See your workflows the way they really are, not the way you drew them on a whiteboard.
Gartner defines process mining as a technique for discovering, monitoring, and improving real processes by extracting knowledge from information systems event logs. The key word in that definition is “real.” Not assumed. Not documented five years ago by someone who’s since retired. Real.
Here’s the problem process mining solves. Most organizations think they understand how their procurement, accounts payable, onboarding, and permitting workflows operate. But there’s almost always a gap between what leadership believes is happening and what employees are actually doing day-to-day.
Map It Before You Automate It
You wouldn't renovate a building without blueprints. So why would you automate a workflow without knowing how it actually works? Process mining gives your agency an honest, data-backed picture of every step, shortcut, and workaround in your processes. It's the difference between automating what you think happens and automating what actually happens. And once you've nailed that, you can scale automation across departments without recreating the same inefficiencies in digital form.
Staff may be using workarounds to work around limitations in outdated tools. Employees across departments may complete the same task using different steps and applications. Legacy systems that can’t communicate with each other require repetitive data entry and manual file transfers. And institutional knowledge about why certain steps exist often lives in someone’s head rather than in any documented process.
Process mining closes that gap. It pulls event log data from your existing systems and reconstructs the actual sequence of activities, timestamps, handoffs, and decision points. The result is an objective, visual map of how work flows through your agency, complete with every variation, bottleneck, and detour.
How Process Mining Actually Works
From raw data to actionable insight, step by step.
The process mining workflow follows a clear sequence, and understanding each step helps government agencies plan their approach.
Step 1: Event Log Extraction. Every time someone creates a purchase order, approves an invoice, or updates a case file in your systems, that action generates a log entry. Process mining tools pull these event logs from your enterprise applications. Each entry includes three fields: a case ID (the transaction this belongs to), an activity name (what happened), and a timestamp (when it occurred). That’s the minimum data requirement, and most government systems already produce it.
Step 2: Process Discovery. The software analyzes those event logs and automatically reconstructs the actual process flow. It doesn’t start from a template or an org chart. It builds the process model entirely from observed behavior. This is where surprises happen. You may discover that what’s supposed to be a five-step approval is actually a twelve-step journey with three loops and a detour through email.
Step 3: Conformance Checking. Once you have discovered the process model, you can compare it against your intended process. Where do the two diverge? Are employees skipping required compliance steps? Are certain approvals happening out of order? In a state government procurement audit, conformance checks revealed that two agencies consistently completed invoice steps in the wrong sequence, a gap that manual audits had missed for years.
Step 4: Enhancement and Optimization. This is where process mining feeds directly into your automation strategy. The data shows exactly where delays accumulate, where manual handoffs cause errors, and which steps are candidates for automation. Instead of guessing which workflows to automate first, you have hard data on cycle times, rework rates, and processing costs to guide your priorities.
Task Mining and Task Capture
Process mining shows you the highway. Task mining shows you every lane change.
Process mining analyzes how work moves across systems and departments. But what about the work that happens between those system interactions? That’s where task mining comes in.
Task mining observes and records how individual employees complete tasks at their desks: keystrokes, mouse clicks, application switches, copy-paste actions, and time spent in each application. A desktop agent captures this data and uses AI to identify patterns and group activities into meaningful steps.
Think of it this way. Process mining gives you the bird’s-eye view of an end-to-end workflow. Task mining gives you the ground-level view of what happens within each step. Together, they create a complete picture that neither method could deliver alone.
Task capture is the technology that powers task mining. Software installed on employee workstations records user interactions and feeds that data into the analysis. Leading platforms now use AI-powered recording that can even capture voice narration alongside screen activity, automatically generating process documentation without pulling employees away from their work.
Why Process Mining Matters for Government Agencies
Because automating a broken process just gives you a faster broken process.
Government agencies face a specific challenge when it comes to automation. Workflows span multiple departments with different systems, compliance requirements add mandatory steps that can’t be skipped, and citizen-facing services demand consistency across every office and location.
