Moving to the cloud takes time, planning and a lot of coordination. Technology teams have to keep the business running while moving applications and data, learning new systems and helping employees adjust. By the time the work is done, there is good reason to feel a sense of progress.
There are also expectations. Leaders want technology that supports growth. Employees want systems that make their jobs easier. IT teams hope to spend less time working around limitations and more time making improvements.
But those benefits do not all arrive the moment a migration is complete. A company may have moved its applications to the cloud and still be dealing with slow reporting, disconnected tools or costs that are difficult to explain.
That does not mean the move was a mistake. It means there is more work to do.
As businesses head into Q4 and plan for 2027, this is a useful moment to look at what their cloud investments are helping them accomplish. The next phase is about making those investments work better for the people and priorities they were meant to support.
Start with the problems people still experience
An application that was difficult to use before a cloud migration may still be difficult to use afterward. Employees may still need to enter the same information into multiple systems. A finance team may still wait too long for a report. Developers may still face delays when making updates.
Moving a system changes where it runs. Improving it requires attention to how it works.
This is the distinction between cloud migration and cloud modernization. Migration moves applications or data into a new environment. Modernization improves how those systems support the business, whether through better connections between tools, more reliable performance or simpler ways of working.
A practical starting point is to ask employees and technology teams where they still lose time. Their answers can help identify improvements that matter more than adding another feature or moving another application. Sometimes the most valuable next step is making an existing process less frustrating.
Understand what the spending is delivering
Cloud costs deserve attention, but a monthly bill tells only part of the story. Spending less is not necessarily progress if systems become slower or less reliable. Spending more is not necessarily a problem if the business is serving more customers or supporting additional work.
Consider a company whose online orders are growing. Its cloud bill may increase because its systems are handling more activity. If the cost of supporting each order is falling and service remains reliable, that higher bill may reflect a worthwhile investment.
The harder situation is when spending rises and no one can clearly explain why.
Technology and finance teams need a shared understanding of what is driving costs and what the business receives in return. That could mean reviewing unused resources, understanding which applications account for the largest expenses or comparing spending with business activity. The goal is to make informed decisions about where to invest and where to make adjustments, rather than treating every increase as a reason to cut.
Make room for AI without overlooking the basics
AI adds another consideration to cloud planning. Cloud services can give organizations access to the computing resources and tools needed to support AI applications. But adding those capabilities does not resolve problems with the information or systems underneath them.
For example, an AI tool designed to help employees find answers will have limited value if the information it uses is outdated, incomplete or difficult to access. More computing power will not correct those issues.
This makes everyday cloud and data work especially important. Connecting information across systems, setting appropriate access permissions and monitoring usage may not attract the same attention as a new AI launch, but they help determine whether that launch is useful.
For technology leaders, the practical question is whether the current environment can support the proposed use of AI reliably and at a manageable cost. Addressing gaps early can help teams avoid taking on more complexity than they are ready to support.
Keep security and reliability part of the ongoing work
Moving to a major cloud provider does not mean handing over every security responsibility. Providers protect the underlying infrastructure, while organizations retain responsibilities for areas such as their data, user access and service configurations. The exact division depends on the services involved.
Those responsibilities show up in ordinary business situations. An employee changes roles but retains access they no longer need. A new application is introduced without clear ownership. A backup exists, but no one has tested how quickly the team could restore operations.
These are not simply technical details. They affect whether people can do their jobs and whether the business can keep operating when something goes wrong.
Cloud planning should account for the ongoing work of reviewing access, checking configurations and testing recovery procedures. It also needs clear ownership, so these responsibilities do not get lost between teams after a project ends.
Give the team time and support to make improvements
Even when the priorities are clear, finding time to act on them can be difficult. The people who understand an organization’s systems best are often the same people handling support requests, troubleshooting problems and keeping daily operations moving.
Modernization work can end up waiting because the immediate needs never stop.
For employers, this makes capacity just as important as technical expertise. Before assigning another initiative to an existing team, it is worth considering what the work will require and what employees would have to set aside to complete it.
The skills needed will depend on the problem. Cloud architects and engineers can help improve infrastructure and application performance. Data engineers can connect systems and make information more usable. DevOps professionals can improve how software changes are released, while cloud security specialists can help address access and configuration risks.
Not every organization needs a new permanent position for each responsibility. The right approach may include developing existing employees, hiring for an ongoing need or bringing in contract professionals for a defined project. What matters is matching the support to the work and making sure the internal team can maintain the improvements afterward.
Use Q4 to choose a few priorities that matter
A useful cloud plan for 2027 does not have to begin with a complete overhaul. It can start with two or three problems the business would benefit from solving: a reporting process that takes too long, an application that struggles during busy periods or a cloud bill that has become difficult to manage.
For each priority, define what improvement would look like, who will be responsible and what support they need. Involve the people who use the systems as well as those who manage them. A change that looks successful from a technical perspective should also make a noticeable difference to the people doing the work.
Cloud migration is a substantial achievement. The next step is making sure it leads to improvements the business can see and sustain.
At Brilliant, we connect organizations with technology professionals who support evolving infrastructure, data and security needs. Whether a business needs specialized project support or a long-term addition to its team, the right experience can help turn cloud priorities into practical progress.
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Sources: Flexera, 2026; FinOps Foundation, 2026; Amazon Web Services; Microsoft Learn