33-state workflow engine
Officers train across the full lifecycle, from application intake through post-approval monitoring, on simulated cases. Every state transition audited with an immutable hash chain so trainees learn a defensible process.
Your best credit judgement lives in a handful of people. LitFin puts the same standard on every file, in every branch: officers rehearse the appraisal from all three seats, the write-up is marked against your own policy floors, and after certification Mr. Mwikila stays beside them as they work. Built for Tanzania, expanding across East Africa.
Trainee accepted 0.92x cash-flow cover without flagging your 1.25x policy floor. Coaching note sent.
Only 4 of 6 months were on file. The simulation prompts the trainee to ask for the gap.
What LitFin changes inside a credit department: how the file is built, how consistently it is judged, and whether the reasoning survives a reading by someone who was not in the room.
Marks each practice appraisal against your own policy, surfaces the checks that were missed, and writes a coaching note before the next attempt.
Every appraisal is marked against the same LitFin rating model, so one file reads the same way on any desk and in any branch. Each result is versioned and stored with the exact model that produced it, so a difference shows up as a scoring gap you can point to instead of a difference in style.
AI runs the role-play and the marking, so your senior credit staff spend their time on the calls that need judgement instead of grading drills.
Your branded academy onboards each trainee. LitFin maps their starting competency against your own policy and builds an adaptive learning path.
Two to four AI coaching flags, written in your senior officer's voice, land on the card. Missed policy checks at the top. Skipped documents prompted for follow-up.
Pass, retry, or escalate to a human mentor. The officer authors the decision rationale themselves; anything Mr. Mwikila drafts is labelled as AI work and stored separately, and overrides are tracked. Competency progress writes back to your learning records, and after certification every officer keeps Mr. Mwikila, the AI Senior Banking & Finance Manager, beside them as they work.
“Our new officers used to learn on live files and hope. Now they practise the interview a dozen times first. Two coaching flags, one rationale, ready.”
Illustrative quote. Not a customer statement.
One conversation. No forms. We read your credit policy, we show you how every appraisal is scored, we put a cohort on your own cases.
What you get, named
Workflow engine, document AI, 5Cs framework, compliance and AML drills, treasury and FX practice, payments and operations drills, all as a simulator your credit, risk, compliance, and treasury teams master. All of it, today.
Officers train across the full lifecycle, from application intake through post-approval monitoring, on simulated cases. Every state transition audited with an immutable hash chain so trainees learn a defensible process.
Trade licence, financials, collateral valuations, KYC, CRB. Trainees practise auto-validation, expiry policies, and gap requests on simulated borrower files until the workflow is second nature.
Character, Capacity, Capital, Collateral, Conditions. Evidence read dimension by dimension, contradictions surfaced across sources with both values and both origins, practised on training cases so officers reason consistently before a real desk.
Your compliance teams rehearse KYC and customer due diligence, sanctions and PEP screening, and suspicious-transaction reasoning under the Bank of Tanzania, BFIA, and AMLA regime, all on simulated cases coached by Mr. Mwikila.
Your treasury desks practise spot, forward, and swap pricing, currency exposure and hedging, liquidity and balance-sheet management, and yield-curve reasoning as simulated scenarios, so judgment sharpens before a real position.
Your operations teams train on settlement and clearing, reconciliation and nostro management, RTGS and mobile-money rails, and payment-fraud controls through guided exercises, so operational resilience becomes second nature.