output volume.

Where AI-First Thinking Fails

1.       Design-Led Document Creation

PowerPoint decks and strategic documents require nuanced design thinking that extends far beyond layout templates and fanciful visuals. AI can generate slides, suggest structures and even put in a few images here and there but it cannot capture the subtle visual hierarchies, brand voice consistency, or audience-specific messaging that transforms a presentation from adequate to compelling.

The hybrid approach works: Use AI for initial content scaffolding and research synthesis, then apply human expertise for design refinement, narrative flow, and stakeholder-specific customization. The technology handles the heavy lifting; humans provide the strategic finishing.

2.       Strategy Framework Development

AI excels at pattern recognition and can compile existing strategic models, but genuine strategic thinking requires contextual understanding, market intuition, and organizational culture awareness that no algorithm possesses. Attempting to outsource strategic framework development to AI typically produces generic methodologies that lack competitive differentiation.

Strategic leaders use AI for competitive analysis, trend identification, and framework research, then apply human judgment to synthesize insights into proprietary approaches that reflect organizational strengths and market positioning.

3.       SEO Content Strategy

The temptation to use AI for rapid content generation has created an internet flooded with optimized but valueless articles. Search engines are increasingly sophisticated at identifying AI-generated content that lacks genuine expertise and user value.

Effective SEO strategies use AI for keyword research, competitor analysis, and content optimization suggestions, while human strategists define content pillars, establish thought leadership positioning, and ensure authentic brand voice consistency.

4.       AI Tool Mastery Through Prompting

Perhaps the most ironic failure occurs when people ask AI how to use AI effectively. This creates a recursive loop of mediocrity—AI providing generic prompting advice that produces predictably average results.

Mastery requires experimentation, domain expertise, and iterative refinement based on specific use cases. The most effective AI practitioners develop prompting strategies through systematic testing, industry knowledge application, and continuous result evaluation.

The Collaboration Imperative

Superior outcomes emerge from human-AI collaboration that maximizes each party's strengths:

AI excels at:

• Pattern recognition across large datasets

• Rapid information synthesis

• Iterative content generation

• Optimization suggestions

• Research compilation

Humans (most!?) excel at:

• Strategic context interpretation

• Creative problem-solving

• Stakeholder empathy

• Quality judgment

• Ethical decision-making

A Framework for Strategic AI Implementation

1. Problem Definition

Start with clear problem articulation: What challenge exists? What would success look like? How will you measure progress?

2. Capability Assessment

Honestly evaluate AI's strengths and limitations for your specific context. Not every problem requires an AI solution.

3. Hybrid Design

Create workflows that combine AI efficiency with human expertise. Define clear handoff points and quality checkpoints.

4. Iterative Refinement

Implement systematically, measure results, and adjust approaches based on actual performance rather than theoretical capabilities.

The Strategic Reality

AI represents a powerful capability multiplier, not a strategic replacement for human judgment. Organizations that treat it as such—those that define problems clearly, set realistic expectations, and design collaborative workflows—will extract genuine competitive advantage.

Those that chase AI implementation for its own sake will find themselves with sophisticated tools solving problems they never properly defined, generating outputs that nobody particularly values.

The technology isn't failing. The implementation strategy is.

The most successful AI implementations start not with the question "How can we use AI?" but with "What problems are we trying to solve, and how might AI help us solve them better?"

That distinction separates strategic technology adoption from expensive technological theatre in a senseless bid to appear as “an AI expert or AI advocate”.

Mad About Marketing Consulting

Advisor for C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes. We have our own AI Adoption Readiness Framework to support companies in ethical, responsible and sustainable AI adoption. Catch our weekly episodes of The Digital Maturity Blueprint Podcast by subscribing to our YouTube Channel.

Workplace Culture Evolution: Toxic Work Cultures, Gaslighting and More

In today's hyper-competitive business landscape, workplace culture has emerged as the critical differentiator between organizations that thrive and those that merely survive. Let's dissect the key elements of cultural transformation and why it matters more than ever.

