Automate the work. Not the relationship.
Better preparation should make communication more human, not less accountable.
AI distributor outreach for a travel startup.
An internal system that finds, assesses and contacts distributors, freeing five people from work that had filled their weeks.
- Sector
- Travel startup
- Client
- A growing travel startup. Name withheld.
- Scope
- Internal system for distributor research, assessment and outreach
The situation.
The company grew through distributors: agencies, operators and resellers in the markets it wanted to reach. Finding them, checking whether they were a fit and making first contact was done by hand.
Five people spent a large part of their week on it. They searched directories and websites, copied details into spreadsheets, judged each distributor against criteria that lived mostly in their heads, and wrote outreach one message at a time.
What we built.
Distributor research
The system gathers candidate distributors for a target market and pulls their public details into one consistent record.
Assessment against agreed criteria
The team wrote down what makes a good distributor. Each record is scored against those criteria, with the reasons shown next to the score.
Drafted, reviewed outreach
First messages are drafted from each distributor’s details. A person reviews and approves before anything is sent.
One shared pipeline
Every distributor, its assessment and its contact history sit in one place the whole team can see.
What changed.
- Five people were freed from the research, assessment and first-contact work.
- Assessment follows written criteria instead of individual judgement calls.
- The team spends its time on the conversations that follow, not the lists that come before them.
The system took on the searching and sorting. The relationships stayed with people.
Details are shared with the client’s agreement. The client’s name is withheld.
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