Case studies

What changed, how it was approached, and what improved.

A closer look at selected systems and workflow improvements, including the operational problem, implementation approach, and outcome. Identifying details are anonymized where needed.

Healthcare operations

Invoice validation that focuses people on exceptions

A system that compared invoices with completed medical services, processed correct submissions automatically, and sent discrepancies to the operations team for review.

Human attention focused on exceptions.

Challenge

Operations had to verify whether submitted invoices matched medical services that had actually been completed. Correct submissions and genuine discrepancies passed through the same manual review path, consuming attention that was only needed for a smaller group of exceptions.

Approach

The new workflow compared invoice data with completed-service records, processed matching submissions automatically, and routed discrepancies to the operations team with the relevant context for review.

Result

Routine validation no longer demanded the same level of manual attention. The team could focus its review on mismatches and unusual cases instead of repeatedly checking correct submissions.

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Global content operations

Publishing multilingual content without repetitive coordination

A real-time localization workflow that streamlined multilingual publishing across 28 languages and reduced manual content operations.

Real-time delivery across 28 languages.

Challenge

Publishing across 28 languages created repeated coordination between content, localization, and delivery workflows. Every manual hand-off added waiting time and made it harder to keep language versions synchronized.

Approach

A real-time localization workflow connected multilingual content operations more directly, reducing the repeated steps required to prepare and move language variants through publishing.

Result

Content could move through the localization process in real time across 28 languages, with less manual coordination required from the teams operating the platform.

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Platform modernization

Removing performance bottlenecks from a growing platform

A staged platform modernization that removed bottlenecks, reduced cold starts, and cut response times by up to 90%.

Up to 90% faster API response times.

Challenge

A growing platform had accumulated performance bottlenecks and costly cold starts. Improving it required changing critical parts of the system without turning modernization into a risky all-at-once rewrite.

Approach

The platform was modernized in stages, targeting measurable bottlenecks first and improving the runtime path while the wider product continued to operate.

Result

The affected API paths achieved response-time improvements of up to 90%, while the staged approach kept the modernization controlled and easier to validate.

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Content platform modernization

Modernizing a content platform without losing control of the data

A large-scale content platform migration combining clearer content structures, data validation, and automated operational workflows.

Safer migration of business-critical content.

Challenge

A large content estate had to move to a modern platform without losing business-critical data or carrying unclear legacy structures into the new system.

Approach

The migration combined a clearer content model with validation checks and automated operational workflows, so content could be transformed and verified as it moved.

Result

The team gained a more controlled migration path, with stronger safeguards around data quality and less dependence on repetitive manual checks.

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Internal tools

A simpler way to create and publish streaming content

An internal publishing platform that simplified the creation of landing pages and made TV application configuration easier to manage.

Faster creation of landing pages.

Challenge

Creating landing pages and managing configuration for TV applications depended on a cumbersome internal process, making routine publishing work slower and harder to manage.

Approach

An internal publishing platform brought page creation and application configuration into a clearer workflow designed around the needs of the teams using it.

Result

Landing pages became faster to create, while configuration work was easier to understand and manage without navigating the previous fragmented process.

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Applied AI

Testing whether AI-generated software actually works

Realistic software-engineering tasks and evaluation methods designed to reveal whether AI-generated solutions are genuinely correct.

More reliable assessment of AI-generated code.

Challenge

AI-generated software can look convincing while still failing important requirements. Simple demonstrations were not enough to distinguish plausible output from code that actually behaved correctly.

Approach

The evaluation used realistic software-engineering tasks and explicit assessment methods designed to test correctness rather than presentation alone.

Result

The resulting process made it easier to identify whether an AI-generated solution genuinely worked and to compare outputs using more dependable evidence.

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