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In the near-future, the best companies won’t just measure employee experience - they will sense it, understand it, and improve it in real time. Every company wants to understand employee experience. But let’s be honest - how many employees actually look forward to filling out yet another quarterly engagement survey? The truth is, by the time you collect, analyze, and act on survey data, the insights are already outdated. Employees don’t wait three months to feel disengaged. They don’t schedule frustration for Q4. So why are we still relying on static snapshots when we live in a world of real-time digital signals? From Stale Surveys to Live Insights Think about it: Employees are constantly interacting with digital systems - collaborating on Teams, navigating HR platforms, accessing knowledge bases, attending virtual meetings. These digital interactions leave behind a rich, real-time data trail that reveals: - Collaboration patterns: Are teams communicating effectively, or are key players isolated? - Frustration signals: Are employees repeatedly searching for the same info but not finding answers? - Workload indicators: Are people burning out, sending emails at midnight, or stuck in endless meetings? BTW, this isn’t surveillance - it’s “intuition at scale”. The same way AI recommends what movie you might like next, it can proactively surface signals of disengagement, friction, or burnout - before it’s too late. Why This Matters Now The future of employee experience isn’t about asking people how they feel - it’s about understanding it in the flow of work and acting before problems escalate. - Imagine an AI-powered system that flags team silos before they become cultural roadblocks. - Picture an HR dashboard that identifies real burnout risks, not just self-reported stress levels. - Think about onboarding that adapts dynamically, based on where new hires struggle most. The Balance Between Data and Trust Of course, privacy and ethics matter. The goal isn’t to micromanage but to empower - to use digital interaction data in a way that makes work smoother, more intuitive, and more human. Transparency is key: Employees should know what’s being measured, why, and how it benefits them. ZEN: The Future Will Be a Workplace That Listens Without Interrupting Imagine a world where companies don’t need to chase feedback - it’s already there, woven into the fabric of everyday work. A world where insights come from action, not just opinion. The best companies won’t just measure employee experience - they will sense it, understand it, and improve it in real time. #Scout #Soroco

Digital Exhaust or Strategic Asset? Rethinking the Value of Interaction Data in Enterprises Every enterprise generates digital interaction data i.e. how humans interact with systems to do their daily work. This digital interaction data at work is 72X of what gets produced in Social Media. However, most of it is ignored, discarded, or treated as “digital exhaust” - the byproduct of day-to-day operations. But what if this exhaust is actually an untapped strategic asset? Imagine running a factory and letting valuable raw materials slip through the cracks simply because they weren’t labeled as “assets.” That’s exactly what enterprises risk doing with digital interaction data today. Hidden in these digital trails are insights into bottlenecks, inefficiencies, collaboration patterns, and even early signals of risk or opportunity. But here’s the challenge: - Volume vs. Value: Companies drown in data but struggle to extract meaningful insights. - Real-Time Actionability: Insights need to drive decisions now, not sit in a dashboard that no one checks. Forward-thinking enterprises are flipping the script - turning digital interaction data into a live intelligence layer that improves efficiency, enhances decision-making, and even reshapes culture. ZEN: Are you letting your enterprise’s digital exhaust dissipate into the void, or are you harnessing it as a strategic differentiator? #Scout #Soroco

What is Digital Interaction Intelligence (DII), and why should you care? DII is an?industry-agnostic?technology that provides an?unbiased, data-driven?method to understand how employees interact with various applications, particularly productivity tools. Unlike traditional process mining solutions that focus solely on processes, DII takes a?user-centric perspective, offering deeper insights into real workflows and inefficiencies. While DII is applicable across industries, this white paper explores its?specific impact on banking, where operational inefficiencies, compliance burdens, and rising customer expectations continue to challenge institutions. By providing?real-time visibility?into digital workflows, banks can: - Reduce operational costs by eliminating inefficiencies - Strengthen compliance through automated regulatory workflows - Enhance customer experiences with streamlined operations - Optimize automation by identifying high-impact opportunities This document outlines the?benefits of DII in banking, detailing key industry challenges, the limitations of traditional digital transformation, and real-world success stories powered by Soroco’s Scout. #Banking #DigitalTransformation #ProcessIntelligence #FinancialServices #Soroco #BankingInnovation

How ‘Invisible Work’ Hurts Enterprises - And How Digital Interaction Data Can Make It Visible Every enterprise has it. No one talks about it. But it’s quietly bleeding time, energy, and money. I’m talking about “invisible work” - the silent productivity killer. It’s the rework caused by unclear handovers. The hours spent searching for that one critical email. The manual updates across multiple systems. It’s the “glue work” that keeps teams afloat - but never shows up in reports. We have all grown up with the adage - “If you can’t measure it, how can you fix it?” But the truth is: “If you can’t see it, how you can you fix it?!” Most enterprises are laser-focused on visible metrics - revenue, efficiency, output. But what about the hidden inefficiencies that erode all of that? What about the friction in workflows, the cognitive load of scattered tasks, the unstructured processes that force people to work around systems instead of within them? Here’s where Digital Interaction Data can turn the “invisible” into the “actionable”. By mapping how work actually happens - not just what’s in the official process docs, leaders can uncover: - Where effort is getting lost in unnecessary admin work - Which workflows are slowing teams down instead of speeding them up - Where “toil” can be reduced to free up people for high-impact thinking ZEN: When enterprises start treating “work visibility” as a competitive advantage, they stop asking: “Why are our teams working late?” and start fixing the hidden inefficiencies that cause it. What’s the invisible work in your organisation - and are you ready to see it? #Scout #Soroco

