“We’ve helped transform businesses across multiple industries by solving their unique integration challenges,” explains Matthew Crockett, Head of Synthesis CODE. “In shipping, we encountered a client struggling with siloed systems. Their booking system, inventory tracker, port logistics, and billing all operated independently, causing delays and errors. Customers could book containers that weren’t available, and the company lacked a real-time view of operations.”

In the agricultural sector, we integrated data from 15 disparate systems into one cohesive platform. “What began as paper-based interactions with relationship managers driving to farms has evolved into a powerful 24/7 self-service platform,” notes Crockett. “This transformation has drastically improved customer experience, reduced administrative overhead, and provided a single customer view.”

For financial services clients, we’ve overcome complex regulatory requirements while modernising legacy systems. “Banks face unique challenges balancing innovation with compliance,” says Marsh Middleton, Head of Commercial at Synthesis CODE. “We’ve helped institutions create secure, integrated platforms that maintain regulatory standards while enabling new digital services.”

Key Insights from Our Experience
Through these projects, we’ve gained valuable insights applicable across industries:

“A critical lesson from our work is that syncing systems is essential for transformation,” says Middleton. “Companies often try to resolve integration challenges using pre-made API products, which can lead to accumulated licensing costs and systems that don’t fully meet their needs.”

Crockett adds, “There are pros and cons when deciding what to buy or build, but from our experience collaborating with financial services to supply chain companies, when complex systems and legacy infrastructure are involved, building a custom solution is typically best.”

A customised central API that connects all systems and presents data in a single digital platform transforms this pain point. Once established, new digital channels—mobile apps, voice assistants, or emerging technologies like VR—can be added easily without rebuilding everything.

“What’s exciting is the potential each business has,” explains Middleton. “Disconnected systems should never be the reason they don’t reach that potential.”

Our Process: Making Digital Transformation Real

When approaching digital transformation, we focus on creating a clear roadmap before implementation.

“We start by plotting where a company wants to be and then map out how to get them there,” Crockett explains. “The magic we bring is the ability to help them chart that journey and then walk it with them.”

It’s tempting to jump straight to exciting technologies, but this often leads to wasted resources. Middleton notes, “A reliable digital partner will first assess your current level of complexity and maturity, using this to dictate your next steps for digitalisation.”

This methodical approach ensures sustainable progress: “It’s like signing up for an ocean marathon without having mastered swimming in a pool. There are fundamental skills you need before diving into the endpoint magic,” says Middleton.

Our process typically follows these steps:

1. Assessment of business needs and current systems
2. Cloud enablement and infrastructure setup
3. System integration and modernisation
4. Targeted AI implementation where beneficial
5. Knowledge transfer and team upskilling

“The business value unlocked from cloud isn’t just moving data—it’s the ability to innovate and build digital products more rapidly, releasing to customers at global scale,” says Crockett.

The Path Forward

As Mark Twain said, “The secret to getting ahead is getting started.” For businesses, meaningful digital transformation isn’t about presentations or agendas—it’s about having a clear vision, a roadmap to achieve it, and creating an integrated environment that makes digital transformation real.

“One piece of advice that stands out is to pick a partner prepared to share knowledge and upskill your team,” concludes Crockett. “When we hire, we look not just for high-end skills but for team members able to teach those skills, ensuring your success long after our project concludes.”

The post Going Beyond Theory: Real-World Lessons in Digital Transformation appeared first on Synthesis.

By Tjaard du Plessis, Synthesis Head of Digital & Emerging Tech

Here be Dragons!

There’s something about that moment when you go: File > New. Together with the beauty of the blank page, the nothingness also invokes, fear. Fear of uncertainty. At the start of a project is when we know the least. Surely, we can’t be building software in such a state of unknown? What is needed is a way to eliminate uncertainty before we start, right?

The traditional and maybe most intuitive approach is to analyse before you start, to carefully map out a plan. The tension of uncertainty will be removed and out pops a cost, a time and a nifty Gantt chart. A stock take at this moment usually reveals a stack of documents and three months’ worth of invoices.

Before the ink is dry

The traditional approach works. Wait… what? Time to quote Game of Thrones: “You know, my brother once told me that nothing someone says before the word “but” really counts” ~ Benjen Stark.

The traditional approach works, but… only if nothing changes. And as we all know, before the ink on that shiny functional spec is dry, the dragon of change is set loose, and with its swooping wings lays waste to your analysis. Before you armour up though, even if we could wield the sword and slay the dragon of change, the traditional approach to analysis has yet another detractor. Warning, the following might evoke painful memories, parental guidance is advised.

Enter the Dragons

The three months analysis phase has just completed, it’s time to transform ink into code. With the safety of the functional spec beside you, you start churning out working software. And then, that iceberg moment. “This won’t work according to plan? Didn’t analysis erase all uncertainty?” Your minds picture of the project manager’s worried face is enough to convince you to park this thought somewhere between “not my problem” and “where’s the coffee”. You balance a hack with sticking to the spec and pass the code on to be tested, only to discover another iceberg, argh, more uncertainty, how is this possible?! At least there’s still loads of time before the demo and by then there will be no questions, it will be exactly what everyone wanted. Hmm… That’s not quite how the story ends, is it? Coding, testing, demo and the whole act of delivering software always brings with it, more learning.

How to train you Dragon

So, on the one hand change renders our analysis waste and on the other, valuable learnings emerge only when it’s too late. But both change and learnings aren’t evil! They, and their fiercer brother, uncertainty, can be trained!

Stop being afraid. The solution is easy to execute, it’s the change of mind that’s hard to accept. The traditional mindset divides delivery into phases, allowing learning only in phase: Analysis. I’m proposing that coding, testing, demo and yes, normal stock standard analysis too, are actually all great tools for feedback and learning and you need all of them to slay the dragon of uncertainty. Therefore, start isn’t something you do after analysis, start is coding, testing and demo. It’s time for a change of start. Get rid of phased thinking, embrace uncertainty and simply… just… start. Eventually you’ll find that building without analysis isn’t waste, analysis without build, is.

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