The Toxic Workplace Reality Check

Toxic workplace culture extends far beyond occasional office politics. It manifests through systemic dysfunction, where gaslighting and manipulation become normalized operating procedures. Think less "difficult boss" and more "calculated erosion of professional confidence." When managers consistently deny doing what is right then criticize team members for non-compliance, we're not witnessing simple miscommunication – we're seeing tactical psychological manipulation at work.

The Junior Employee Vulnerability Factor

Here's an uncomfortable truth: junior employees bear the brunt of toxic cultures, creating a problematic talent development pipeline. Why? They're navigating a perfect storm of vulnerabilities:

- Limited workplace navigation experience
- Strong validation needs
- Minimal support networks
- Heightened susceptibility to power dynamics

This combination creates a breeding ground for burnout and career stagnation – exactly what forward-thinking organizations must prevent.

The Leadership Imperative: Why Cultural Change Starts at the Top

Remember the garden analogy: organizational culture grows what leadership plants and tends. When toxic behaviors (weeds) go unchecked, they flourish. C-suite leaders aren't just cultural influencers – they're cultural architects. Their actions, not their words, set the template for organizational behavior.

Practical Steps for Leadership Evolution

For C-suite leaders and managers committed to cultural transformation:

1. Model Transparent Communication

- Share decision rationales openly
- Demonstrate accountability
- Create clear feedback channels

2. Implement Structural Safeguards

- Establish robust anti-harassment policies
- Create anonymous reporting systems
- Provide comprehensive mental health support

 3. Develop Leadership Capabilities

- Invest in emotional intelligence
- Build conflict resolution expertise
- Foster inclusive decision-making

The Customer-People Connection: A Strategic Necessity

Here's the business case that gets the CEO’s attention: customer experience will never exceed employee experience. I first learnt of this concept during my time in OCBC when I was part of the pioneer customer experience team. It has inspired my work ever since. The math is straightforward:

- Engaged employees = Delighted customers
- Toxic culture = Compromised customer service
- Healthy culture = Sustainable competitive advantage

Think about it: How can we expect employees operating in toxic environments to deliver exceptional customer experiences? They can't – and that's the bottom-line impact of cultural negligence.

Building Integrated Experience Systems

Modern organizations need frameworks that align employee and customer experiences:

1. Cultural Assessment Metrics

- Track employee experience indicators
- Map customer journey touchpoints
- Measure psychological safety
- Monitor engagement patterns

2. Communication Architecture

- Define clear information flows
- Set response expectations
- Create constructive feedback loops
- Enable cross-functional collaboration

3. Diverse Perspective Integration

- Establish mentorship programs
- Create inclusive dialogue forums with actionable and measurable steps
- Enable cross-cultural learning
- Foster innovation through diversity

The ROI of Cultural Excellence

The investment case is compelling:

- Reduced turnover costs
- Enhanced productivity
- Improved innovation through psychological safety
- Stronger employer brand- Higher customer satisfaction
- Sustainable competitive advantage

Moving Forward: The Integration Imperative

In today's experience economy, treating employee and customer experience as separate domains is a strategic mistake. The most successful organizations recognize these elements as an integrated system requiring holistic management.

Remember: Culture isn't just what you promote – it's what you permit. What's growing in your organizational garden?

The question isn't whether to prioritize culture transformation – it's how quickly you can make it happen before your competitor does.

What's your next move in creating a workplace that drives both employee and customer success?

Mad About Marketing Consulting

Advisor for C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.

Solving The People, Platform and Process Conundrum

When it comes to transformation of any sort, especially digital ones, many business and marketing leaders tend to focus mainly on the packaging, pricing, platform and sometimes people side of things.

Based on my decades of experience working in global corporates, including professional services and consultancies, I have come to observe that the dependency on the 3Ps (People, Platforms, Process) is inherent everywhere I help with transformation, including marketing and organization-wide transformation to upskill, digitalize and restructure the function to be fit for the intended vision of the organization.

However, I have also observed that many don’t fully understand the true potential and are not maximizing the true potential of the marketing function, often treating them as a communication, creative, events or worse, a corporate gifts department.

Due to this lack of understanding and appreciation of how marketing can and should work, they often try to force new technologies, new platforms or restructure the function in such a way that it leaves no room for progress, upward mobility or innovation in the way they think, plan and execute.

