The efficient utilisation of biocatalysis plays a pivotal role in achieving the objective of implementing environmentallyfriendly chemistry in industrial processes. Enzymes enable highly selective reactions under mild and economically friendly conditions, leading to their increasing commercial use, including the synthesis of valuable fine chemicals and small-molecule active pharmaceutical ingredients (APIs). The remarkable surge in enzyme-based processes can be attributed to advances in biotechnology and enzyme engineering, such as advanced DNA sequencing of genomes, directed evolution, especially in combination with genetic code expansion, and computer-assisted methods. These developments have facilitated the discovery and development of new, more robust, and powerful enzymes which can also be optimised for non-natural substrates, thus expanding biocatalytic methodologies. Some researchers even consider this period to be the "Golden Age of Biocatalysis". These novel enzymes can be made even more robust by immobilisation, for which a wide selection of solid support materials and linking methods are available. Next to considerable cost reduction through increased material stability, a more comprehensive range of reaction conditions can be used in water-immiscible organic solvents. Furthermore, enzyme immobilisation not only simplifies the handling of the biocatalysts and the separation of the product from it, but also enables the transition of biocatalytic processes into continuous flow systems as immobilised enzyme reactors (IMERs). Various conventional continuous flow technologies have already been developed and are commercially available, offering significant benefits, including process simplification, improved and consistent product quality, easier downstream processing, and the integration of online analytics. Biocatalysis can benefit significantly from using smaller reaction spaces, particularly in microreactors. The literature shows an increasing number of biotransformations in the microflow regime, often utilising so-called microfluidic immobilised enzyme reactors (μ-IMERs). For both IMERs and their microfluidic versions, a range of online analytical methods, including chromatographic and spectroscopic techniques, were tested in combination with these systems for comprehensive evaluation of the reaction outcome and performance. Downsizing of chemical flow reactions has, in general, several advantages. This reduces the consumption of reactants such as high-value APIs, immobilised catalysts, and expensive cofactors and improves heat and mass transfer, real-time process control, and mixing behaviour in a shorter time and spatial dimension. This approach allows processes to be conducted more safely and reduces waste generation. The enhanced flow control in continuous microfluidic systems also facilitates automation and parallelisation, leading to the development of several low-scale synthesizers. The field of reactor technology is rapidly advancing, driven by developments in data processing, which encompass the utilisation of recently matured data science disciplines, machine learning, and sophisticated artificial intelligence methods. This inflicts various discussed research areas such as microfluidics, enzyme development, or reaction optimisation. The implementation of these methods underlines the growing necessity for reliable, rapid raw data generation and instrumental hardware control, preferably within continuous flow systems integrated with real-time online analysis. For biocatalysis, however, there currently needs to be automated and data-rich methods for rapid and reliable validation of immobilised enzymes and screening of biotransformations. Consequently, tedious manual reaction screening is often required. Microfluidic devices are particularly suited for this purpose due to their low consumption, precise fluidic control, and versatility for their integration as either highly integrated or modular lab-on-a-chip devices. To address this challenge, we propose a biocatalytic automated screening platform in microflow coupled with online LC/MS detection. We recently investigated biotransformations in a digital microfluidic (DMF) approach. Building on our previous work with various integrated microfluidic devices for studying immobilised organocatalysts, we have now transitioned these biotransformations into a microflow platform, leading to improved automation, reactor control, and expanded applications in biocatalytic processes. We used the vanadium-dependent haloperoxidase (CiVHPO) from the fungus Curvularia inaequalis as a model enzyme for evaluating a biocatalytic bromination reaction. The enzyme exhibits remarkable properties, including high stability to heat and organic solvents, a broad substrate scope, and the ability to use H2O2 as an easily accessible cosubstrate. As a result, numerous papers have been published in recent years utilizing the efficient introduction of halogen atoms by CiVHPO in a wide range of organic compounds. We decided to covalently attach the CiVHPO to the solid support for better handling. Therefore, we genetically added the HaloTag TM to our protein of interest (CiVHPOHalo) and then linked it via a chloroalkane to ProntoSIL particles. The HaloTag TM method is highly selective and oriented, enabling reproducibility and easy adaptation to other biocatalysts. After immobilisation, the enzyme was packed into a custommade microfluidic fused-silica glass chip and was evaluated using the presented system. For screening applications, this setup has been designed to sequentially address multiple parallel packed-bed microreactors with different content or reactants in an automated workflow that allows for high variability. The approach minimises the reactant and catalyst consumption, emphasising the efficiency of this screening platform with minimal laboratory effort. We integrated online analysis to enable continuous, long-term monitoring by coupling the system with LC/MS and implementing automated injections. Additionally, we propose miniaturizing the analytical method using chipHPLC, leveraging our previous expertise in this area, to significantly reduce solvent consumption in the analytical section and accelerate the separation time.