It's globally proven that process-driven AI can greatly help organizations enable operational resilience, reduce financial and operational risks, catalyze automation, and enhance digital transformations.
But what are organizations' biggest process challenges?
These are some process challenges that your company may be struggling with:
Limited visibility into the details of processes and lack methods for tracking conformance against true processes, thereby reducing operational resilience and increasing reliance upon tribal knowledge to execute tasks
Operational Key Performance Indicators (KPIs) have historically been indirect, disjointed measures when correlating initiatives from “top floor to shop floor”
Difficultly in the ability to trend and view key activities at a system-level to determine which attributes are the root cause of rework, bottlenecks, and deviations
Lack of analytical framework and tools in today’s business transformation suites that can provide that holistic view of processes
Delays in necessary, but costly, digital transformation initiatives as ERP implementations
Ambiguous ROI and value delivery on automation opportunities that do not always deliver on their promised value due to upstream effects
How can Perceptif help resolve these business challenges?
Every organization undergoes business process improvement initiatives. A culture of continuous improvement is imperative in today’s dynamic landscape. Process discovery enables enhanced governance and oversight through unprecedented quality and speed to insights. Initiatives are no longer burdened by bias supporting visibility and RT feedback on as-is processes.
Gartner codifies five specific use cases for process mining:
Business Process Improvement
Auditing & Compliance
Operational resiliency is vital at both the process and systems level.
Beyond adaptability, organizations need the appropriate guard rails to mitigate operational and financial risk of their most critical activities. Process mining conformance techniques help auditing and compliance initiatives through complexity reduction, enhancement of organizational capabilities, and KPI development by comparing as-is processes to the intended design.
This allows the organization to understand how well they can handle disruptions to their process.
As we work amidst a global pandemic, digital transformations are at the forefront of enabling key strategic initiatives and, frankly, survival. Employees and consumers alike have adjusted to remote work and life. Process discovery enhances the impact of digital transformations by reducing implementation delays and risks due to misunderstood processes, manual routing, and process gaps.
Process mining enhancement techniques assess the value of process automation because they create visibility and understanding of hotspots where Robotic Process Automation (RPA) and task automation will deliver the most value.
According to QBR, using process mining during RPA implementation can increase the business value by 40%. At the same time, it reduces implementation time by 50% and project risk by 60%.
Process Mining Use Case: Deliver Value To Medical Equipment Service Provider
Process AI helps organizations reduce time to insight.
Historically, process improvement engagement activities included interviews, process mapping sessions, and supplemental quantitative analysis. Therefore, processes are induced based on qualitative interviews, inputs are biased, and mapping sessions serve as the primary process discovery mechanism.
The medical equipment services provider looked for a diagnostic session to validate their maturity and assess potential improvements. The company experienced significant increase in the time to insights through process discovery prior to the interview process.
Assess Process Improvement Readiness
The organization, first and foremost, must determine if they have sufficient internal process mining and data cleansing capabilities.
According to Gartner, 80% of the efforts and time are spent on locating, selecting, extracting, and transforming the process data. The time needed to apply process mining is short when the data are there.
Assuming your organization has sufficient process mining and data cleaning capabilities, it is important to determine the maturity across business processes and supporting systems.
Mature business processes mean the organization has standardized and documented processes that serve as the benchmark for conformance with clear inputs, outputs, and metrics.
Mature systems mean the organization has technology that support and track all activities. Measuring your organization along each scale will help dictate how ready the organization is for process mining insights or tools. Insights leverage process mining as an analysis tool to drive actionable value.
Leverage a process improvement framework to help organizations assess their readiness. It naturally follows the three primary use cases (business process improvement, audit and conformance, process automation) across the three techniques (discovery, conformance, and enhancements).
How Can Process-Driven AI Improve Your Business?
It is important to note that process AI initiatives do not require the adoption of process mining software.
Process mining is simply an effective tool that enables operational insights, better and faster.
Many vendors leverage process mining techniques to guide development of real-time operational dashboards providing provide visibility and guardrails for key stakeholders within the organization’s ERPs and CRMs. Dashboards tracked queues, bottlenecks, and key deviations for intervention.
How Can Process Mining Lead To Process Improvements?
Your perceived workflow may not be the reality in your operational processes. That is the hard truth that costs your business. Perceptif is a process mining, analytic & automation solution software that connects and tracks process performance to unlock excellence.
Perceptif is a process mining, analytic & automation tool that connects and tracks process performance to unlock operational excellence.