Financial Services
Modernizing High-Risk Revenue and Reporting Systems at Orum
De-risking core data workflows where failures would stall growth, disrupt customers, and erode trust.
Services Provided
High-Risk System Modernization, Risk-aware System Re-architecture, Assessment-first De-risking
Product Type
Technologies Used
Data and Reporting Platform
Ruby on Rails
Product Type
Data and Reporting Platform
Technologies Used
Ruby on Rails
Project Highlights
Reporting data is now accurate, timely, and consistently available across the organization
Engineering teams no longer pulled into ongoing data requests, preserving focus on core product work
Reporting and data workflows can evolve without introducing instability or repeated rework
About
Orum is a revenue-critical platform operating in fast-moving, customer-facing workflows where accurate, timely data is essential to daily operations and external reporting.
As the company scaled, internal and customer-facing reporting became increasingly central to how teams operated and how customers derived value from the product. At the same time, the underlying data systems had grown fragile: tightly coupled, difficult to change, and risky to evolve.
Def Method was engaged to modernize these systems without disrupting live operations, enabling Orum to scale safely in an environment where breaking things would directly impact customers, revenue, and internal trust.
Challenge
Orum's reporting and data workflows had become a bottleneck to growth. Key challenges included:
Reliability risk — Data required for internal decision-making and customer reporting was difficult to access and slow to update. Failures or inconsistencies would immediately affect customer trust.
Revenue risk — Engineering time spent responding to ad-hoc data requests pulled focus away from revenue-generating work. Scaling the business without addressing this risk would compound the problem.
Irreversibility risk — Any attempt to rework the system carried uncertainty. Changes touched core workflows, and mistakes would be costly to unwind once customers depended on them.
The issue was not simply that Orum needed 'better reporting.' The deeper issue was that the system had become too risky to change, making necessary modernization difficult to pursue with confidence.
Solution
We treated this engagement as a high-risk modernization effort, not a tooling upgrade. Before enabling broader access or new capabilities, we focused on making change safe:
Reduce uncertainty in core workflows — We identified where data dependencies and system coupling made changes risky, and addressed those constraints before expanding functionality.
De-risk ongoing evolution — The goal was not just to solve today's access problems, but to establish a foundation that could evolve without repeated disruption or rework.
Preserve operational continuity — All modernization work occurred while Orum continued to operate and grow, without pulling focus from critical revenue initiatives.
The modernization effort resulted in a re-architected data foundation that supported both internal teams and customers without compromising reliability. Data required for reporting is continuously updated and reliably accessible. Manual data requests no longer interrupt engineering teams. Internal teams can operate with confidence in the accuracy and timeliness of information. Customer-facing reporting is delivered without creating new operational risk. These changes were introduced in a way that reduced coupling and clarified safe boundaries for change, allowing the system to continue evolving as Orum scales.
Results
The modernization delivered measurable, risk-reducing impact. Reporting data is now accurate, timely, and consistently available across the organization. Engineering teams are no longer pulled into ongoing data requests, preserving focus on core product work. As Orum grows, reporting and data workflows can evolve without introducing instability or repeated rework. Customers receive reliable, up-to-date information without service interruptions or regressions.
By de-risking these systems first, Orum gained a foundation that supports continued growth without fear of breaking critical workflows.
Many teams attempt to scale by adding new capabilities on top of fragile systems. That approach often fails because it ignores risk until something breaks. In this engagement, success came from modernizing by reducing uncertainty first — identifying where change was dangerous, addressing those risks, and only then enabling broader access and scale. This is the core of Def Method's approach to modernization: making necessary change possible again in systems where breaking things is expensive.