Process improvement & automation

Stop doing
work twice.

Fix inefficient processes and automate work that should not require repeated manual effort. This is what NoRework means.

Before — manual workflow

Eight steps. Multiple handoffs.
Every step is a chance for error.

EmailSpreadsheetCopyApproveRe-enterChaseUpdateReport
After — automated workflow

Five steps. One trigger.
Exceptions only.

TriggerValidateWorkflowException reviewDone
Signs of a broken process

Six signs your team
is doing work twice.

01

The same task is done by multiple people

02

Information is re-entered into multiple systems

03

Reports are built manually every month

04

Approvals take longer than the work itself

05

Work is repeated because of errors or miscommunication

06

Nobody owns the process end to end

The NoRework principle

Simplify. Standardise.
Then automate.

Do not automate a broken process exactly as it exists. First simplify. Then standardise. Then automate. Automating a bad process just makes waste faster.

01 →

Simplify

Remove unnecessary steps, handoffs and complexity before anything else.

02 →

Standardise

Define a single, consistent way the process should work.

03

Automate

Only then automate the simplified, standardised process.

What should be automated?

Six signals
to look for.

If work fits any of these patterns, it is a candidate for automation. We find it, map it, and remove it.

Repetitive
Rule-based
High-volume
Error-prone
Cross-system
Time-consuming
FAQ

Process Improvement — Questions & Answers

Process improvement is the structured redesign of how work gets done so it is faster, clearer, more consistent and less wasteful. It normally starts by mapping the current process and identifying delays, duplication, errors and unnecessary handoffs.
Look for repeated manual work, duplicate data entry, excessive approvals, long wait times, recurring errors, unclear ownership and reports that require manual assembly. Measure time, volume and error rate where possible.
The best candidates are repetitive, rule-based, high-volume, time-consuming and relatively stable. Avoid automating a process that is fundamentally unclear or poorly designed.
AI process automation combines workflow automation with AI capabilities such as classification, extraction, drafting or decision support. The AI should serve a defined process and measurable outcome, not be added simply because it is fashionable.
No. Automating a bad process usually scales the waste. Simplify the process, standardise it, define exceptions and controls, then automate the parts that no longer need human effort.
Useful measures include cycle time, labour time per transaction, error rate, rework, number of handoffs, throughput, backlog and cost per unit of work. The right metric depends on the process.

Where is your team doing work twice?