Do we need a process mining platform?

Not necessarily. For a single process we often build the analysis in SQL and Power BI at a fraction of the licence cost.

What data do you need?

A case ID, an activity name, and a timestamp. Most ERP, CRM, and ticketing systems already log all three.

How much improvement is realistic?

Thirty to sixty percent cycle-time reduction is common on processes that have never been measured, mostly from removing waiting time rather than working faster.

Will this cost people their jobs?

Typically it removes waiting and rework rather than headcount. We're clear about what the analysis shows either way.

Service

Workflow Optimization

We measure how your process actually runs — from system timestamps, not from a workshop whiteboard — then remove the steps costing you time.

Every company has a documented process and a real one. The documented version is linear; the real one has rework loops, waiting time, and three approvals that were added after an incident in 2019 and never removed.

Process mining reads the timestamps your systems already record and reconstructs what actually happens: how long each step takes, how often work bounces back, and where cases sit idle. It turns process improvement from opinion into measurement.

From there we prioritise: eliminate, simplify, then automate — in that order, because automating a bad process just makes it fail faster.

Problems this solves

What we usually walk into

Quote-to-cash takes weeks and nobody can say which step is the bottleneck.
Rework is invisible because the system only shows the final state.
Automation was added but cycle time didn't improve.
Different teams run the 'same' process in materially different ways.

Technologies

What we build with

Process mining toolingAlteryxPower AutomatePythonPower BISQL

Industries that benefit

Manufacturing
Insurance
Healthcare administration
Construction
Professional services

Implementation process

How the engagement runs

Event log extraction

Pull case, activity, and timestamp data from the systems that already record it.

Process discovery

Reconstruct the real process map, including variants, rework loops, and idle time.

Bottleneck analysis

Quantify waiting versus working time and the cost of each delay.

Redesign

Eliminate and simplify first; automate only what remains and is worth automating.

Measure and sustain

A monitoring dashboard proves the change held after the project ended.

Sample screens

What the finished work looks like

Representative layouts using demonstration data — client work is never shown without written permission.

Process map

Variants

Happy path

38%

Rework

19%

Process map

Real activity flow with volume and duration on each path.

Cycle time trend

Before

21 days

After

9 days

P90

14 days

Cycle time trend

End-to-end duration before, during, and after redesign.

Waiting vs working

Waiting

72%

Working

28%

Touches

Waiting vs working

Where the time actually goes across the process.

Illustrative example

How a workflow optimization engagement typically plays out

Anonymised scenario · not a verified client record

Building products manufacturer

Challenge

Quote-to-order averaged 21 days and sales blamed engineering while engineering blamed credit. Nobody had numbers, so the argument repeated at every monthly meeting.

Solution

We mined event logs from the ERP and CRM, reconstructed 47 process variants, and showed that 72% of elapsed time was queue time — most of it waiting on a credit check that could run in parallel rather than in sequence.

Result

Reordering two steps and automating the credit pre-check cut average quote-to-order to nine days without adding headcount.

Illustrative figures

21 → 9 days

Quote-to-order

72%

Time found in queues

Added headcount

This is a composite illustration of the scope, approach, and range of results this service is designed to deliver. It does not describe a specific named client, and the figures are demonstration values rather than audited outcomes. We're happy to talk through real references under NDA on a call.

Deliverables

What you receive

Discovered process map with variant analysis
Bottleneck and rework quantification
Prioritised improvement backlog with effort and value
Implemented automations for agreed steps
Ongoing cycle-time monitoring dashboard

FAQs

Questions we get asked

Do we need a process mining platform?: Not necessarily. For a single process we often build the analysis in SQL and Power BI at a fraction of the licence cost.
What data do you need?: A case ID, an activity name, and a timestamp. Most ERP, CRM, and ticketing systems already log all three.
How much improvement is realistic?: Thirty to sixty percent cycle-time reduction is common on processes that have never been measured, mostly from removing waiting time rather than working faster.
Will this cost people their jobs?: Typically it removes waiting and rework rather than headcount. We're clear about what the analysis shows either way.

Related services

Often scoped alongside this

Alteryx Workflow Automation

Codeless data workflows replacing hours of manual prep.

View alteryx workflow automation

AI Automation

LLM agents that draft, extract, classify, and triage.

View ai automation

Executive Reporting

C-suite reporting cadences and narratives that drive action.

View executive reporting

Talk through your Workflow Optimization project

A 30-minute call is usually enough to tell you whether this is a two-week fix or a two-month build — and roughly what it costs.

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