Abhijit Shroff and I were at the HFS GCC Summit in Bangalore last week—great discussions, fresh insights, and one term from Phil Fersht that stuck with us: #FOBO —Fear of Being Obsolete. That fear is real. GCCs have long been the backbone of global enterprises, ensuring efficiency and scale. But today, that’s not enough. With Agentic AI here and Super AI around the corner, GCCs that don’t evolve won’t just fall behind—they’ll be left out altogether. The challenge? You can’t improve what you can’t see. Many GCCs still don’t have a clear picture of how work actually happens inside their operations. Without that, transformation is just a shot in the dark. This is where AI and interaction data come in. Not just for automation, but for discovery—to find inefficiencies, unlock hidden value, and fuel continuous transformation. We had some great conversations at HFS about how Soroco is helping GCCs tackle this challenge. Soroco's Scout AI mod is becoming an integral technology asset for operations leaders—helping them uncover hidden operational insights, drive efficiency, and ensure transformation isn’t a one-time effort, but a continuous process. Because in a world that’s changing this fast, standing still isn’t an option. The real fear isn’t missing out—it’s becoming obsolete. Thanks Phil, Sia and everyone at HFS Research for a wonderful gathering. -- #HFSGCC #GCC #GBS #DII #AI #InteractionData Saurabh Gupta Sia Rostami Ravari Divya Iyer Hridika Biswas Ashwin Venkatesan

Did you know that up to 30% of operational costs in banks are tied to inefficiencies that remain invisible? Many banks?digitize their processes but still struggle with inefficiencies?due to?manual workarounds, fragmented workflows, and system gaps. Traditional process mining tools rely on event logs—but?what about the work happening outside structured systems? This is where digital interaction intelligence (DII) changes the game. But what is DII and how does it work? Unlike traditional process mining,?DII analyzes the actual work performed by employees across different applications, systems, and workflows. Soroco's Scout is a leading DII platform that uncovers hidden inefficiencies in enterprise workflows by capturing real-time user interactions across applications, providing data-driven insights to optimize operations, reduce costs, and drive automation with precision. How does Scout uncover hidden inefficiencies in banking operations? - Unstructured work:?Scout?maps out workflows in real-time?to show how employees interact with systems, revealing inefficiencies in manual steps. - Identifies automation opportunities:?Instead of?guessing where RPA or AI can help, Scout?provides data-driven insights?on where automation will have the highest impact. - Improves compliance and risk management:?Gain?full visibility into compliance workflows?and ensure adherence to regulatory guidelines?without adding manual monitoring overhead. - Optimizes digital transformation initiatives:?Identify bottlenecks?before investing in automation?to avoid wasted effort on broken processes. - Reduces operational costs:?Cut processing times?in key areas like?KYC, loan approvals, payment reconciliation, and fraud detection. Banks that leverage DII gain a competitive edge by unlocking operational efficiency, reducing compliance risks, and accelerating transformation. #Banking #DigitalTransformation #BankingOperations #DigitalInteractionIntelligence #Automation #OperationalEfficiency #Compliance #Soroco #Scout

As the future of automation is headed towards agentic-driven transformation, the quality of process data will play a pivotal role in determining the level of success organisations can achieve on this journey. ?? Sumit Srivastav, Partner and Leader of Intelligent Automation at PwC India, and Rohan Murty, Co-Founder and CTO at?Soroco India Private Limited, continue their discussion on how organisations can securely harness process data and improve the performance and potential of their agentic systems.?? Watch the full video now: https://lnkd.in/geS4AdjZ #IntelligentAutomationatPwCIndia #AgenticAutomation #TogetherWeTransform #ArtificialIntelligence?#Data ??? Vivek Belgavi | Sudipta Ghosh | Ritesh Jain | Mahesh Parab | Hariprasad Gajapathy | Sagar Kothe | Samson David | Munjal Jhala

The success of an organisation’s Agentic transformation journey depends on the quality of data generated from various processes, be it interaction data or transaction data, amongst other factors.? ? With the age of agentic automation upon us, organisations need to harness process data to create smarter agents that can reason independently and provide human-like responses with actions.? ? Join us as Sumit Srivastav, Partner and Leader of Intelligent Automation at PwC India, and Rohan Murty, Co-Founder and CTO at?Soroco India Private Limited, discuss the role of process data and automation in fuelling agentic powered automation. Learn more: https://lnkd.in/g6pmiJmD ? ?#IntelligentAutomationatPwCIndia #AgenticAutomation #TogetherWeTransform #ArtificialIntelligence?#Data?

Millions of digital interactions happen across your organization every day—signals that hold the power to drive transformative change. But here’s the real question: Who owns it? A Digital Interaction Lead is emerging as essential—a champion for turning this data into actionable insights. From streamlining processes to rationalizing tech stacks, they enable the transformation enterprises need to stay ahead. Does your organization have one? If not, it’s time to ask why. #DigitalInteractionIntelligence #DigitalTransformation #AI #InteractionData

One Day Left! Register Now! Tomorrow, Kevin Bello will showcase a breakthrough in causal graph discovery during our latest Tech Talk. Learn how his smooth optimization approach replaces traditional methods, making causal inference simpler than ever! ?? Date: 21st January 2025, Tuesday ?? Time: 6:30 PM IST | 8 AM EST | 1 PM GMT Register Now: https://lnkd.in/dtaXh2vP #MachineLearning #CausalInference #AIResearch #TechTalk