DIGITAL ECOSYSTEMS
“Intelligent workflows can help businesses scale their work by eliminating repetitive tasks , freeing up their employees ’ time to focus on work that matters most ”
BEN CANNING SENIOR VP , PRODUCT EXPERIENCES , SMARTSHEET
Integration challenges : Legacy systems and cultural adaptation Integrating intelligent workflows presents a unique set of challenges . As Dodkins explains , it ’ s vital to make sure the new intelligent workflow solutions work well with legacy systems to keep data flowing and operations running smoothly , while safeguarding data accuracy and consistency across all systems is paramount to leverage the true potential of intelligent workflows . Beyond technical aspects , Dodkins emphasises the need for the right culture to embrace intelligent workflows .
“ Orchestrating an organisational culture that welcomes and adapts to digital transformation , by investing in employee training and change management initiatives , is pivotal to successfully implementing intelligent workflows .”
Morris offers a pragmatic view , suggesting that the objective isn ’ t to replace all existing infrastructure . Rather , businesses should look for solutions that ‘ seamlessly integrate ’ into what already exists and helps get more value from the data .
“ As companies navigate the uncertain economic landscape , getting more value , faster , is vital .”
Future technologies : Preparing for the next wave Surek believes that Generative AI will “ enhance the ability to analyse data and detect patterns for decision making ,” serving as a potent tool in the intelligent workflow arsenal .
“ Businesses are already gathering an enormous amount of data from the various operations and integrations that happen with staff and clients , so ensuring that the data collected can be easily accessed and analysed will be key to realising the full potential of these future technologies ,” he says .
Morris speaks to the central role of AI , saying that businesses “ must take advantage of the opportunities of AI technology and utilise general-purpose LLMs which are built for enterprise-level use cases .
“ This includes building an architecture that can accommodate large volumes of data for processing and utilising best-inclass algorithms that can sort through and act upon that data .”
Canning offers a more strategic perspective on preparation . He advises businesses to consult their employees and IT teams to assess their current workflows and ask them where they feel there are bottlenecks and inefficiencies . This will not only prepare the organisation for adopting intelligent workflows , but also ensure that they are tailored to solve specific challenges effectively .
“ Gen AI for the sake of gen AI isn ’ t the way forward – instead , consult your employees and IT teams ,” he says . “ They ’ re the ones who will use these tools day in and day out .”
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