Insight

How to Estimate Automation ROI: A Practical Framework

Automation ROI is calculated by comparing the cost of automation (build + maintain) against the value of time saved, errors eliminated, and throughput gained. A well-scoped automation project typically pays for itself in 2–4 months. The key is targeting processes that are high-volume, rule-based, and currently handled by expensive human time.

Updated 26 Feb 2026

Service

Workflows & Automation

Marshall Tech builds custom workflows, APIs, and automation for Australian businesses with manual handoffs, broken connectors, or duplicated data. We map the process, design the integration layer, and ship monitored automation that reduces admin load, improves reliability, and removes vendor lock-in from critical operations.

Updated 26 Feb 2026

Insight

Data Hygiene Guide: Getting Your Data AI-Ready

Data hygiene is the practice of ensuring your business data is accurate, consistent, complete, and accessible. It's the prerequisite for AI implementation, reliable automation, and trustworthy reporting. Businesses with poor data hygiene waste 20–30% of employee time on manual data wrangling and get unreliable results from any AI or automation tools they deploy.

Updated 26 Feb 2026

Glossary

Automation ROI

Automation ROI measures the return on investment from workflow automation projects. Calculated by comparing time/cost savings against implementation costs, it typically considers labour hours saved, error reduction, and speed improvements.

Expert

Nick Hugh

Nick Hugh, AI Expert & Fractional CTO at Marshall Tech, Sydney

Updated 9 Apr 2026

Case study

UNDR CTRL: Simplifying the Platform & Bringing It In-House

UNDR CTRL needed a partner to help simplify their existing platform, build out some new features, and move away from their previous development provider. Marshall Tech worked closely with the team over several months to tidy up the codebase, ship new functionality, and hand over a cleaner, more manageable product.

Updated 21 Mar 2026