Workflow automation for Mechanics
A predictable trigger and next action, such as routing an enquiry or creating a follow-up task.
Check before committing: Connected systems, required fields, duplicate protection and failed-run alerts.
CockatooAutomation & AI agents
AI and automation for mechanics: start with a defined workflow, clear permissions and human review where it matters.
Automation & AI agents
A workshop phone rings while you are under a car, and missed calls are missed jobs. AI can answer enquiries, book services and quote standard jobs while your team is busy on the tools, and send rego and service reminders automatically to keep the bays full. It can also chase follow-ups after a job, prompt customers to rebook, and handle after-hours messages so the next morning's diary is already filling before you unlock the roller door.
Choosing a starting point
A starting workflow for mechanics could be collecting vehicle details, arranging a booking and sending service reminders. Map the current steps and time spent, then test one handoff before connecting the whole process. Keep specialist decisions and commitments with a person unless explicitly approved.
A predictable trigger and next action, such as routing an enquiry or creating a follow-up task.
Check before committing: Connected systems, required fields, duplicate protection and failed-run alerts.
Repeated questions about approved services, locations and how to contact your team.
Check before committing: Accurate source information, unanswered-question handling and human handoff.
A defined overflow or after-hours call flow with a reliable callback or transfer route.
Check before committing: AI disclosure, interruption handling, consent settings and transfer failures.
A narrow task that needs approved tool use or a choice between permitted steps.
Check before committing: Tool permissions, action logs, approval gates and a pause control.
Ask for setup, integration, usage and support costs separately, including limits for busy periods. Confirm data access, retention, monitoring and who maintains the service. A proposal should identify pilot milestones and the conditions for expanding or stopping.
Further reading: OAIC guidance on privacy when using commercial AI products.
Availability, pricing and timing depend on the project and provider. Agree the work in writing before committing; these guides do not promise a ranking, lead volume or saving.
Common questions
An AI phone or messaging assistant can answer common questions, take bookings and capture details when your team is on the tools. That means fewer missed calls turning into jobs lost to the workshop down the road.
Yes. It can automatically send service and rego reminders from your customer list, keeping the diary full and turning one-off jobs into repeat bookings without anyone having to remember to call.
Use rules when the input and next action are predictable. Consider AI for interpreting text or choosing between approved steps, with a way to check its work. Compare the maintenance and error handling of each approach before buying a platform.
Define which information is necessary, who can access it and where it is retained. Review the provider’s data handling and any use of inputs for model training. Start with approved public information or test data, and use a suitable secure process for sensitive records.
Record a baseline and test the agreed task, exceptions and human handoff. Review correctly completed work, mistakes, usage costs and supervision time. Expansion should depend on those results, with permission limits and a pause control retained.
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Email a brief describing the task and existing systems. Confirm availability and scope before committing; do not send passwords or confidential customer records.