productivity

How to Maximize Productivity with AI-Powered Process Intelligence

In the quest for productivity, many enterprises turn to technology as the ultimate solution. They add numerous softwares to their tech stack, in the hope that their employees will produce more work in less time. However, the reality is that technology is much more effective when it accounts for the human aspect of work and deeply understands the workflows it aims to improve.

Despite unprecedented access to technology, the US Bureau of Labor Statistics reported a sluggish 1.5% growth in productivity in recent years, underscoring the gap between technological adoption and actual productivity outcomes. For enterprise organizations, bridging this gap requires understanding the human element of work and leveraging technology that enhances, rather than hinders, the way people naturally operate.

Challenges of Traditional Productivity Enhancement Strategies 

To effectively enhance productivity, organizations must address these challenges by fostering a balanced approach that considers employee well-being, meaningful metrics, and a combination of extrinsic and intrinsic motivators. By doing so, they can create an environment that supports sustainable productivity growth and aligns with the company's goals.

Forrester's research, encompassing 30 companies and 811 employees, reveals critical challenges undermining traditional productivity enhancement strategies. Overwork, understaffing, and a focus on easily measurable metrics rather than true productivity indicators can lead to burnout, compromised work quality, and misguided resource allocation. Prioritizing extrinsic motivators while neglecting intrinsic factors like purpose and fulfillment can erode employee engagement and hinder productivity.

Misunderstanding the Role of Technology

Many leaders view technology as a universal solution to productivity challenges. Digital transformation initiatives aimed at enhancing efficiency often miss their mark by ignoring the human element – particularly how changes affect employees' interactions and daily tasks. However, true success comes from integrating technology with a deep understanding of employee needs and workflows. McKinsey emphasizes the importance of iterative transformations, advocating for a balanced investment in technology, processes, training, and change management.

Process intelligence exemplifies this holistic approach, leveraging data and technology to analyze and optimize business processes. Its key advantages include:

  • Data-Driven Insights: By harnessing data from diverse sources, process intelligence provides a comprehensive and objective view of processes, enabling informed decision-making and deeper understanding.

  • Unveiling Hidden Inefficiencies: Granular process data analysis helps pinpoint bottlenecks and inefficiencies that might otherwise go unnoticed, allowing for targeted improvements.

  • Empowering Informed Decisions: Process intelligence shifts the focus from intuition-based decision-making to data-driven insights, facilitating effective process optimization and resource allocation.

  • Continuous Improvement: By enabling real-time process monitoring and adaptation, process intelligence supports ongoing optimization efforts, ensuring processes remain aligned with evolving needs and goals.

AI-Powered Process Intelligence: Maximizing Productivity through a Holistic Approach

AI-Powered Process Intelligence revolutionizes productivity enhancement by providing a comprehensive, real-time view of business processes. It captures data on human activities and system interactions, offering insights into areas ripe for optimization, such as automation, operational excellence, and future-readiness.

Compared to traditional methods like process mining and task mining, AI-Powered Process Intelligence offers a more holistic, human-centric approach. It provides real-time, dynamic insights, end-to-end process understanding, and seamless implementation without the need for backend integration. It also excels at extracting insights from unstructured processes, providing significant benefits for sectors like finance and insurance, where such processes are prevalent.

By leveraging virtual agents that monitor desktop activities and capture data in real time, Process Intelligence platforms create a digital twin of an organization's processes. This encompasses not just the transactional aspects but also the subtler, often overlooked elements of how work gets done. This disruption has laid the foundation for more agile, responsive, and efficient business process management.

The impact of AI-Powered Process Intelligence on productivity is undeniable, with 88% of enterprise leaders planning to increase investments in this area. It influences productivity across multiple dimensions:

  • Provides process efficiency insights, highlighting areas for improvement

  • Identifies bottlenecks and inefficiencies, enabling targeted interventions

  • Offers data-driven decision support, facilitating informed resource allocation

  • Generates predictive insights, enabling proactive problem-solving

  • Customizes improvement suggestions, tailored to unique organizational needs

  • Identifies skill gaps and training needs, supporting employee development

  • Enhances engagement through transparency, fostering ownership and accountability

By leveraging AI-Powered Process Intelligence, organizations can gain a competitive edge and unlock the full potential of their workforce. Its continuous improvement capabilities and real-time process monitoring ensure that processes remain optimized and aligned with evolving goals, allowing companies to stay agile in a dynamic business landscape.

