Deep Dive

Traditional Process Analysis

Organizations typically map processes through interviews, workshops, and documentation reviews. These approaches produce idealized views that rarely match reality. Problems include:

• Gap between design and execution: Documented processes diverge from actual behavior.
• Sampling bias: Interviews capture common paths but miss edge cases and workarounds.
• Point-in-time snapshots: Process maps become outdated as systems and behaviors evolve.

AI-Driven Process Mining

HASH enables continuous process discovery and optimization by analyzing the digital footprints left in enterprise systems.

Automated process discovery

By analyzing event logs from ERP, CRM, ticketing, and workflow systems, HASH reconstructs actual process flows — including all variants, loops, and exceptions — without manual mapping.

Conformance checking

The platform compares discovered processes against intended designs, highlighting deviations, compliance violations, and bottlenecks with precise metrics on frequency and impact.

Predictive optimization

Machine learning models identify which process variants lead to the best outcomes and recommend changes — from simple reordering of steps to structural redesigns — with estimated impact on cycle time, cost, and quality.

Implementation & Enhancement

Selecting A Solution

• Event log accessibility: Ensure source systems expose sufficient event data with timestamps.
• Process complexity: Choose tools that handle high-variant, exception-rich processes.
• Action orientation: Prioritize platforms that go beyond visualization to recommend changes.
• Continuous monitoring: Look for real-time process tracking, not just one-time analysis.

HASH provides an open-source platform for continuous process intelligence. Visit hash.ai or contact us to learn more.

Roadmap To Value

1. Extract event logs: Connect to source systems and establish event data pipelines.
2. Discover processes: Automatically reconstruct process flows and variants.
3. Analyze conformance: Compare actual vs. intended processes and quantify deviations.
4. Optimize: Implement recommended improvements and measure impact.
5. Monitor continuously: Track process health in real time and alert on regression.