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Unlocking Value by Industry: Targeted Insights with Process Intelligence

We’ve covered the fundamentals of process intelligence, understanding the complexity of processes with process mining, capturing granular tasks with task mining, and fueling intelligent automation. If you missed them, catch up on our earlier blogs. Now, it’s time to show where the rubber meets the road: applying this power to drive specific, measurable value across major industries.

For Cognitio Analytics, the goal isn’t just to map a process; it’s to apply the right analytical lens to solve the most pressing objectives and challenges.

Why a Targeted Approach Matters for Transformation

Every industry has unique processes, regulatory burdens, and customer demands. A generic approach to streamlining operations is likely to miss high-impact opportunities. Process intelligence, especially when using a hybrid of process and task mining, delivers targeted insights that lead directly to strategic transformation in key areas like risk, customer experience, and core operations.

Here are a few specific, high-impact applications of process intelligence that we have discovered across the following industries.

1. Banking

The financial sector is burdened by legacy systems, complex compliance requirements, and intense pressure to digitize customer experiences

Rapid Loan Processing

  • The mortgage approval process tends to be slow, leading to high abandonment rates and lost revenue.
  • Process Mining visualized top 15 variants of the process, revealing that 40% of applications were routed to the wrong initial review team, causing a 3-day delay.
  • Implemented an automated pre-screening step and intelligent routing engine.
  • Reduced average loan processing time by 86% and improved customer satisfaction scores by 6 points.

 

New Customer Onboarding Process

  • The duration to open an account for a new customer showed great variation despite using the same systems and complying with the same regulatory requirements.
  • Analyzing the process variations with Process Mining not only provided a quantified benchmarking between branches but identified specific missing documents that contributed to higher cycle times.
  • Implemented clearer checklists, automated reminders and targeted trainings.
  • Reduced average duration from 3 days to same-day opening, which increased customer satisfaction scores and drove up the retention rate by 15%.
CASE STUDY

How a Mid-Size Bank Transformed Its Mortgage Origination Journey with Process Intelligence

Discover how Cognitio Analytics helped a financial institution streamline its mortgage operations, reduce processing delays, and improve customer satisfaction through advanced process intelligence.

2. Insurance

High human touch in claims processing leads to inconsistent service and high operational costs.

Claims Processing

  • Pinpointed manual, repetitive steps suitable for automation and standardization.
  • Used Task Mining on claims adjusters’ desktops to discover that 65% of their time was spent extracting data from PDFs and transferring it between three different legacy systems.
  • Automated the data extraction with intelligent OCR solution and transfer using RPA.
  • Achieved a 50% reduction in manual effort per claim and accelerated claims payout time, increasing adjuster capacity.

 

Applications for Personal Lines Property

  • Long turnaround times due to unbalanced workloads led to high customer dissatisfaction.
  • Task Mining unveiled that agents had to crowdsource information via Teams chats and spent a significant amount of time copying and pasting data between systems.
  • Automated document uploads and implemented a Mail Token Integration as well as a smart template system to reduce copy/paste activities and application switching by ~40%.
CASE STUDY

How Task Mining Reshaped the Property Claims Process for a Leading US Insurance Provider

See how Cognitio Analytics enabled a top insurer to streamline property claims, reduce inefficiencies, and build smarter workflows through task mining.

3. Health Care

Healthcare organizations must balance patient care quality with mounting administrative costs and complex billing procedures.

Patient Billing

  • Excessive rework and errors in patient billing led to high denial rates and delays in revenue capture.
  • Used Process Mining to map the Revenue Cycle Management (RCM) process to find where billing logic breaks down.
  • Discovered that 20% of claims were rejected due to incorrect procedure codes being manually entered by staff.
  • Reduced claim denial rate by 18%, resulting in a net increase in monthly revenue and faster payment cycles.

 

Clinical Operations

  • Nurses were spending excessive time on documentation and administrative tasks rather than patient care.
  • Identified and quantified manual, non-clinical tasks being performed by clinical staff.
  • Deployed Task Mining on nursing station devices to show that 2 hours per shift were spent on tasks like manually fetching lab results and updating patient charts across three disparate systems.
  • Increased direct patient care time by 15% and improved staff morale by removing frustrating, repetitive administrative work through data consolidation and automation.

4. Shared Services & Global Business Services

Shared Service Centers are built on the promise of efficiency, yet often suffer from process fragmentation, especially across different geographies.

Shared Services

  • The Procure-to-Pay (P2P) process had wildly varying cycle times and approval steps across five global regions.
  • Used Process Mining to overlay all regional P2P flows. Identified the best-performing regional process as the target. Used Task Mining to show exactly why the other regions deviated (e.g., specific manual reconciliation steps). Implemented the global standard with targeted automation of local variations.
  • Achieved a 45% reduction in compliance breaches and created a single, measurable global P2P process, improving leverage with suppliers.

 

Enterprise Process Transparency & Conformance

  • The process data of a global manufacturing operations isolated in multiple silos that cause significant manual reconciliation efforts.
  • Leveraged Process Mining to quantify the operational friction and build a business case for system consolidation and process standardization.
  • Implemented a unified data management platform that provides cross-system visibility and proactive tracking of process conformance.
  • Doubled order conformance to 80%, increased order line volume by 60% without additional headcount and reduced reconciliation efforts by over 30%.

Strategic Next Steps

These examples demonstrate that process intelligence is not a one-size-fits-all solution. It’s a precise diagnostic tool that, when combined with industry and process expertise, drives high-value, measurable results.

Ready to apply the power of process mining and task mining to your industry’s biggest challenges? Cognitio Analytics specializes in developing the right streamlining and transformation strategy to get you from insight to impact.