Employee Readiness for Monitoring: Balancing Benefits and Trust

Employees' acceptance of monitoring heavily depends on the perceived benefits and the level of trust they have in their organization. When monitoring clearly aligns with their personal and professional growth, employees are more likely to embrace it – such as technology that highlights career development opportunities and insights to enhance job performance.

By positioning monitoring as a tool for personal advancement and task simplification, organizations can motivate employees to willingly support and participate in monitoring initiatives. When employees see direct benefits, they are more inclined to accept and engage with these measures.

To address employee concerns and foster trust, a human-centric AI-Powered Process Intelligence tool like Skan is essential. Skan employs a privacy-first approach, meticulously designed to balance operational insights with stringent data privacy and employee rights.

Data Anonymization and Aggregation: Skan anonymizes sensitive data by replacing personal ensuring individual activities remain private while still providing valuable insights.

Compliance with International Data Protection Laws: Skan's methods align with GDPR, German Workers' Council laws, and US Call Center Labor Union laws and emphasize data minimization, purpose limitation, and the rights of individuals to object and access their data.

Worker Control and Access: Skan prioritizes transparency and worker control by providing access to anonymized data insights, implementing data subject request mechanisms, and offering opt-out options.

Data Security Measures: Skan employs encryption and granular access controls to protect data from unauthorized access, while audit trails enhance accountability.

Transparent Communication: Through detailed documentation, training, and regular forums, Skan fosters a culture of trust, ensuring all stakeholders are informed about data use.

By adhering to regulatory requirements, enhancing employee trust, and fostering a positive work environment, Skan delivers actionable insights for process optimization without compromising privacy. This approach ensures that employees feel secure and valued, leading to higher acceptance and engagement with monitoring initiatives.

Skan's approach to AI-Powered Process Intelligence not only prioritizes employee privacy and trust but also delivers tangible business results. By leveraging Skan's innovative technology, organizations can achieve significant cost savings, improve efficiency, and gain deep operational intelligence. Let's explore how Skan transformed workforce productivity for a leading PC industry innovator.

How Skan Transforms Workforce Productivity With a Human-Centric Approach

Skan helped a leading PC industry innovator achieve $2.2 million in OPEX savings. The company needed a better understanding of its core service processes to identify areas for improvement and achieve digital transformation. Skan implemented their process intelligence solution to:

  • Map core processes end-to-end while considering real human work actions and unit costing.

  • Analyze process variance patterns to identify areas for optimization and standardization.

This technology leader achieved:

Productivity Results Image

$2.2 million in OPEX savings: This resulted from identifying and eliminating inefficiencies and streamlining workflows.
  • 45% reduction in processing time: Standardizing activities and eliminating redundancy significantly improved efficiency.
  • Improved visibility into application usage: The solution revealed applications hindering work efficiency, allowing for potential replacements or adjustments.


    Skan recognizes the importance of a people-first approach that prioritizes both individual well-being and overall efficiency. Skan's unique approach to improving workforce productivity leverages AI technology while keeping the human element at the forefront: 
  • 360° view of operations: Skan provides a 360° view of your operations to expose hidden inefficiencies and bottlenecks across your entire workflow. 

  • Privacy-First Architecture: Skan prioritizes user privacy with its innovative privacy-first architecture. No personal data is ever collected or stored. All data processing happens on-premise within your secure environment, ensuring compliance with strict data privacy regulations like GDPR.

  • AI-powered Insights: Skan leverages AI and ML to reveal valuable insights you wouldn't find with traditional methods. Its AI engine analyzes vast amounts of data in real time to track hidden opportunities for improvement and predict potential issues before they arise. 

  • Continuous, Real-time Intelligence: Traditional methods only offer static snapshots of processes, but Skan provides continuous, real-time monitoring.

  • Unparalleled Speed to Value: Skan's services are designed for fast implementation and easy adoption. You'll start seeing the benefits of process intelligence quickly.

  • Deep Operational Intelligence: Move beyond simple process mapping with Skan's operational intelligence. Skan's AI digs deeper into your workflows to provide a complete understanding of how your processes impact Key Performance Indicators (KPIs). Optimize not just individual workflows but your entire operational ecosystem.

Now that you're familiar with AI-Powered Process Intelligence, it's time to leverage its potential to fast-track your transformation journey! Eager to witness its capabilities firsthand? Sign up for a demo today.

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