Migrating to the cloud without rationalising your existing estate is like moving house without decluttering. The mess just follows you — and in a hybrid environment, it compounds. You end up paying to maintain ageing on-premise infrastructure while also paying for cloud services, running duplicate platforms, and managing integrations that nobody fully understands because the person who built them left three years ago.
Technical debt is not a new problem. But hybrid cloud environments have given it new places to hide and new ways to grow. I have encountered it in all its forms: inherited it, managed around it, and led the programmes to address it. What I have learned is that the cost is almost always higher than the organisation realises, and the longer it is left, the more expensive it becomes to resolve.
The Five Forms of Technical Debt I See Most Often
Legacy on-premise systems never fully decommissioned
The cloud migration completes. Everyone celebrates. And then, quietly, the old servers keep running because there are two or three processes still dependent on them that nobody got around to migrating. Months pass. The temporary becomes permanent. Licensing costs continue. Security patches fall behind. And the organisation is now running two estates instead of one, with all the overhead that entails.
Decommissioning must be a defined deliverable in every migration programme, with its own timeline, owner, and success criteria. Do not consider a migration complete until the legacy system is off. Build decommissioning milestones into the project plan from day one, not as an afterthought once the new system is live.
Duplicate platforms doing the same job
Organisations accumulate platforms the way individuals accumulate subscriptions. A department adopts a tool. Another department adopts a different tool for the same purpose. A merger brings in a third. Nobody has a complete picture of what the organisation actually has, and the IT team ends up supporting multiple platforms that serve the same function at several times the necessary cost.
A technology asset audit, conducted honestly and comprehensively, is often the single highest-return investment an organisation can make. In my experience, most organisations discover they are paying for between 20 and 40 percent more software capability than they are actually using. Rationalisation is not glamorous work, but the savings it releases can fund the genuinely strategic investments the business needs.
Customised vendor solutions impossible to upgrade
A vendor solution is implemented and then customised heavily to fit the organisation's specific processes. At the time, this feels like good practice — the system fits the business perfectly. Three years later, the vendor releases a major upgrade that would deliver significant new capability. But the customisations are so deeply embedded that upgrading would require a full reimplementation. The organisation is effectively locked in, paying maintenance fees on a system it can no longer develop.
Before any customisation, ask one question: is this process genuinely unique, or are we customising because it is easier than changing the process? In most cases, the better answer is to adapt the process to the platform, not the platform to the process. Customisation should be a last resort, not a default response to change resistance.
Undocumented integrations between systems
Every organisation has them. Integrations built quickly to solve an immediate problem, never properly documented, and now quietly critical to business operations. Nobody is quite sure what they do, what they connect, or what would break if they were touched. They become untouchable, and the fear of breaking them prevents the modernisation work the organisation needs to do.
Integration mapping is unglamorous but essential. Before any significant modernisation programme, invest in understanding what you actually have. Map every integration: what it does, what it connects, what depends on it, and what the business impact of failure would be. This work is never wasted. It either confirms the modernisation is safe to proceed, or reveals risks that would have derailed it mid-programme.
Cloud migrations that copied old problems into new infrastructure
This is perhaps the most frustrating form of technical debt, because it represents a missed opportunity as much as a problem. The organisation invests in a cloud migration, but instead of using the migration as a moment to rationalise and modernise, they lift and shift everything as-is. The old architecture, the old inefficiencies, and the old problems are now running in the cloud. At cloud prices.
Treat every migration as an architecture review, not just an infrastructure move. Before migrating any workload, ask whether it should be migrated at all, whether it should be refactored, and whether the underlying process it supports still makes sense. The best time to address technical debt is before it moves to a new home, not after.
The True Cost Nobody Puts on the Balance Sheet
Technical debt is rarely accounted for explicitly. It does not appear as a line item in the technology budget. But it has a very real cost, and it shows up in places that are harder to measure.
Teams spend increasing proportions of their time maintaining legacy systems rather than delivering new capability. Innovation slows. The business waits longer for technology to respond to its needs.
Legacy systems that cannot be patched or upgraded become security liabilities. In regulated environments, they can also become compliance risks that attract regulatory scrutiny.
