CockatooAutomation & AI agents
AI and automation for panel beaters & smash repairs: start with a defined workflow, clear permissions and human review where it matters.
Automation & AI agents
A smash repair workshop fields constant enquiries — quote requests, booking questions and customers chasing updates on their car — all while the team is heads-down on repairs. Simple automation can answer enquiries, capture vehicle and damage details, and book assessments, so a quote request is not lost because the office was flat out when it came in.
AI tools can also send status updates to customers as their car moves through the workshop, confirm bookings, and chase quote approvals and overdue accounts automatically. That cuts the phone calls chasing progress, keeps customers informed, and frees your team to focus on the repairs that pay the bills.
Choosing a starting point
A starting workflow for panel beaters & smash repairs 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 automated assistant can capture quote requests and damage details, book assessments and answer common questions around the clock, so enquiries are not lost when the office is busy. It frees your team to work on cars rather than constantly answering the phone.
Yes. Automated status updates as a car moves through the workshop cut the steady stream of customers ringing to chase progress. Automated quote-approval and invoice reminders also keep jobs moving and cash coming in.
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.