Train your consultants and analysts to mastery across the full banking and finance domain, then carry Mr. Mwikila, an always-on AI co-pilot, into every client engagement. Developers embed the same training and co-pilot into their own products. Built for Tanzania, expanding across East Africa.
POST /v1/enrollments
{
"track": "banking-finance-101",
"language": "sw",
"learner": { "ref": "l_2831" }
}{
"id": "enr_01HW...",
"status": "active",
"mastery": { "credit": 82, "risk": 74, "treasury": 68, "aml": 79 },
"copilot": "enabled"
}The breadth your analysts train on, the languages your clients work in, and the rails your product team builds on.
Credit, risk, compliance, treasury, capital markets, AML, ESG, payments. Your analysts train on the whole field, so the advice they carry to clients reasons from the full picture.
Lessons, role-plays, assessments, and replies render in the client's working language, one language per screen, never mixed. Your client teams learn in the language they think in.
Enrolment, mastery, and certification events flow over REST and webhooks into your product. You keep the surface and the client relationship; LitFin carries the intelligence.
Core curriculum and role-play across the full banking and finance domain, scored and tracked per analyst. Your bench trains on the same competency frame your clients are held to.
Implementation partners stand up client cohorts and observe mastery from one console. Developers connect the API and run enrolment to certification inside their own product.
Every consultant and every client team keeps Mr. Mwikila, the AI Senior Banking & Finance Manager, beside them as an always-on banking and finance co-pilot. He advises, teaches, and explains; he never moves money and never makes the real decision.
“We stopped handing clients a slide deck and started handing them a working academy. Our analysts train on the same rail our clients do, and the co-pilot walks into the room with us.”
Illustrative quote. Not a customer statement.
One conversation. We scope your delivery model, provision a sandbox tenant, and walk your team through a live enrolment on demo data.
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.