Solving the right problem 2

Let data guide the way

One of the biggest mistakes businesses make? Relying on assumptions instead of real data. Too often, decisions are based on gut feelings, outdated reports, or siloed knowledge, leading to wasted time and effort.

The best way to find the right problem to solve is by letting data do the talking. Businesses should focus on:‍

1. Analyzing real-time operational data to understand how work happens, not just how people think it happens.‍
2. Breaking down data silos across departments to get a full-picture view of inefficiencies.‍
3. Using predictive analytics to identify patterns and issues before they be come major roadblocks.

Think of data like a GPS for your business—the more accurate your data, the clearer your path to real solutions.

Scaling solutions with intelligent automation

Once you’ve found the right problem, how do you solve it efficiently and at scale? That’s where Intelligent AI automation comes in.

Unlike traditional automation, which simply follows set rules, AI-powered automation learns, adapts, and optimizes overtime. By combining AI, machine learning, and natural language processing(NLP), businesses can automate complex decision-making processes, reduce manual errors and inefficiencies and scale solutions across multiple departments with minimal human intervention.

For example, instead of just automating invoice processing, AI-powered automation can read, interpret, and validate invoices, flagging discrepancies automatically. Instead of just automating a customer support chatbot, AI can understand customer intent and predict responses based on past interactions.

Speeding things up with low-code

Traditional software development takes time—sometimes too much time. That’s why low-code platforms are gaining traction. They let businesses build apps with minimal coding, using drag-and-drop functionality instead. This means:

✅ Faster development
✅ Easier collaboration between IT and business teams
✅ More flexibility to adapt to changing needs

For businesses looking to move fast without getting stuck in long development cycles, low-code is a game-changer.

Creating apProblem-solving culture with a CoE

Even with the right tools, businesses need a structured approach to innovation. A Center of Excellence (CoE)helps ensure that best practices, knowledge, and solutions aren’t just limited to one department but are shared across the company.

Think of a CoE as your company’s "braintrust" for problem-solving"—a team dedicated to identifying opportunities, scaling solutions, and continuously improving processes.

Move with purpose

At the end of the day, problem-solving isn’t just about fixing things—it’s about making meaningful improvements that drive real impact. By combining structured problem identification(like the Triple Diamond), powerful tools (like data analytics and AI automation), and a culture of continuous improvement, businesses can solve the right problems—and solve them well.

Take aways:

• Don’t just collect data—make it actionable. Invest in dashboards and analytics tools that turn raw numbers into clear insights.
• Intelligent AI automation isn’t just about doing tasks faster—it’s about doing them smarter.

So, what’s next for your team? Are you focusing on the right challenges? And do you have the right tools to tackle them?