Pacific AI and SearchLab: from website enquiry to organised follow-up.
A customer asks a question. Someone needs to respond, keep the context and follow up. This case study explores how our websites and private portals could reduce the work between those steps, showing both what is available and what is still being completed.
A website enquiry needs a clear next step.
Pacific AI’s current contact form prepares an email in the visitor’s email app. The visitor must send it themselves. It does not yet save the enquiry automatically in our operations dashboard.
Our goal is to remove that extra handover, capture the context consistently and make it clear who needs to respond.
What is available, and what is still being completed.
Public websites
PacificAI.nz presents our training and audit services. SearchLab has its own website and offer. Each business keeps its identity and customer journey distinct.
Visit SearchLab →Private operations
Pacific AI has a private operations dashboard with contact and conversation registers. SearchLab has a separate portal. These are private working spaces, not public customer directories.
Integration in progress
The Pacific AI website assistant and automatic website-to-dashboard connection have been prepared but are not active on this public site. The full enquiry journey still needs configuration and testing.
Answer, record and hand over.
The intended flow is for a visitor to ask a question, receive an answer grounded in approved business information, and have their enquiry recorded for follow-up. Questions about quotes, availability or matters outside the approved information should go to the team.
Client services would coordinate follow-up, with Scott, our solution architects or developers involved according to the enquiry. This describes the intended process, not a currently available website feature.
See where an enquiry creates extra work.
Follow a sample enquiry through the proposed process: what could be answered from approved service information, what needs a person’s judgement and how to keep the details together. The aim is less retyping and a clearer next action for the team.
A sample question might be: “Can you train our operations team?” The useful next step is to establish group size, current experience and the work they want to improve—not to invent a price or promise a date. Demonstrations should use fictional records and identify any simulated steps.
Explore the practical AI workshop →Building a feature is only part of the job.
Our experience highlights the importance of connecting the public form, secure access and private records before describing the journey as automated. Clear wording also matters: visitors should know whether they have submitted an enquiry or only opened an email draft.
We have not published verified conversion gains or time savings. Once the connection is tested, we plan to measure enquiry completion, response time, record accuracy and the follow-up needed from our team.
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