CockatooAutomation & AI agents
AI and automation for solar power system installers: start with a defined workflow, clear permissions and human review where it matters.
Automation & AI agents
AI and automation can handle the heavy enquiry flow a solar business attracts. An AI assistant can answer website and after-hours questions about system sizes, rebates and rough pricing, qualify the lead by roof type and energy use, and book a site assessment. Automated quote follow-ups, rebate-paperwork reminders and post-install review requests keep your pipeline moving and your reputation growing without your team manually chasing every contact.
Choosing a starting point
A starting workflow for solar power system installers could be turning a new job enquiry into a callback, site visit and follow-up quote. 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
Yes. Solar attracts a lot of price-shoppers, and an AI assistant can qualify enquiries by roof, usage and budget so your team focuses on serious buyers. It answers common rebate and pricing questions instantly and books site assessments without a missed call.
Automated follow-ups keep your quotes in front of customers comparing options, which lifts conversion in a competitive market. After install, automated review requests build the local reputation that drives your next round of trusted leads.
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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