Soroco, a digital interaction intelligence provider, showcased its Scout platform at the Illuminate BLR-24 event in Bangalore, revealing a powerful tool for transforming enterprise operations. Scout, a SaaS platform, captures human-machine interactions to draw insights and influence organizational structures, competitiveness, and workforce management. Enterprises should take notice because this technology calls for very different thinking about the organization management that best facilitates work, the mix of skills and processes, and how technology supports high-value labor. Technology and organizational strategies are inexplicitly conjured under the technology of Soroco’s Scout.
“I Want to Break Free,” the iconic ’80s anthem, perfectly captures the frustration of enterprises stuck in traditional structures, where outdated ways of working dictate how tasks are done, by whom, and how they’re managed. In many organizations, these old patterns are so ingrained no one stops to question them. Historically, this made sense—organizations were built for stability, scale, profitability, and predictability. But little thought was given to the broader, unintended impact of these rigid systems. Today, a new kind of organization is emerging, designed to benefit all stakeholders by enabling people to work and operate to create value.
Where do you begin to reimagine your organization’s ways of working? Start with Scout—the platform that harnesses human-machine interaction footprints to create a groundswell of insights for organization leaders and managers.
Samson David, CEO of Soroco, emphasizes the massive scale of interaction data, stating, “A team of 20 people is expected to have up to 5M interactions a year; however, if the team scales up to 200, the interactions jump 100-fold to 500M, and when the team size increases to 2,000, the interactions jump to 5B a year!” The world of business transactions is well understood, but the interaction is not tracked. At its core, it might be a bunch of clicks and keystrokes. Still, when converted to business insights, these interactions solve multiple problems, enable different outcomes to be achieved, change ways of working, and create value.
Converting clicks and keystrokes—interaction data—into business value is complex. Off-the-shelf large language models (LLM) cannot support this. This kind of data is complex and requires context and semantics. Scout’s underlying technology marries the transformation levers needed for interaction analysis with deep tech to anatomize these basic interactions and convert them into insight. Two AI models, one at the edge and one at the core, work together to provide insights. The AI model on the edge collects data across applications and systems, and the AI model on the core injects intelligence and business context into the data. Then, everything collates into a graph where different use cases come to life. Additionally, the efficacy of individual privacy is preserved, as insights are aggregated at the team level, avoiding finger-pointing at individuals.
Scout offers diverse use cases, including application rationalization, task mining, driving S4/HANA programs, optimizing data landscapes, modernizing mainframes, and enhancing merger and acquisition synergies. Enterprise clients can build applications on Scout with a time-to-value of just four to six weeks.
While there’s no quick fix for deep-rooted organizational dysfunction, we are increasingly convinced that exciting technologies such as Scout help managers and leaders across industries navigate complex work labyrinths and move quickly enough to exploit new market opportunities.
Managers often fall into the trap of sticking to familiar work patterns, sometimes retrofitting the latest tools into existing processes and considering that as change. Meaningful change comes from understanding your organization better through digital interactions, which will only grow with time and workforce expansion. Technologies such as Scout can potentially transform how companies are organized and managed. Still, their impact will remain unexploited unless leaders actively use them to drive efficiency and productivity and improve employee experience.
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