5
To remain competitive in today’s rapidly changing, tech-driven contexts, organizations must run cutting-edge process intelligence initiatives.
Manual process mapping is becoming obsolete, and rudimentary process intelligence software can’t compare with its more advanced AI-powered counterparts.
Companies that wish to level up at the pace of their peers must look to better, faster process intelligence tools that automatically gather up-to-the-minute data and generate insights.
Here, learn how to drive results with modern, AI-driven process intelligence initiatives. Make informed, data-backed decisions, and maintain a competitive edge to stay ahead of the pack.
What is process intelligence?
Process intelligence refers to the use of analytics to track and enhance business processes. Software monitors processes from end-to-end, pinpointing bottlenecks, redundancies, and other inefficiencies. AI-powered software, like Scribe Optimize, turns that data into valuable insights, suggesting opportunities for process automation or streamlined workflows.
Process intelligence is an umbrella term that encompasses processes like process mining, task mining, and workflow mining. Process mining looks at system-level data, task mining monitors user interactions (think: micro-actions, like keystrokes and clicks), and workflow mining maps how work really takes place.
When organizations use process intelligence tools to gather and analyze data, they make swifter, more informed decisions.
How process intelligence works
Process intelligence initiatives—from task mining to workflow mining—comprise four key steps.
- Data capture: In this stage, software captures raw data on how tasks, processes, and workflows play out.
- Integration: In this step, the software integrates the data pulled from task, workflow, and process discovery, generating a comprehensive view of how work actually gets done—from the smallest user tasks to the most wide-spanning workflows.
- Analysis: After integrating the data into process models, the software leverages artificial intelligence and machine learning to read and analyze the data, surfacing insights on bottlenecks and inefficiencies. Scribe Optimize recommends process optimizations, including ways to cut down on rework, redundant tasks, and lagging processes.
- Action: AI-powered suggestions in hand, you can make informed decisions on how to streamline work and resource use. As you implement solutions, the process intelligence software’s algorithms continually review tasks, processes, and workflows for further potential improvements.
Process intelligence vs. process mining
Process intelligence and process mining both relate to improving workflow efficiency, but process intelligence is a broader term.
Process intelligence is the high-level term for any efforts that rely on task, workflow, or process analysis to drive data-backed decisions for improving operational efficiency.
Process mining feeds into process intelligence. Specifically, process mining reconstructs event log data from business systems (like ERPs and CRMs), mapping it into flow charts that show how work truly runs, which sometimes deviates from the best-laid plans.
Benefits of process intelligence
Business leaders shouldn’t have to rely on gut instincts to make operational decisions. Process intelligence provides hard data that organizations can use to propose informed changes. Here are other key benefits:
- Real-time visibility: Process intelligence provides companies with up-to-the-minute data on work that teams are performing, so that they can quickly spot areas for improvement before widespread issues arise.
- Faster decision-making and problem-solving: Data not only helps teams make wiser decisions but faster ones, thanks to AI-driven workflow and process insights that take the guesswork out of the next best moves.
- Improved tech integrations: AI-powered tools, like intelligent automation, function optimally when integrated into agile workflows. When underlying tasks or processes aren’t running at their prime, even the best software will struggle to eradicate bottlenecks.
- Better resource allocation: Process intelligence software pinpoints resource waste and suggests solutions. It also leverages forecasting to predict what resources an organization will need in the future, so they can accurately project budgets and scope.
Limitations of process intelligence
Most process intelligence tools provide some degree of visibility into teams’ workflows, but they fall short on several crucial dimensions:
- Lack of actionable outcomes: Process intelligence initiatives are often limited to task and process mining, and while excellent at pulling raw data, they lack the analytical capacity to recommend improvements. However, advanced AI-backed tools, like Scribe Optimize, leverage machine learning to turn data into actionable, trackable change.
- Requires data readiness: Not all organizations have enough data to crunch. For example, traditional process intelligence software might not be able to discover reliable patterns without the wealth the data that comes from using CRMs, ERPs, and similar platforms. Scribe Optimize offers a solution by pulling information from multiple sources, including everyday web browser tools.
- Privacy concerns: Employees may be reluctant to adopt process intelligence software on the basis that it will monitor their work. But companies can put team members at ease by electing to anonymize data (so that it can’t be traced back to a single user) and by transparently stating what type of information the organization collects (so that users will know the company isn’t surveilling their every move).
Scribe Optimize is a human-centered process intelligence tool, ideal for teams that have questioned the efficacy of this software in the past and that are ready for a new kind of accessible but powerful digital transformation.
Industry uses cases for process intelligence
Process intelligence enables organizations to optimize work, especially in areas where teams traditionally perform slow, manual, or error-prone tasks. The following real-life use cases demonstrate the impact of process improvements on everyday work.
- Financial services: Process intelligence uncovers opportunities to automate compliance checks and time-consuming back-office tasks, like data entry.
- Insurance: AI process improvement tools gather massive amounts of data that improve risk assessment accuracy and help organizations detect fraud.
- Healthcare: Organizations can leverage process data to make informed decisions on streamlining patient flow and accelerating operational tasks, like scheduling and billing.
- Manufacturing: Process intelligence initiatives can suggest robotic process automation (RPA) opportunities and help companies discover bottlenecks in their current workflows that negatively impact productivity and product quality.
- Retail and e-commerce: Retail companies can automate steps of the customer experience process, like ticket handoffs, to speed up resolutions.
- IT: Process intelligence helps IT teams eradicate bottlenecks in complex development workflows and automate repetitive tasks.
How Scribe makes process intelligence actionable
Process data alone won’t drive change. Scribe Optimize integrates information from a range of systems and provides teams with actionable insights that drive real results. Here’s how Scribe Optimize excels.
- Automatic workflow capture: Scribe Optimize runs in the background of daily work, automatically and iteratively gathering data and analyzing the root causes of issues.
- Cross-platform insights: Scribe Optimize considers data from various sources, from CRMs to web browsers and applications, enriching data capture.
- AI-driven recommendations: Leveraging Workflow AI, Scribe Optimize drives suggestions on automation opportunities and workflow improvements to support your organization’s digital transformation.
- Continuous monitoring: Scribe Optimize analyzes key performance metrics (KPIs) after you introduce changes to your workflows, monitoring for success and recommending pivots. So, you never lose time or resources on imperfect implementations.
Ready to learn more? Find out how Scribe Optimize can transform your organization with continuous process and workflow improvement.
From visibility to continuous improvement
Process intelligence uncovers hidden data, helping teams understand the reality of their end-to-end processes and workflows.
In turn, business leaders can act on information and not on gut instincts, creating improvement roadmaps that actually work.
FAQs
How do data intelligence tools support process intelligence?
Companies shouldn’t just rely on in-the-field insights from stakeholders to determine where processes go off course. Instead, use software to collect and map raw business data, pinpointing process inefficiencies. Better yet, organizations that leverage AI tools gain accurate analytics and recommendations.
What are common use cases for process intelligence?
Common process intelligence use cases include performing compliance and risk management, automating processes, and boosting employee or customer experience. Process intelligence also reveals opportunities for streamlining workflows, like speeding up onboarding or invoicing by automating laborious manual tasks.
Do you need AI to use process intelligence?
Not all process intelligence tools are AI-driven, and they can gather and map information. But software must be backed by generative AI to offer insights and recommendations that support data-driven decision-making.
