All work

AI agents that find water-treatment tenders in languages a team cannot read

Water treatment for heavy industry · multi-million revenue, deliberately small team

The situation

The company was entering new countries where nobody on staff spoke the language well enough to read a tender notice — and the work it sells is only ever announced in local tender notices and investment news.

What was built

A platform of four AI agents feeding one CRM. The first reads each market for water-treatment scopes attached to large industrial investment projects. The second screens every find for sanctions exposure, blocks what fails and keeps watching what passes. The third verifies contacts and finds the person who actually owns the problem. The fourth opens the conversation, by email and by messenger, in the local language. Staff and agents work the same CRM; a Power BI dashboard shows the pipeline.

The result

More than 100 relevant leads in the first three weeks, in markets the team could not read a month earlier. Relevant is a strict word here: a person inside the company checked each one by hand, and the prospect replied.

AI agents · Sanctions screening · CRM with an open API (Attio) · Power BI

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