Let me walk you through what a typical workflow integration looks like for a small travel advisory team, so you can see how the pieces fit together.
Take the client email workflow. Currently, each advisor drafts their own emails, in their own style, at their own speed. The quality varies. The time spent varies. The voice is not always consistent with the agency’s positioning.
With AI integration, the workflow changes to this. The team has a shared prompt library with tested email frameworks for each stage of the client cycle: enquiry response, proposal follow-up, booking confirmation, pre-departure, post-trip. The team context document ensures the voice is consistent. Each advisor has their own client projects with the specific client detail loaded.
When an advisor needs to draft a pre-departure email, they open the client project, use the shared pre-departure email framework, fill in the placeholders with the details specific to this client and this trip, review the output through the two-tier verification process, and send it. The email arrives in the client’s inbox sounding like the agency, reflecting the specific relationship, and produced in a fraction of the time.
The advisor’s expertise has not been replaced. It has been redirected: from the production of the email to the quality of the client detail that goes into it and the editorial judgement that reviews what comes out. That redistribution of effort is where the value sits, and it applies across every workflow you integrate.
