Process Intelligence Blueprint

How to find and eliminate every hidden process leak in your operations

A practical 5-phase framework used by European B2B organisations to recover 15–30% of operational capacity through AI process mining — without exposing a single byte of data to a third party.

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What organisations typically recover

15–30%
of operational capacity lost to invisible bottlenecks
48 hrs
to surface the first quantified process leak
€180k+
average annual staff-time recovery on first fix
6 wks
typical payback period on first automation

The blueprint follows five sequential phases. Each phase is executable on your own infrastructure — sovereign by design, never requiring your data to leave your environment.

1
Discovery — Week 1

Extract & map your actual process event logs

Most organisations have documented processes that bear little resemblance to what actually happens. Phase 1 extracts raw event logs from your existing systems (ERP, CRM, ticketing, BPM) and reconstructs the real flow.

  • Connect to existing data sources — no custom instrumentation required
  • Generate a process graph showing every actual path, variant, and exception
  • Identify the 3–5 highest-frequency deviations from the intended flow
2
Quantification — Week 1–2

Attach a financial value to every bottleneck

Raw process deviations are invisible until they have a number attached. Phase 2 calculates the cost of each bottleneck in staff-hours, cycle-time days, and direct revenue impact.

  • Median and 95th-percentile throughput times per process variant
  • Rework rates: percentage of cases that loop back through completed steps
  • Waiting time vs. active processing time breakdown
  • Annualised cost estimate per bottleneck using your headcount rates
3
Root Cause — Week 2

Trace each leak to its structural cause

Bottlenecks have causes. Phase 3 uses conformance checking and decision-mining to identify why deviations happen — not just where.

  • Conformance checking: map real flow against your documented process
  • Decision point analysis: identify which attributes predict rework or delay
  • Resource analysis: flag individuals or teams acting as capacity chokepoints
4
Automation Playbook — Week 3

Generate a prioritised fix list with ROI for each item

Phase 4 produces a ranked list of interventions — from simple rule changes to full RPA/AI automation — with effort estimate, expected recovery, and payback period for each.

  • Quick wins: process rule changes or approval threshold adjustments (0–2 days)
  • Medium effort: RPA automation of repetitive handoff steps (1–3 weeks)
  • Strategic: AI-assisted decision points that eliminate entire exception loops
5
Continuous Monitoring — Ongoing

Close the loop with a live process intelligence layer

Process leaks return unless the underlying flow is monitored continuously. Phase 5 deploys a lightweight monitoring layer that alerts when throughput times or rework rates cross thresholds.

  • Automated conformance alerts: notify when the real process diverges from target
  • KPI dashboard embedded in your existing BI tooling or as a standalone view
  • Quarterly process review cadence with updated bottleneck scoring

Built for European regulatory requirements

GDPR — data never leaves your environment AI Act — full audit trail on all AI-assisted decisions NIS2 — process documentation as a compliance artefact DORA — operational resilience mapping included Sovereign on-premise or private cloud deployment

See Phase 1 applied to your processes

Free 30-minute audit. We identify one real, quantified process leak within 48 hours. No commitment, no data leaves your environment.

Request your free audit →