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Raw PDFs from 25+ official sources. No interpretation. Every result triggered a support call. Now users talk to a chatbot inside the app — "I need to check a domestic worker" — and it guides them through the entire process, then explains what matters in plain language. Delivered in 8 weeks.
NONO Soluciones operates the HunterX platform — a background-check service used by companies to verify employees, domestic workers, contractors, and tenants against 25+ official sources. Customers who bought the background-check add-on received raw PDFs with no explanation. A domestic service check needs different interpretation than an employment check, but the system treated all results the same. Every result triggered a call to support: "What does this mean? Is this person safe to hire?"
These are the operational bottlenecks that AI automation eliminates in a 2-week pilot.
Users couldn't understand their results — raw PDFs from official sources with no explanation. Criminal records, financial flags, employment gaps — all delivered as data nobody could act on. Every result triggered a support call.
No conversational interface — the platform was forms and tables. Users filled fields, uploaded files, waited. No guidance, no questions, no back-and-forth. High abandonment rates.
One-size-fits-all results — domestic service, employment, rental, and contractor checks all returned the same raw PDF. But what matters for a nanny is different from what matters for an employee or a tenant. Nobody highlighted the difference.
No WhatsApp access — the add-on was web-only. In a market where WhatsApp is the dominant business channel, the service was invisible to mobile-first users who needed it in the moment.
A conversational chatbot embedded inside the HunterX app client. Users talk to it like they'd talk to a person at a counter. "I need to check a domestic worker" — and the chatbot takes over. It asks the right follow-up questions. OCR captures the ID document from a photo. The authorization engine sends consent requests via email and WhatsApp to the person being checked, tracks the response, and notifies the user when consent is received. Payment validates against the plan balance and processes. Then 25+ official sources are queried simultaneously. When results return, the chatbot interprets them in plain language, specifically for the user's context — not raw PDFs. "For a domestic worker, here's what matters: no criminal record ✓, residence verified ✓. Full report available for 30 days." Users access the same chatbot via WhatsApp — same conversation, different device. Mass queries supported: "I have 10 people to check — here's the Excel." Behind the conversation: LangGraph manages the state machine, FastAPI runs the backend tools, GPT-4o-mini generates the natural-language interpretations, and n8n lets the client's team maintain workflows visually. Guardrails enforce neutrality. PII is redacted from logs. Full audit trail satisfies data protection requirements. Delivered in 8 weeks — 3 weeks prototype, 3 weeks full v1.0, 2 weeks production.
Every technology in this stack is production-proven across CAMTECH AI client engagements.
User opens web chat or WhatsApp → "I need to check a domestic worker" → chatbot asks questions → OCR captures ID from photo → authorization sent via email and WhatsApp to the person being checked → "This will cost X. Confirm?" → queries 25+ official sources → "Here's what matters: no criminal record ✓, residence verified ✓." The chatbot doesn't deliver PDFs. It has a conversation. In plain language. By use case.
Architecture diagram coming soon
Users understand background check results without calling support. The chatbot already answered the question they used to call about: "What does this mean?" Each result is contextualized by use case — domestic service, employment, rental, contractor. WhatsApp channel opened the service to mobile-first users who discovered the add-on on desktop but needed it on their phone, in the moment. Support tickets dropped by half because the chatbot replaced the confusion that created them.
Every CAMTECH AI engagement starts with a scoped 2-week pilot and a measurable outcome. Book a discovery call and we'll scope your first project.
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