AI Automation Consulting

AI automation consulting identifies which manual processes in your business can be reliably automated with AI, then builds and deploys the systems. Marshall Tech has automated content production, customer support triage, reporting pipelines, and internal knowledge workflows for Australian businesses with an average of $20k/month in overhead saved.

Clients

Adapt Health, SportsBlock, True Protein

Range

A$10k to A$40k automation build

Result

$20k/mo avg. overhead saved

The gap between AI demos and production automation is where most businesses get stuck. See also AI consulting in Sydney, workflows and automation services, and AI strategy consulting.

What does AI automation consulting deliver?

Content automation for blogs, reports, summaries, and recurring publishing workflows.
Customer support triage that routes, categorises, and drafts responses automatically.
Reporting automation that pulls, transforms, and delivers data on schedule.
Workflow orchestration that connects systems, triggers actions, and handles exceptions.
Data pipeline automation for ingestion, cleaning, enrichment, and delivery.

Next step

Automate what slows your team down

Tell us which processes eat the most time. We will map the automation opportunity and quote a fixed-scope build.

Book a discovery call View pricing

Diagnostic sprintA$5k to A$8k

Avg. time to AI adoption2 weeks

Avg. overhead saved$20k/mo

Trusted by Adapt Health, True Protein, SportsBlock, KIKOFF, and UNDR CTRL

AI automation consulting vs alternatives

Option	Flexibility	Maintenance	Best for	Trade-off
AI automation consultant	High	Low	Businesses that want custom automation tied to their actual processes and stack	Requires clear process documentation and a scoping phase
RPA vendor	Low	High	High-volume, stable, screen-based processes with no variation	Breaks when interfaces change, cannot handle unstructured inputs
Off-the-shelf automation platform	Medium	Medium	Simple integrations and triggers between supported apps	Limited to platform connectors, weak on complex logic
Internal build	High	High	Teams with strong engineering capacity and time to invest	Slow to ship, competes with product priorities for engineering time
General AI consultant	Medium	Low	Broader AI strategy that may include some automation	Less depth on automation-specific architecture and deployment

Provenance

Last updated: 1 July 2026

Editorial owner: Nick Hugh

Grounded in Marshall Tech automation delivery data, named case studies with measurable overhead savings, pricing ranges, and published workflow automation guidance.

Proof sources on this site

Adapt Health case study

AI automation workflows in production with measurable admin-time savings.

True Protein case study

Automation and CRM rescue with 23 automations fixed and restored forecasting.

SportsBlock case study

AI-supported content automation inside a production platform build.

Pricing

Published ranges for automation builds and implementation work.

When should you hire an AI automation consultant?

Your team spends 10+ hours per week on repetitive manual tasks.
You need to scale output without proportional headcount growth.
Handoffs between systems are broken, slow, or error-prone.
You have tried off-the-shelf automation tools and hit their limits.

Frequently Asked Questions

The most common automation targets are content production, customer support triage and response, recurring reporting, data pipeline transformation, internal knowledge retrieval, and multi-step workflow orchestration. If the process is repetitive, rule-based, or high-volume, it is usually a strong candidate.

Most Marshall Tech automation builds start returning measurable value within 4 to 8 weeks of deployment. The average across engagements is $20k per month in overhead saved, though this varies by process volume and team size.

Yes. Marshall Tech builds automations that connect to your existing stack, whether that is a CRM, helpdesk, project management tool, data warehouse, or custom internal system. Integration is scoped during the discovery phase.

Every automation includes monitoring, alerting, and fallback logic. Marshall Tech offers post-launch support retainers, but the systems are designed to run reliably without constant oversight. You retain full ownership of the code and infrastructure.

RPA (robotic process automation) follows rigid scripts and breaks when interfaces change. AI automation uses language models, structured outputs, and adaptive logic to handle variation, context, and edge cases that RPA cannot.

Supporting resources