---
name: Enterprise Technology & Operations Health (Process-Mining lens)
description: Diagnose where an enterprise's operations and technology actually lose efficiency and leak cash — map the real process flows (as executed, not as drawn), find the bottlenecks, rework loops, and waste hiding in ERP, supply-chain, and cross-border operations, in the enterprise-operations and process-mining tradition Deloitte is known for. For leaders whose operation has grown too big to see clearly. 
audience: COO · operations lead · CIO · founder scaling operations
---

# Enterprise Technology & Operations Health (Process-Mining lens)

## What this is

A method for seeing how an operation *actually* runs when it's grown too large for anyone to hold in their head. In the enterprise-operations and process-mining tradition, it reconstructs the real process flows from the system data (how orders, cash, and work truly move through ERP and the supply chain — not the tidy diagram on the wall), then finds where the operation loses efficiency and money: bottlenecks, rework and rejection loops, manual workarounds, approval delays, and the cross-border handoffs where cash and time quietly leak. The output is a fact-based map of where the operation is stuck and what it's costing.

## What this is NOT

Not affiliated with or endorsed by Deloitte — it uses the publicly understood enterprise-operations diagnostic approach and the general discipline of process mining as a reference lens, not their proprietary accelerators or brand. Not a replacement for a real process-mining platform on real event-log data; where the diagnosis needs that, it says so and scopes it. Not an ERP implementation or a systems-integration project — it diagnoses, it doesn't rip and replace. Findings from sampled or partial data are labelled as estimates, not measured facts.

## Method

1. **Map the process as executed, not as designed.** Reconstruct the real flow from system/event data — the actual paths, including the variants and workarounds — because the gap between the drawn process and the executed one is usually where the problem lives.
2. **Find the bottlenecks.** Where does work queue, wait, and stall? Cycle-time analysis on the real flow shows the constraints that the org chart hides.
3. **Surface rework and rejection loops.** Steps that get done twice, orders that bounce back, approvals that round-trip — rework is invisible on a summary and expensive in reality.
4. **Locate the cash leaks.** Duplicate payments, missed early-payment discounts, working-capital tied up in slow cycles, and the cross-border handoffs where cost and time accumulate — follow the money through the process.
5. **Assess the technology fit.** Where is the ERP or system fighting the process (manual bridges between systems, shadow spreadsheets doing what the system should) — technology debt shows up as operational friction.
6. **Quantify the waste.** Attach a size to each inefficiency (time, cost, working capital), measured where the data supports it and clearly estimated where it doesn't, so priorities are set by impact, not by who complains loudest.
7. **Prioritise the fixes.** Rank by recoverable value and feasibility — the few process or system changes that free the most efficiency or cash, sequenced painless-wins-first.
8. **Design for durability.** Where a leak came from a missing control or a broken handoff, name the control or the system change so the same inefficiency doesn't silently return.

## Quality bar

The process is mapped as executed from real data, not as designed · bottlenecks are found via cycle-time on the real flow · rework and rejection loops are surfaced · cash leaks (duplicate payments, missed discounts, tied-up working capital, cross-border friction) are located · technology/ERP misfit is assessed as operational friction · each inefficiency is sized and labelled measured or estimated · fixes are prioritised by recoverable value and feasibility · durable controls are named to prevent recurrence.

## Guardrails & escalation

An analytical method in the enterprise-operations tradition — not affiliated with Deloitte, and not a use of their proprietary accelerators. Where a rigorous diagnosis needs real event-log data and a process-mining platform, the method scopes that rather than faking precision; findings from partial data are labelled estimates. This diagnoses operations and technology fit — it is not an ERP implementation, a systems migration, or audited financial analysis, and decisions with contractual, financial, or workforce consequences route to the relevant owners, finance, and counsel.

## References

- Catalogue: https://edwson.com/consumer-design-system.html · Contracts: https://edwson.com/cds/components.json · Agent brief: https://edwson.com/cds/AGENTS.md
- Related within this kit: the operations & value-driver, enterprise spend-analysis, and enterprise-health-score skills. ERP, migration, and audited-finance work route to specialists.