IBM Process Mining

IBM Process Intelligence

Your processes run two ways. The designed way, and the real one.

IBM Process Mining reads your system event logs and reconstructs how work actually moves, surfacing every variant, bottleneck, and deviation from the designed path. At Salient, we implement it as the discovery foundation that determines where automation belongs before a single sprint starts.

4 Weeks

to Findings

15+

Years Gold Partner

600+

Projects delivered

Process analyst reviewing event-log data and dashboards

Platform Capabilities

What IBM Process Mining does.

Process Mining reads the actual evidence. It ingests event logs from your ERP, BPM, CRM, and case management systems and reconstructs how work moves, every variant included. The output is a process map built from data, not interviews.

Process Reconstruction
  • Event Log Analysis: Ingest event data from any enterprise system and reconstruct exactly how work moves from start to finish, every variant included.
  • Variant Identification: Every unique path a case takes through the process surfaces as a distinct variant, ranked by volume and cost.
  • Conformance Detection: Mining compares actual process behavior against the designed path and quantifies the gap by frequency, cost, and root cause.
Bottleneck Intelligence
  • Activity-Level Detection: Where time, cost, and rework concentrate surfaces as activity-level data. Each bottleneck is measured: cases, days added, cost per year.
  • Root Cause Analysis: Mining identifies not just where work stalls, but why. Specific activities, teams, time periods, and routing logic all appear in the data.
  • Exception Quantification: Exception volumes, rework loops, and SLA breach patterns surface with case-level detail before designing a fix.
Automation Roadmap
  • What-If Simulation: Proposed process changes run against a digital twin. ROI is quantified per automation opportunity before any sprint starts.
  • Prioritized Roadmap: A ranked list of automation candidates with ROI simulation attached, based on measured bottleneck cost and automation readiness.
  • Blueworks Live Integration: Mining findings feed directly into IBM Blueworks Live for future-state process design and governance of the automation roadmap.
Analyst reviewing process performance dashboards on a laptop

Capabilities

What’s inside

Real engagements where mining surfaced what interviews and process reviews had missed.

FCT · Salient Process

33% Rework no one could see  ·  48 days Cycle time they thought was normal

Procurement Approval Loop, IBM Maximo: Leadership called it a capacity problem. The approval queue was backing up and the assumption was that the team needed more bandwidth. Mining of IBM Maximo event logs told a different story. One-third of all cases were looping back at the same step, a structural flaw in the approval design that had never surfaced in any meeting or process review. The bottleneck wasn’t headcount. It was a loop no one could see until the data showed it.

Energy & Utilities

Large Government & Technology Services Org

4 stages Discovery that drove the build · Live BAW Production, not a pilot

Mining of IBM Maximo event logs surfaced a structural flaw in the approval design. One-third of cases were looping back at the same step, invisible in every prior process review until the event data made it undeniable.

Government

FCT · Salient Process

$80M Found in two quarters · 17% → 37% Eligibility gap, closed

Mining applied to financial operations surfaced exactly where cash flow was leaking: specific steps, specific volumes, specific costs. In under two quarters it delivered $80M in total impact, and the findings expanded the program to three new domains.

Defense & Federal

Process Patterns by Industry

Find your process. See what mining reveals in it.

These are the highest-value process mining analyses we run by industry. Each one surfaces a specific type of bottleneck, deviation, or waste pattern that interview-based discovery routinely misses.

Financial Services

Wire Transfer and Payment Exception Flow

Mining surfaces which exception types are being resolved quickly and which are aging. SLA breach timing, approval path length, and dual-control routing gaps all appear as data, so you see exactly which exceptions are the capacity problem before any automation is designed.

Typical finding: 15% of exception types driving 60% of SLA breaches

Loan Origination Variant Analysis

Mining maps every path a loan application takes from submission to decision. Rework loops, re-request cycles, and routing detours surface as quantified bottlenecks. Teams see not just that cycle time is long, but exactly which activity is adding the most days and why.