Good technology professionals do not want to spend their careers maintaining systems that should have been decommissioned years ago. Technical debt drives attrition and makes recruitment harder.
Organisations carrying significant technical debt find it harder to respond to market opportunities. The estate that should be an enabler becomes a constraint on what the business can do.
Technical debt is a tax on future progress. The longer you defer it, the higher the rate becomes.
What I Have Learned From All Three Sides of It
I have sat in all three seats when it comes to technical debt, and each taught me something different.
Leading a full rationalisation programme showed me how much organisational politics accumulates around legacy systems. Every platform has a champion somewhere in the business. Someone built their career on it, or a team has shaped their entire workflow around it. The technical case for decommissioning is rarely the hard part. Getting people to let go is.
Addressing debt in specific areas, without the mandate for a full programme, taught me the value of sequencing. You cannot fix everything at once, and attempting to do so guarantees you fix nothing properly. Picking the highest-impact debt and resolving it completely delivers far more value than spreading effort thinly across the entire estate.
Inheriting debt and managing around it is the most humbling experience of the three. You spend your days working within constraints you did not create, explaining to the business why something straightforward is taking longer than expected, and quietly building the case for the investment needed to address the root cause. It requires patience, discipline, and the ability to keep one eye on the horizon while navigating the immediate.
The Role of Enterprise Architecture
The five debt types described above share a common thread: they are all symptoms of decisions made without a complete picture of the technology estate, its purpose, and its relationship to the business it supports. That complete picture is precisely what a well-functioning enterprise architecture discipline is designed to provide.
Good enterprise architecture treats technology not as a collection of systems, but as a coherent estate with a purpose. It maps the relationship between business capabilities, the processes that deliver them, the data that flows through them, and the technology that supports them. When that map exists, decisions become clearer: you can see what is genuinely needed, what is redundant, and what needs to be modernised rather than simply maintained.
The principle of reuse before buy, and buy before build, sounds straightforward. In practice, it requires an architectural function with both the authority and the visibility to enforce it. Without that function, individual teams make locally rational decisions that are globally expensive. A department selects the best tool for their immediate need, without knowing that the organisation already owns something that does the same job, or that their choice will create an integration problem further down the line. This is how duplicate platforms accumulate. It is how undocumented integrations multiply. It is how customised vendor solutions become impossible to upgrade.
Business architecture adds a further layer of discipline by ensuring that technology decisions are grounded in business capability rather than technical preference. The question is never which platform is the most technically impressive. It is which platform best supports the business capability it is intended to serve, at a cost and complexity the organisation can sustain over time.
Organisations that invest in these disciplines do not eliminate technical debt entirely. But they accumulate it far more slowly, address it more systematically, and retain the strategic optionality that heavily indebted estates eventually lose. Enterprise architecture is not a bureaucratic overhead. It is the function that keeps your technology estate working for the business, rather than the other way around.
Technical debt is a tax on future progress. The longer you defer it, the higher the rate becomes.
The organisations that manage technical debt well do not necessarily address it all at once. They make it visible, they prioritise it honestly, and they address it systematically alongside their forward programme rather than treating it as something separate.
Where to Start
- Start with an honest audit of what you have. You cannot manage what you cannot see
- Quantify the cost of the debt you find, in maintenance spend, security risk, and velocity impact
- Prioritise by business impact, not technical elegance. Address the debt that is most actively constraining the business first
- Build debt reduction into your regular technology programme rather than waiting for a dedicated remediation project that never gets funded
- Establish architecture principles that prevent new debt accumulating at the same rate you are clearing the old
Technical debt rarely resolves itself. Left unaddressed, it grows. But approached systematically, with clear priorities and genuine leadership commitment, it is entirely manageable. The organisations that do this well consistently outperform their peers in technology delivery, cost efficiency, and the ability to respond to change.
Is technical debt holding your organisation back?
I work with leadership teams to assess their technology estate honestly, quantify the real cost of accumulated debt, and build practical rationalisation plans that deliver results without disrupting business operations. If this resonates, I would be glad to have a conversation.
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