Multilingual digital humans for community and settlement services. Help people find support, understand next steps and connect with your staff.
Settlement providers, migrant resource centres, neighbourhood houses and community organisations.
Starting again in a new place can mean unfamiliar services, unfamiliar language and uncertainty about who to ask. A digital human offers a patient first conversation, while your staff remain available for personal support.
Introduce your service areas, opening arrangements and referral pathways. Explain who to contact without deciding whether someone qualifies for assistance.
“Where can I find help settling into my new community?”
Explain approved appointment preparation, location, accessibility and interpreter-request information. Direct personal circumstances to the responsible worker.
“What should I bring to my appointment?”
Introduce current language-learning, community participation and local connection programs from your reviewed directory. Provide verified contact details and participation steps.
“Are there English classes or community activities nearby?”
Offer the configured language options, explain interpreter and staff-contact pathways, and let the person choose how to continue.
“Can I get this information in my language and speak with a staff member?”
These examples show the kinds of conversations you can design. Content and service pathways are reviewed with your organisation.
“Where can I find help settling into my new community?”
Explain relevant services and how to contact the organisation.
“What should I bring to my appointment?”
Share the organisation’s approved preparation guidance.
“Are there English classes or community activities nearby?”
Help people explore the programs in your knowledge base.
“Can I get this information in my language and speak with a staff member?”
Offer the configured language options, explain interpreter and staff-contact pathways, and let the person choose how to continue.
A simple service journey, with people and trusted information at its centre.
A visitor opens your website or approaches a kiosk, chooses a supported language and sees a clear introduction to the AI assistant.
They ask by voice or text. The assistant can guide the pace and clarify what information they are looking for.
The assistant explains relevant information from your reviewed content and offers the configured link, contact or service pathway.
When the question is personal, outside scope or needs specialist judgement, the agreed route to staff remains clear.
Give each person a space to ask, repeat and explore routine service information. Bring the same reviewed knowledge to more interactions while your team focuses on personal support and specialist judgement.
Capacity, availability, language coverage and integrations depend on the agreed deployment. Review accessibility and user feedback as you expand.
Set a baseline and review agreed measures with staff and users. These are intended outcomes, not guaranteed results.
Ask people before and after a short trial how confident they feel finding the right service or contact.
Collect feedback on clarity, pace, language and whether the person knows their next step.
Review routine enquiries handled, appropriate handovers and staff time spent answering repeated questions.
Invite community representatives to shape wording, cultural fit, pace and service pathways. Review the experience with people who use different languages and have different levels of digital confidence.
Explore the community pilot and demonstration. Expected outcomes on this page are goals to evaluate, rather than claims of measured results.
Start with a focused trial or configure a product for deployment. Agree responsibilities and success measures before launch.
Choose the audience, service questions and a small set of outcomes. Map where staff should remain involved.
Review the character, language, tone and access needs with staff and representatives of the people you serve.
Review sources, permissions, update responsibilities and the assistant’s limits. Configure agreed channels and integrations.
Test routine questions, uncertainty, language and handover. Launch the agreed scope, gather feedback and refine before scaling.
Discuss your service boundaries and requirements with our team.
Co-design a calm, respectful experience with your team. Avoid assumptions or pressure to share personal experiences. The assistant can explain approved support pathways, while qualified workers handle trauma support, assessment and personal casework.
Yes. Agree the identity, pronunciation, tone and supported languages during setup, then test them with representative users. Availability depends on the selected product and configuration.
You provide the service knowledge and decide its scope. We agree content review, update ownership, response boundaries and how uncertainty is handled.
Agree what information is collected, where it is processed, retention periods and staff-contact routes. Introduce the assistant as AI and let people choose a human channel.
Yes. Choose a small service area, audience and set of measures, then review feedback before expanding. Products can also be configured for deployment when scope is agreed.
Choose a website, kiosk or other supported service channel. Chatbots and phone reception can complement a digital human when they better fit the task.
The assistant should acknowledge uncertainty and follow the agreed referral or contact pathway. Test these cases before launch and review them during operation.
Tell us about your community & settlement use case. Choose a preferred time in the enquiry form, and our team will confirm the session with you.