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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.
Why it matters
Australian businesses lose an average of $30,000/month per team to manual data entry, duplicate systems, and broken handoffs between tools. Off-the-shelf automation platforms add another layer of fragility and vendor lock-in. The problem compounds: every new hire inherits the same inefficiencies, and the operational drag grows with revenue.
The solution
We start with a process audit: mapping every workflow that touches more than two systems or involves manual data transfer. Then we build custom endpoints and APIs tailored to your exact requirements. We are tech stack agnostic, building from the ground up to align with whatever systems you already use. Every integration is production-grade with proper authentication, error handling, and monitoring. We manage the hosting, uptime, and ongoing maintenance.
Results
A recent engagement automated a 23-step client onboarding process down to 4 steps, reducing onboarding time from 3 days to 4 hours. Another client eliminated $30k/month in operational overhead by replacing fragile third-party connectors with custom APIs we built and maintain.
Best for
- Businesses running multiple systems with manual data transfer between them
- Operations teams spending >10 hours/week on repetitive reporting or data entry
- Companies that have outgrown off-the-shelf automation tools or need enterprise-grade reliability
- Organisations wanting to scale operations without proportional admin growth
Not for
- Businesses with a single tool and no integration needs
- Companies wanting a custom ERP build (we integrate, not replace)
- Organisations that haven't stabilised their core processes yet
Frequently Asked Questions
We build custom endpoints and APIs from scratch rather than relying on third-party connectors. This means enterprise-grade security, no vendor lock-in, no per-operation pricing that scales unexpectedly, and integrations that don't break when platforms update their APIs. We own the code, manage the hosting, and handle issues directly.
The process audit takes 1–2 weeks. Implementation of the first automation runs 2–4 weeks depending on complexity. Most clients have 3–5 workflows automated within 6 weeks of engagement start.
We build with resilience in mind: enterprise authentication, error handling, retry logic, and monitoring. Because we control the integration layer, we can adapt to upstream changes without waiting on a third-party vendor. Critical workflows have alerting so issues are caught within minutes.
Yes. We are tech stack agnostic. Whether you use Salesforce, Pipedrive, Monday, Airtable, custom databases, or legacy systems, we build APIs and endpoints that connect them. We work with whatever you have and build integrations that fit your architecture.
Automation projects range from A$5,000–$20,000 for standalone workflow builds. Complex multi-system integrations range from A$15,000–$40,000. Ongoing hosting, monitoring, and maintenance retainers start at A$2,000/month.
Sources
- McKinsey: The Economic Potential of Generative AI(accessed 2026-02-15)
Related resources
See the proof, definitions, and adjacent routes behind this service.
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
Open resourceExpert
Nick Hugh
Nick Hugh, AI Expert & Fractional CTO at Marshall Tech, Sydney
Updated 9 Apr 2026
Open resourceExpert insight
On calculating automation ROI
The biggest mistake with automation is treating it as a technology decision. It's a financial decision. Hours saved times hourly cost minus automation cost equals monthly net value. If the payback is beyond 6 months, re-scope.
Updated 15 Feb 2026
Open resourceGlossary
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.
Open resourceInsight
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
Open resourceExpert insight
On data quality management strategy
It's 10x cheaper to prevent dirty data than to clean it after the fact. Validation at the point of entry: required fields, format masks, dropdowns instead of free text, automatic deduplication on create. Prevention over remediation.
Updated 8 Jan 2026
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