8 hours to 75% faster: How Storable scaled data migration without scaling headcount

About Storable

Storable builds platform software for the self-storage, marina, campground, and RV industries. Its property management system sits at the centre of daily operations for facilities across North America, making accurate, timely data migration a critical step in every customer onboarding.

Jennifer McCurdy, Senior Manager of Software Implementation at Storable, leads the team responsible for onboarding. Her team manages a high volume of onboarding projects simultaneously, coordinating across sales, product, and support to hit aggressive go-live timelines, typically three to four weeks from contract signature.

The problem: a manual migration process under increasing demand

As Storable's onboarding volume grew, the manual effort required for each data migration did not decrease. Complex migrations required up to eight hours of hands-on transformation work, not including any customer-facing time. With a three-to-four-week average go-live target, and customers regularly expecting faster delivery, the team was managing growing demand within the same operational capacity.

Volume met complexity at the same time

The effort required per migration was not consistent. Some projects were straightforward. Others required extended back-and-forth, manual mapping across multiple systems, and several correction cycles before the data was in a state that could go live. There was no reliable way to predict which migrations would run long, and no mechanism to absorb the variability without it landing directly on implementation managers.

"We were balancing increasing demand, highly variable effort depending on the migration, and a growing pressure to accelerate the timelines."

Validation occurring later in the process required additional remediation effort

A portion of that manual effort was directed toward remediation rather than transformation. Missing fields and formatting inconsistencies identified later in the process required additional correction cycles, redirecting implementation managers from customer-facing work. The team recognised that moving the validation point earlier in the process would be more effective than accelerating the existing workflow.

"A lot of that time wasn't just spent on processing data. It was about fixing issues after the fact, things that could have been caught earlier."

Migration effort limiting time available for customer engagement

With a meaningful portion of each project cycle directed toward migration logistics and remediation, implementation managers had less availability for the relationship-building that supports long-term customer success. Storable's objective was not simply to move data faster. It was to redirect the hours toward training, adoption support, and the kind of customer engagement that requires a human presence.

The shift with Rocketlane Nitro

Storable was already a Rocketlane customer and already exploring automation concepts. When Nitro was introduced, the fit was immediate: it offered a way to embed validation and transformation earlier in the process, within a platform the team already relied on, without adding a new tool or a new vendor to manage.

An existing partnership made the decision straightforward

The goal was not simply to automate tasks in isolation. It was to embed agentic automation into a platform the team already relied on and trusted. The team was not just adopting a tool. It was helping shape how onboarding could work at scale.

The migration agent compressed hours into moments

The first time Storable ran a migration through the Nitro agent, the result was immediate. Transformation logic and structured validation, work that had previously involved extended back-and-forth, manual mapping, and multiple correction cycles, was handled within hours. Issues were surfaced before they reached later stages of the process. The manual, step-by-step character of the previous approach gave way to something more structured and predictable.

"The first time the migration agent handled the transformation logic and applied that structured validation without all the back and forth, it happened literally within hours. That was the moment."

Agents the team can build and change themselves

A key part of Nitro's appeal was how quickly and independently the team could create and iterate on agents. In previous evaluations of automation tooling, the barrier to modifying workflows had been a consistent sticking point: any change required pulling in someone external and pausing other work. With Nitro, that dependency is removed. Implementation managers can adapt agents without stopping what they are doing.

One platform, not a growing stack

Because the migration agent is native to Rocketlane, Storable avoided adding another tool to an already fragmented technology environment. New team members have a single destination to learn. And for a team that measures itself by customer relationships, not software management, that simplicity carries real operational value.

"When you've just got one app to direct somebody to, it's easier for employees to onboard. My boss Cody's mantra is: if it didn't happen in Rocketlane, it didn't happen."

What's next

Storable's near-term focus is on working through known data sets, specifically the migrations where the team already understands the challenges, to deepen familiarity with the tool and build confidence in its outputs. Within three months, the team expects to expand agent-creation access across the full implementation team, moving Nitro from a specialist capability to general knowledge.

The longer view is more structural. Over the next two years, agents are expected to become a standardised part of how every implementation manager works, particularly as data from external platforms arrives on unpredictable schedules and with changing schemas. Rather than pausing active work to handle a schema change manually, the team will be positioned to respond without disruption, keeping focus where it belongs: helping customers reach time to value faster.