Typical finding: 30-40% of applications looping at document intake, adding 10+ days per case

KYC and Onboarding Cycle Time Analysis

Mining reconstructs the onboarding journey from application to account activation. Wait times between screening, verification, and system provisioning become visible. Teams learn which steps they assumed were fast are actually where most accounts stall.

Typical finding: 70% of onboarding delay concentrated in 2 system handoff steps

Regulatory Reporting Conformance Check

Mining compares actual report assembly steps against the designed process to find where manual workarounds have become the de facto standard. Deviations that create audit exposure show up in the data, not in a workshop where no one volunteers that they’ve been doing it differently.

Typical finding: 20-30% of reporting cases deviating from the compliant path

Also available: Insurance, Healthcare, Manufacturing, and Cross-Industry pattern sets.

Know where the waste is before you build anything.

Salient’s Process Mining engagements connect directly to your automation roadmap. You get a prioritized list of automation candidates with quantified ROI before a single workflow is modeled.

Why Salient Process

When the data exists, we go first.

For clients with accessible event log data, Salient deploys IBM Process Mining as the discovery foundation before automation is scoped. We use it to validate the process model built in IBM Blueworks Live and to rank automation candidates by measured impact, not perceived impact. Salient is a 2025 IBM Partner Plus Awards Geography Winner for North America.

Process truth before automation

We baseline your process from event log evidence before configuring a single workflow. Automation is built on what’s real, not what was assumed.

Outcome-proven delivery

KPIs are locked before any engagement starts. Every mining engagement closes with a decision-ready roadmap, executive-validated and fundable.

Governance built in from day one

Mining findings feed into IBM Blueworks Live governance. Every process we automate is documented, governed, and defensible from the start.

Deep IBM ecosystem knowledge

15 years of Gold Partner experience across BAW, CP4BA, and watsonx. We know the mining toolchain and what comes next on the automation roadmap.

Your Process Mining Questions, Answered

Common questions about IBM Process Mining.

The real questions from COOs, CFOs, and CIOs evaluating Process Mining for the first time.

What data does Process Mining need, and do we have it?

Process Mining works from event logs: timestamped records of activities associated with a case ID, pulled from your ERP, BPM, CRM, or case management system. Most enterprise systems produce this data automatically as a byproduct of normal operations. Salient’s first step in every mining engagement is a data readiness assessment: we confirm what logs are available, at what granularity, and whether the event data is sufficient to reconstruct the process variants you care about. If you run SAP, Oracle, Salesforce, IBM BAW, or ServiceNow, you almost certainly have the data.

How is this different from process mapping workshops?

Workshop-based process mapping produces a documented version of how your team believes the process runs, or how it was designed to run. Process Mining produces a data-driven reconstruction of how it actually runs, based on system evidence. Workshops capture institutional knowledge, edge cases, and policy intent. Mining captures actual volumes, timing, variants, and conformance gaps. Salient uses both: workshops inform the process model, mining validates and sharpens it. When they disagree, the data wins.

How long does an engagement take before we see findings?

For clients with clean, accessible event logs, Salient can deliver an initial process reconstruction and bottleneck analysis within two to three weeks of data access. A full analysis with variant deep-dive, conformance check, simulation, and prioritized automation roadmap typically completes in four to six weeks. The timeline depends on data quality, the number of processes in scope, and the complexity of the system landscape we’re pulling from.

Does Process Mining replace the need for process design workshops?

No. Mining tells you what is actually happening. Workshops tell you what was intended and what the team knows about exceptions, edge cases, and policy rationale. Salient uses mining to validate and challenge the workshop output. When a process map drawn in a workshop diverges from what the data shows, mining wins. The two tools are most powerful together, and for clients with the event log data to support it, Salient combines IBM Process Mining with IBM Blueworks Live to validate the process map end to end.

See your processes exactly as they run.

In 60 minutes, Salient’s Process Mining specialists review your existing event log landscape and scope a discovery analysis.

Salient Process specialist reviewing an event-log landscape

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