Hope For Ukraine

An always-on supporter colleague, in eighteen languages, without adding a single hire.

How a humanitarian non-profit in the middle of an active conflict reclaimed ten hours of staff time every week, scaled to 500 plus supporter conversations a month, and met donors in the language they actually speak.

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Hope For Ukraine volunteers distributing aid

10 hours a week returned to deep donor work

500+

supporter conversations a month, on one agent

15%

of conversations in a language other than English

Hope For Ukraine is a humanitarian non-profit working through an active war. Their team coordinates donors, volunteers and people searching for help across multiple time zones and languages. Every unanswered message is a missed chance to move money, supplies or people toward someone who needs them.

Routine questions were eating the team's week.

A staff member working through supporter messages

Donors asked how their contribution was used.

Volunteers asked about safety and logistics. Community members asked where to find aid. The same questions, every day, in different inboxes, answered by hand. The deeper donor conversations kept getting pushed.

The website was a brochure, not a conversation.

Support did not arrive in one language.

One surface that mattered, done properly.

Rather than do AI everywhere, the team picked the website. The agent was scoped to a narrow slice of repeatable supporter questions, trained on approved content, and built with human oversight from day one. It had to be five things.

Omnichannel Agents

Always on

Picks up every visitor in seconds, regardless of time zone.

Omnichannel Agents

Multilingual by default

Engages supporters in their own language, not a translation.

Conversational Intelligence

Boundaried.

Answers only from approved knowledge. Where the answer is not in the verified content, it admits it does not know rather than guess.

Workflow Orchestration

Empathy-shaped.

Carries the tone a humanitarian non-profit needs, not the tone of a sales bot.

Workflow Orchestration

A strategy partner.

Every conversation becomes a signal the team can read.

Before Zigment · After Zigment

Before, routine questions arrived as scattered emails. After, the team gets ten hours back every week for the work only humans can do.

USE CASE

The paid lead

Before Zigment

The routine question Scattered across inboxes

With Zigment

Absorbed at the first touch

USE CASE

The social comment

Before Zigment

The website A static brochure

With Zigment

A live conversation

USE CASE

The website question

Before Zigment

The language barrier Impossible to staff

With Zigment

Eighteen languages, by default

USE CASE

The customer's history

Before Zigment

The team's week Lost to repetition

With Zigment

Ten hours back

The numbers a development team would notice.

Ten hours back every week, moved to deep donor work and sensitive coordination.

500+

500 plus conversations a month on the website alone, with instant response at any hour.

15%

Eighteen languages met at the moment of intent, fifteen percent of conversations in a language other than English.

Takeaways

The first win is reclaimed time, not magic. A focused agent absorbs the questions your team already answers by hand every day. That alone returns real hours.

Conversational volume is real, even at small organisations. Zoomed out to a month, the volume is meaningful, and the cost of leaving every half-formed question unanswered compounds quietly.

Multilingual support is part of the baseline, not a future upgrade. For a global mission, treating language as a feature rather than a baseline loses supporters at the moment of intent.