Pair your curriculum with AI role-play as practicum. Students practise real cases across credit, risk, compliance, treasury, and markets, and every assessment explains its why. Employers meet judgment, not only a transcript. Built for Tanzania, expanding across East Africa.
Grace priced the currency exposure well but missed the liquidity check. The feedback walks through the why, step by step, and queues the next practice case.
Graduates arrive at institutions with theory but without practice-grade judgment. LitFin builds that judgment while they are still on campus.
Students interview a simulated client, appraise the case, and defend the call. The AI runs the scenario and the marking, so faculty coach judgment instead of grading scripts.
No black-box grades. Each score traces to the checks a student made or missed, in Swahili or English, and the student can interrogate the reasoning in chat.
Not one narrow module. Students train across the whole banking and finance domain, so their first interview meets judgment they have already rehearsed.
Faculty map their course units to LitFin's competency frame. Each cohort gets an adaptive path that runs beside coursework, in Swahili or English, on any handset.
Between lectures, students work real cases: interview a simulated client, appraise the file, defend the call before a committee. Every attempt is scored instantly, with the reasoning attached.
Mastery builds, assessment by assessment, into a finance-readiness track the student carries into interviews. It is the same system institutions run, where Mr. Mwikila, the AI Senior Banking & Finance Manager, stands beside every professional as a co-pilot on real cases.
“Our graduates left with theory and met practice for the first time on the job. Now they defend their first case in a role-play, long before an employer asks.”
Illustrative quote. Not a customer statement.
One conversation. We map your course units, tailor the practicum, and show a cohort training on real-world cases.
What LitFin is, concretely
Not a chat bolted onto a spreadsheet. Mr. Mwikila reads the file, rebuilds the cash flow behind thin records, reads collateral at what it would realise here, raises the questions a credit committee will raise, and writes the reasoning out step by step. He supports the credit decision. Your institution still makes it.
Deepest on credit appraisal: the 5Cs, the cash flow behind the numbers, collateral at local realisation, conditions, and the questions a credit committee will ask. It carries risk, compliance, FX and treasury, capital markets, investing, AML and financial crime, collections and recoveries, ESG, and payments in the same mind, because the same file raises all of them, and it shows the working at every step.
Connects every simulated case, officer, and document so trainees see how real portfolios are reasoned about, with grounded answers in natural language and citations they can interrogate.
Surfaces default-rate, approval, and portfolio-risk trends on simulated training data, with the drivers behind each prediction laid out plainly. Officers learn to read the signals before they face a live book.
Defense in depth: your data is walled off per organisation, encrypted at every step, and every sensitive action is logged to a record that cannot be quietly changed.
Native Swahili and English speech, both ways, with high accuracy. Works on feature phones via staged call and USSD, so no team is left out.
Officers practise against the systems an institution actually runs: core-banking, mobile-money rails, payment processors, credit-reference bureaux, and central-bank reporting, all exercised against simulated data.