This in turn affects their ability to help you actualize your business value proposition to your customers as they can only do a redesigning of your product or service offerings with a nicer tagline and/or visual year after year or come up with gimmicky promotions to entice the customers.

This then affects your overall growth and profitability as you are not addressing the true needs of your customer and in turn, you look to cut the marketing budget and worse, headcount as you see them as a cost centre and not much else. Being short on resources on all fronts, your marketing team begins to churn or go back to doing the same things in trying to cope with all the business demand and the vicious cycle repeats itself.

However, often times we should be looking at transformation in totality to include process as well to check if 1) your existing process is supportive or conducive for the transformation you need to make and 2) what changes or enhancements do you need to make or 3) what new processes you need to create to incorporate the transformation needed.

Take for example, you wish to introduce automated A/B testing within your MarTech capabilities to improve on efficiency and speed to market. There are a few things you need to consider from a process perspective.

This includes:

• What is the current process your team has to go through to create content and offers to enable the A/B testing even if it’s a manual one?

• Will that process change with an automated tool or will there be an additional layer of process needed to enable the testing? This can be approval of the A/B testing logic set-up in addition to the content and offer mechanics for example.

• Are there regulatory restrictions to adhere to from a customer fairness perspective? How about the customer targeting set-up logic needed? Can you use your existing set-up framework and customer targeting attributes or do you need a new one?

• Is there any security risk in terms of data transference leakage or concerns by incorporating the new A/B testing tool onto your existing MarTech stack?

The above is just a rough example of the process and platform side of things to consider when it comes to even a simple implementation of a seemingly harmless tool. Just barely scratching the surface and not even getting into the deep end of transformation.

This is why I founded Mad About Marketing Consulting, to bridge the gap between business and marketing, having helmed transformative roles for several global MNCs, including EY, JLL, Kantar, State Street and most recently, Citibank. I work with your business and marketing teams, creative, brand, media and even business management agencies to bring across that insider perspective of how marketing can and should work as a business enabler. This is to ensure nothing falls through the cracks as you go about your organization wide transformation.

Simply said, no one understands marketing pain points and potential as well as a marketer who has been at the forefront of change, built teams from scratch and nurtured inherited and mature teams.

Check out my credentials here.

Mad About Marketing Consulting

Ally for C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.

Demystifying Digital and Data

I cringe and roll my eyes internally whenever I hear companies talk about how digitally mature they are because they have a nice looking website, are on all the latest social channels and have adopted a dozen of MarTech tools but not entirely sure how they are measuring success or what they are truly trying to achieve.

Being digital goes beyond just a nice looking website, be on all the latest social channels and buying all the fancy MarTech tools so you look like you are at the forefront of digital adoption. It’s also to avoid creating a data and digital dumpster.

Yes, there is such a thing as too much data and digital tools.

On the flipside, there is also such a thing as over reliance on one single platform/tool, person or process to try and help you make sense of the data you have or enable your business.

“Wait a minute”, I hear you say. “What am I supposed to do if both scenarios are not ideal?.”

I was recently inspired to write something about this after attending a few forums speaking about digitalization, data analytics, Gen AI and MarTech.

It depends on a few factors:

• what are your objectives for using this tool or platform?

• what are you trying to achieve and what insights are you trying to gather with the data collected?

• how does the tool and data help you achieve your objectives?

• what are you current processes like that will either hinder or enable you to fully utilize the tool and data collected?

• what are the current skillsets and mindsets of your people that again will either hinder or enable you to maximize the tool and data?

• what matters most when it comes to choosing the right tool?

• what matters most when it comes to analyzing the data collected?

• have you tested other tools serving a similar nature and what are the test steps you have used?

• how are you collecting your data, storing, managing and analyzing it? What do you do with the insights gathered?

• understand the pros and cons of multiple tools/platforms versus single tool/platform and their impact on your objectives and desired outcomes.

Some companies have chosen to stick to certain tools because they have invested a lot of time, money and effort on it despite it not meeting their needs. Some companies have chosen to over rely on just one or two people to be their so-called power users and are almost at the mercy of these folks.

