Velocity's new partnership with Infosys Consulting answers a key challenge in investment management transformation: how to deliver it without disrupting a complex, high-stakes environment where failure isn't an option.

In technology terms, many buy-side firms have converged on a broad approach: more integrated platforms, stronger data foundations, cloud-native architectures, and AI-enabled workflows.

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What remains to be addressed in many cases is the harder operational question that underpins this development: whether a firm can get there without disrupting the environment where key investment workflows all depend on one another. One error, and the regulatory and operational cost can be devastating.

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It's a high-stakes challenge that buy-side firms face repeatedly during an investment management transformation, not just once.

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Assurance baked in by design

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That thinking informs Velocity's new strategic partnership with Infosys Consulting. Infosys makes the case directly in its post on The Hidden Cost of Buy-Side Caution: "Quality assurance is no longer a back-office checkbox – it has become a core business assurance function."

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The argument is that QA needs to shift from a late-stage checkpoint to a continuous discipline running through the full investment management transformation lifecycle, an operating model change rather than a tooling upgrade.

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It's a view we fully endorse, and it's the basis for how the two firms have structured this partnership. Infosys brings large-scale transformation delivery and a top-down approach to QA, while Velocity brings specialist buy-side implementation expertise and Auto XLR8.

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Auto XLR8 is our end-to-end testing platform, built specifically for the workflows and data complexity of investment management systems. It automates regression, validates implementation progress, supports UAT and monitors live production. This gives a firm clear evidence of what passed, what failed and whether an environment is actually ready to go live after a change. It looks across your whole ecosystem, not focusing simply on any single environment.

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We've written more on the issues of confining testing to a single system here: End to end testing foundations for investment management transformation: why isolated testing leaves blind spots

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Our DQ capability extends this testing approach into the data layer specifically, comparing data across systems against a canonical model built for investment management. Using AI diagnostics, it can flag not just where data disagrees but why. It runs standalone or alongside Auto XLR8.

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When treated as a priority, the test suites and data-quality checks built during implementation can become reusable assets, supporting regression testing and production monitoring long after go-live, so a firm isn't rebuilding assurance from scratch every time something changes.

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A future-proof model for investment management transformation

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Large delivery and consulting partners bring scale and transformation methodology. Velocity brings the specialist depth, testing platform and track record that keeps a programme's promises on track, both while it's being built and for as long as it's live.

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As buy-side technology delivery becomes more ambitious under competitive and regulatory pressure, this sort of partnership has become the logical way to achieve success in these complex programmes.

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Planning and building are nothing without effective execution.

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