CockatooAutomation & AI agents
AI and automation for truck and bus repair specialists: start with a defined workflow, clear permissions and human review where it matters.
Automation & AI agents
In a busy heavy-vehicle workshop the phone rings with breakdowns and fleet bookings while your team is under a truck — an AI phone assistant can answer those calls, capture the vehicle, rego, fault and urgency, and book the job or flag a breakdown so nothing is missed. For fleet customers, automated booking and reminders for scheduled servicing and inspections keep their vehicles compliant and your bays full.
Automation also handles the admin that slows a workshop down — drafting quotes from job notes, chasing approval before parts are ordered, and following up on the 30 and 60-day invoices that fleet clients let run. It can send service-due reminders and request reviews once a job is complete, freeing your team to focus on the spanner work that earns the money.
Choosing a starting point
A starting workflow for truck and bus repair specialists could be routing specification enquiries, collecting quote inputs and tracking internal handoffs. 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 assistant can answer breakdown and booking calls while your team is on the tools, capture the vehicle and fault details, and schedule the job. It keeps you responsive to fleet customers who expect a fast answer when a truck is off the road.
Yes. It can send service and inspection reminders to fleet clients, follow up on quotes and 30 or 60-day invoices, and prompt for reviews after a job. That tightens your cash flow and keeps scheduled work coming in without manual chasing.
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.