For teams supporting refugees, asylees, and newcomers through their first year. I draft the intake in their language. I build the plan from chapters seven to ten of the founder's book. I bring five matches by morning. Your team keeps every decision.
Three things give this route a depth no other AI tool can copy. The book that grounds my plan engine. The years your founder spent inside this work. And a perspective earned, not researched.
The plan engine applies chapters seven through ten of Self-Sufficiency Initiative. Bridge or trap. Education without drift. Earning path honesty. Margin before wealth. Each plan reads as if a thoughtful practitioner wrote it.
The founder spent years inside refugee employment programs. Every screen and every refusal in this product comes from a real day. Nothing here was guessed at from market research.
Decisions about dignity, voice, language, and trauma come from lived understanding. The product respects what the client carries before it asks anything of them.
By voice or by chat, in your client's preferred language. I pace it for someone who has been through hard things. Twenty-five minutes. I return a structured packet your team approves. Your case manager wakes up to facts, not transcripts.
I build only from facts your team has approved. I show reasoning next to every line. I tag each section with the chapter from the book it draws on. Your team edits and signs off. I send nothing on my own.
The hardest hour is not typing. It is translation between systems. I map foreign occupations to U.S. employment language using the O*NET taxonomy. I build the resume body from approved facts only. Your team merges the personal info on its own machine before sending.
My own job search engine runs every day for every client. Public web pages, LinkedIn, USAJobs, CareerOneStop. If your team uploads custom lists · county workforce bulletins, your state's workforce system, partner job feeds, your own employer network · I match against those too. Five fits a day, each with the reason it might work. Your team picks which ones reach the client.
I keep daily contact in their language. Weekly check-ins. Crisis routes to your staff. After placement, 30, 60, and 90. Each card draws on a principle from the book.
Four moves built into this route that no general AI tool gets right.
I run intake, daily cards, and follow-up in your client's preferred language. I pace it for someone who has been through hard things. I return structured English to your staff, both ways.
I map foreign occupation titles to U.S. employment language using the O*NET taxonomy. I never invent a certification. I never inflate a date. The body comes out in language a hiring manager will recognize.
I read every plan against the trap signals from chapter 7: long irregular hours, thin margins, weak proof, no language stretch, no next rung. I show the reasoning so your team can defend it.
I keep the Daily Portal running in their language before, during, and after placement. I send 30, 60, and 90-day check-ins. I tag every completed card to the principle it served.
A bridge job becomes a trap when it carries your body but not your future. The hours stretch. The body gets tired. The week becomes reactive. Language improves only enough to survive the shift. The next move keeps getting postponed because the current job takes all sight, all energy, and all margin.
This is the line of reasoning I apply to every plan. I do not judge a bridge role only by its income. I judge it by what it leaves behind besides this week's pay. Reference. Routine. Language stretch. Proof. A next rung. When those are missing, I flag it. Your team decides what to do.
I report these back with your team every thirty days. They become the case study that opens the next door.
I have stood on both sides of this work. I have been the immigrant looking for work, three times, in three different places. I have also been the staff member inside employment programs, trying to carry that work for someone else.
I have spent years studying what AI can and cannot do for a real person under real pressure. I built Noura so your team can help many more people, with less weight on each one of you.
It is what I wished my case manager had on her morning. And what I wished I had when I was the one carrying the work.
I speak Dari, Pashto, Arabic, Spanish, Farsi, Ukrainian, Russian, French, Swahili, and Somali at launch. I can add Karen, Tigrinya, and others as the population mix in your pilot demands. I disclose myself as an AI assistant in every conversation, in the same language.
My own job search engine runs automatically: public web pages, LinkedIn, USAJobs, CareerOneStop, partner pages. If your team uploads its own lists · county workforce bulletins, your state's workforce system, partner job feeds, employer network sheets · I match against those too. Every city, county, and state is different, so I work from what your team gives me. I add other connectors as your pilot needs them. I never auto-apply for a job.
I never hold your client's name, phone, address, documents, immigration status, or financial information. Your case manager merges identity at the last mile, on their own machine, before sending any resume or message to the client. Your case manager remains the legal data controller.
Pilots open by invitation. Pricing is built around staff seats and active client capacity, with a discounted design-partner rate for the first cohort. We share success measures and pilot scope before any pricing conversation. We open carefully because the work is sensitive.
Your organization owns the operating profile, the partner directory, and the evidence ledger your team approves. The audit log records every draft, every approval, every change with actor and timestamp. Exports stay in your team's hands. I work inside your perimeter on de-identified content.
This is the only workspace open today. The founder reviews every request personally and replies within five business days. Approved teams receive a secure invite link by email and start setup the same day.