Without process mining, there’s a real risk of building automation that mirrors existing inefficiencies. If your current permit review process routes applications through three unnecessary approval loops, automating that process just moves paper through those loops faster. You haven’t eliminated the waste. You’ve just digitized it.
Process mining prevents that by revealing the actual state of your workflows before you invest in automation. It answers critical questions: Where do applications sit waiting for action? Which steps create the most rework? Where are employees spending time on manual data transfers that an integration could handle?
One state government used process mining to review its procurement operations and discovered that data transfers between systems that were supposed to be instantaneous were actually taking seven days. Another state analyzed $4.5 billion in purchase orders within 12 weeks and found $93 million in IT purchases that had bypassed required CIO approval. These aren’t hypothetical scenarios. They’re real operational blind spots that manual audits and staff interviews simply couldn’t surface.
Two Approaches to Process Discovery
Low-tech interviews or AI-powered capture? Here’s when each one makes sense.
Government agencies generally choose between two approaches to process discovery, and understanding the tradeoffs helps you pick the right starting point.
Subject Matter Expert (SME) Interviews are the traditional approach. You sit down with the employees who do the work, watch how they complete their tasks, and document the steps. It’s low-tech, requires no software investment, and you can start immediately.
The drawbacks are real, though. Employees often skip steps they consider obvious when describing their work. Different staff members may describe the same process differently. In larger agencies, gathering and analyzing interview data can take months before any improvements begin. And you’re capturing perceptions of the process rather than evidence of it.
Integrated Process Discovery uses AI-powered mining tools to investigate processes automatically. Desktop agents record how employees interact with software, and the platform aggregates data across all participants, systems, and locations. Results include precise timing data, variation analysis, and direct connections to automation opportunity scoring.
The upfront investment in tooling is real. But agencies that use automated discovery consistently report completing their analysis in a fraction of the time. One local government documented 16 target processes using process mining in half the time it would have taken to manually map just four.
The smartest approach combines both methods. Deploy automated mining first to establish an objective baseline, then validate findings with targeted SME interviews. This way, your interviews focus on explaining specific anomalies rather than trying to reconstruct entire workflows from memory.
Building Automation That Scales
Start with one process. Build for fifty.
Here’s where process mining connects directly to your agency’s long-term automation goals. The intelligence you gather doesn’t just improve one workflow. It creates a repeatable framework for identifying, prioritizing, and deploying automation across the entire organization.
Process mining feeds directly into technologies like Robotic Process Automation, Intelligent Document Processing, and workflow automation platforms like Laserfiche. The data tells you which tasks are high-volume and rule-based (ideal for RPA), which involve unstructured documents that need AI-powered extraction (ideal for IDP), and which need end-to-end workflow redesign.
Platforms like UiPath’s Automation Hub take this a step further by letting agencies submit automation opportunities directly from the process mining interface. When a bottleneck is identified, it goes straight into a prioritized pipeline scored by potential impact and ROI.
Scalability depends on getting the foundation right. Agencies that start with a well-scoped pilot, typically in procurement or accounts payable, build internal expertise and executive buy-in before expanding to more complex workflows like permitting, licensing, or case management. That first pilot doesn’t just improve one process. It proves the methodology and creates a playbook for every department that follows.
The agencies seeing the strongest results treat process mining as a continuous practice, not a one-time project. After automation is deployed, process mining monitors performance, catches process drift, and identifies the next set of improvement opportunities. It becomes the feedback loop that keeps your automation investments delivering value over time.
Getting Started
Pick one process. Map it honestly. Then build from there.
If your agency is ready to explore process mining, start with a workflow that generates digital event logs and has clear pain points, like procurement, accounts payable, or public records requests. Involve your IT team and the staff who handle the process daily. And remember that the goal isn’t to judge how work gets done today. It’s to find the best path forward.
A process discovery consultation can help you identify the highest-impact starting point and build an automation strategy that grows with your agency’s needs.
Cut the risk, skip the busywork, and get the help you need. Get more good days done.