Enterprise Automation / Process Mining

Discover Hidden Inefficiencies in Your Processes

AI analyzes your event logs to map how processes actually run vs. how they should run, revealing bottlenecks, variants, and automation opportunities you never knew existed.

Process map · Purchase-to-pay · 14,892 cases
Intended path
Actual path (32% of cases)
PO CreatedGoods ReceivedInvoice MatchedPayment PostedBottleneck
32% of cases follow unexpected path+18 days avg. delay
100%
Process visibility
Faster analysis
$2M+
Avg. savings found
90 day
ROI

Overview

What is AI process mining?

Process mining extracts event logs from your ERP, CRM, and operational systems and uses AI to reconstruct how your processes actually execute, not how your process documentation says they should. The result is an objective, data-driven map of bottlenecks, deviations, rework loops, and compliance violations, each quantified by frequency, cost, and delay. This gives you the factual foundation to prioritize and justify every automation investment.

What's included

Automated Process Discovery

Connect to any ERP, CRM, or BPM system and let AI reconstruct the actual process map from raw event logs, no manual interviews or process modeling required.

Conformance Checking

Compare actual process execution against your intended process model. See exactly which cases deviate, how often, at which step, and what the downstream cost is.

Bottleneck Identification

AI pinpoints the steps where cases queue, wait, or fail, ranked by total time lost and business impact. Focus improvement efforts where they matter most.

Variant Analysis

Group the thousands of unique paths cases take through your process into meaningful clusters. Understand why high-performing cases succeed while others stall.

Automation Opportunity Scoring

Every identified inefficiency is scored for automation potential, estimated effort, expected ROI, and recommended automation approach, so you can prioritize a backlog instantly.

Continuous Monitoring

Process maps update in real time as new events are logged. Set alerts when KPIs drift, throughput drops, cycle times spike, or new deviation patterns emerge.

Developer experience

Simple API. Powerful results.

Integrate in minutes with our SDK. Full TypeScript support, comprehensive documentation, and live examples for every feature.

process-analysis.ts
// Connect and mine your P2P process
$import { mine, discover, analyze } from '@solnix/process-mining';
$const result = await mine({
source: 'sap://P2P_EVENTS',
caseId: 'purchase_order_id',
activity: 'event_type',
timestamp: 'event_time',
dateRange: { from: '2025-01-01', to: '2025-06-30' },
$});
console.log(result.bottlenecks);
// [ { step: 'Invoice Matching', avgDelay: '4.2 days',
// casesAffected: 4847, estimatedCost: '$1.2M/yr' } ]
console.log(result.automationScore);
// { potential: 'HIGH', estimatedROI: '$2.1M', payback: '6 months' }

How it works

From setup to production

01

Connect

Connect to your source systems. SAP, Oracle, Salesforce, ServiceNow, or any database. We extract event logs without impacting production performance.

02

Discover

AI reconstructs the actual process map from millions of events in hours, not months. Every case is traced, every path is charted.

03

Analyze

Bottlenecks, deviations, rework loops, and compliance violations are identified and quantified. An automation opportunity backlog is generated automatically.

04

Act

Use the findings to prioritize automation projects, redesign processes, or trigger targeted workflow improvements, all with data-backed business cases.

01

Connect

Connect to your source systems. SAP, Oracle, Salesforce, ServiceNow, or any database. We extract event logs without impacting production performance.

02

Discover

AI reconstructs the actual process map from millions of events in hours, not months. Every case is traced, every path is charted.

03

Analyze

Bottlenecks, deviations, rework loops, and compliance violations are identified and quantified. An automation opportunity backlog is generated automatically.

04

Act

Use the findings to prioritize automation projects, redesign processes, or trigger targeted workflow improvements, all with data-backed business cases.

FAQ

Common questions

Related

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