Both scenarios create what we call bad behavior almost like a bad relationship where you know deep down it’s not quite right but you are so entrenched it feels like you need to live with it. What happens then is they abandon the tools bought or underutilize it (especially in the first scenario) and buy yet another tool without first understanding what is it that is not working well.

The other possibility is to hire an expert to either train your users or join your company and end up being at their mercy especially if you as the function or business owner doesn’t have a clue as to what you are trying to achieve, what the tool is capable of and its limitations, and how you intend to sustain the use of the tool if your needs change.

The way I prefer to work and advise my clients have always been to really deep dive into their pain points, current processes, people capabilities, business and marketing objectives , outcomes they want to achieve and how they want to measure success.

If I know for sure that there is a more effective platform or tool to help them achieve what they need, I will not hesitate to advise them to bite the bullet and consider another tool. Likewise, if I know the issue is not the tool but their current lack of knowledge or a gap in their processes, then I will work with them on addressing that gap instead.

A critical part of change management is mindset and behavioral change, and enablement of the people with the right skillset, supportive processes and therefore cultivating a supportive mindset to adapt to the change.

There is no one-size fits all, so what matters more is to be open to learn about different options available out there, not just what you are comfortable with or what others are using.

Psst - For data analytics, there are - tableau, amazon quicksight, power bi, looker, qilk, apache spark just to name a few commonly used ones. I have my personal favorites but it depends again on the factors I mentioned above.

About the Author

Mad About Marketing Consulting

Ally and Advisor for CMOs, Heads of Marketing and C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.

Why Is It Hard for CMOs to Transform Their Teams

Any sort of transformation is disruptive to business-as-usual (BAU) and any disruption to BAU also means that productivity is hampered. Amidst trying to meet business and marketing goals, targets and objectives, CMOs and their teams often find it hard to simply adhere to BAU and transform concurrently, and you cannot blame them.

CEOs and COOs simply have to first understand that the transformation journey is not a simple one where you can see the end of the tunnel right from the beginning of where you start. It’s more like a long winding road with hoops, turns and circles, depending on the complexity of the problems you are trying to unpack, the processes you need to overhaul to the skillset and mindsets of the people you need to enhance and change.

It throws a spanner into the works and takes time away from the CMOs and their one-downs to even try and formulate a plan swiftly while still carrying the major decisions they need to make to deliver their plans on time. Often times, they simply don’t know where or how to start without putting a halt to certain initiatives, campaigns or programs.

It is also a case of over familiarity and attachment to current processes, tools and scope of work that can build up an inertia for change of any sort that calls for an overhaul of the marketing department. While some companies choose to refresh their CMO leadership team, they find themselves in an even worse-off situation.

Why you may ask. Well, if you look at it objectively, a new CMO as in any new leadership person who just joins an organization will need to learn about the culture, processes, team capabilities from scratch. That is the so-called teething or onboarding period where the old team is likely to view the new leadership with suspicion and is less open to sharing information on how things actually work for fear of judgment.

Worse, you expect the CMO to already have a plan on how to transform while trying to settle into the organization without knowing the ins and outs of how things work. This journey itself will take at least 9 months to a year to complete before transformation can actually take place. It definitely cannot be a cookie-cutter approach that the CMO brings and applies from their previous company as every company is unique. Also, not all CMOs even have that approach they can rely on, which means even more time trying to plan or learn it from scratch.

In my experience working with various leadership and organizational structures, often I find that as marketing leaders, we are not given a lot of leeway and time to transform, resulting in having to look at quick and cheap wins, often at the expanse of people. This is not ideal nor is it sustainable even if you see initial positive results in terms of either business or marketing returns. These results are often not sustainable for longer term growth and retention of their key talents.

This is simply because good people who are working for something beyond just a pay check would not want to be associated with such an organizational culture. And that culture is often changed for the worse or established as a result of the hasty changes to be made.

It might be worth considering having independent third parties partnering with you and your CMO to help alleviate some of the pressure of planning for that change, so they can still focus 100% on the BAU to keep the engine running on full tank. After all, that is what you are paying your CMO for and not simply to do a once-off transformation. In other words, think bigger picture and longer term.

About the Author

Mad About Marketing Consulting 

Ally for CMOs, Heads of Marketing and C-Suites to work with you and your marketing teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.