A new pace for cloud transformation
For many organizations, moving to the cloud is often the easy part. The real challenge begins with getting your systems, data, and code ready to run in that environment.
Years of legacy systems, complex code, and disconnected data mean even simple changes take significant time and effort. Teams often find themselves balancing two competing priorities: maintaining what already exists while building what comes next.
With Snowflake Cortex Code, that dynamic is starting to change.
At Spaulding Ridge, we’ve been early adopters of Cortex Code and are proud to be a preferred partner. We’re already using it across client environments to reduce manual work, move faster, and simplify complex data challenges. Tasks that once required hours of effort can now be completed in minutes, giving teams more time to focus on higher-value work.
Turning manual work into momentum with Cortex Code
Cortex Code is changing how teams approach data work at a fundamental level. Rather than writing and rewriting large amounts of code by hand, developers can describe what needs to happen and let agentic AI handle much of the heavy lifting. This not only accelerates delivery but also changes the experience of the work itself.
We’re seeing this play out across a range of client environments. For a global customer data platform company, Cortex Code helped quickly debug and resolve service and application grant issues that typically require digging through layers of permissions and configurations.
In another case, with a regional fiber-optic internet service provider, we used Cortex Code to clean up and restructure RBAC configurations, identify vulnerabilities, and support the buildout of service-location master-data pipelines. What would normally be a time-intensive process became far more streamlined and manageable.
Work that once required deep familiarity with every table, script, and dependency becomes much easier to navigate. Teams can move with greater confidence and focus their time where it actually matters.
A closer look at simplifying change at scale
In one recent engagement, a large energy organization needed to update how it collected and structured data from utility providers.
At first glance, the change seemed simple: move from quarterly submissions to monthly and introduce a few new data fields. In practice, the impact was much larger. Nearly 90 tables needed updating, and each change had to be handled carefully to avoid disrupting downstream processes. Depending on how data is structured, even updates like adding a column can involve recreating tables and reloading data. Traditionally, this kind of update would involve hours of scripting, testing, and validation across environments.
Using Cortex Code, the team generated the required scripts in a fraction of the time. What would have taken hours was reduced to just minutes to produce and review. The work still required oversight, but its nature changed. Developers were no longer building everything from scratch, and they could focus on validating outcomes and ensuring accuracy.
Making data easier to understand with Cortex Code
Another common challenge for organizations is simply understanding their own data environment. New team members often rely on documentation, diagrams, or conversations to piece together how data flows through systems. Even experienced teams can struggle to quickly answer questions about usage, permissions, or dependencies.
We’ve seen this firsthand in practice. For a global investment management firm, we used Cortex Code to generate end-to-end views of their current data environment, from schema through to agent interactions. Teams were able to quickly understand how data flowed, how it was used, and where opportunities for improvement existed.
It also made everyday questions much easier to answer. Things like “who has this role?” or “what permissions does this user have?” could be surfaced instantly, removing the need for manual investigation and accelerating onboarding for new team members. That level of visibility not only reduces onboarding time but also helps teams make more informed decisions with greater confidence.
Reducing friction for developers
Beyond large-scale changes, Cortex Code also improves the day-to-day development experience.
For a national professional organization for physicians, we used Cortex Code across several parts of their workflow. This included supporting user onboarding, optimizing semantic views, and building reusable logic that could be carried directly into its other platforms.
It also enabled more advanced use cases, like identifying data anomalies and building a dashboard to monitor AI-related costs. These are the kinds of initiatives that often get delayed due to bandwidth, but become much more achievable when the manual burden is reduced.
More routine tasks, such as writing access controls, applying masking policies, or fixing minor code errors, can be handled much more efficiently. Developers can generate what they need in the moment rather than searching through documentation or reusing old scripts.
Over time, these small efficiencies add up. They reduce friction, streamline workflows, and allow teams to focus more of their energy on meaningful, strategic work.
A different kind of cloud journey
What stands out most is not just the speed, but the shift in how teams approach their work.
Cloud migration has traditionally been seen as a complex, resource-intensive effort that requires long timelines and careful coordination. Now, we are seeing a more flexible and adaptive approach take shape. Automation supports the process, reduces risk, and allows teams to move forward with greater confidence.
In one example, we partnered with a public university to build a synthetic student dataset. We used Cortex Code to help develop the application, accelerating both development and testing in a controlled environment.
At Spaulding Ridge, we help clients bring this approach to life. As a Snowflake Elite Services Partner and preferred Cortex Code partner, we work alongside teams to apply these capabilities in ways that are practical, scalable, and aligned to real business needs.
Looking ahead
Cortex Code continues to evolve, with new capabilities emerging quickly. Even now, it’s reshaping how organizations think about their data work.
What used to be slow, manual, and resource-heavy is becoming faster, more flexible, and easier to scale. Teams are no longer limited by how much time they can spend writing and maintaining code. They can focus on how quickly they can move, adapt, and deliver value.
For organizations that have been held back by the weight of legacy systems, that shift is more than incremental. It changes what is possible. If you’re exploring what this could look like in your own environment, reach out to learn more about how Snowflake Cortex Code can support your cloud journey.