Impact report generator
60-page donor narratives drafted in under 4 seconds. Beneficiary counts, SDG tags, regional splits, outcome metrics. You edit, not write.
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Learner counts, SDG tags, regional splits, outcome metrics, cohort forecasting. Full traceability from learner to outcome. Your M&E officer edits the voice, not the facts.
Trained 1,847 learners across 6 regions in Q2. Median 14 lessons completed. Course completion 91%.
Each learner built skills for a specific enterprise. 412 graduated to advanced credit literacy. SDG 4, 5, and 8 aligned.
Not opinions. Not stories. The specific evidence your funders need to release the next tranche.
Learner counts, lessons completed, competency rates, regional splits. Written in the voice your donor expects.
Every lesson tied to a named learner, an enterprise, and a completion record. Audit-ready by default.
SDG 1, 4, 5, 8, and the rest. Your M&E officer clicks approve. The report writes itself.
Training, savings, and credit-readiness tracked in one record. Swahili-first on their phone. English-first on your dashboard.
Phone, USSD, or classroom. Every lesson logged against the learner, the cohort, and the funder.
Quarter-end, a draft narrative lands in your director's inbox. Numbers from the training records. Stories from the field notes. You edit the voice, not the facts.
“We used to spend a week on quarterly narratives. LitFin Training gives us a draft in seconds. Our funder asked us how we got so fast.”
Illustrative quote. Representative of pilot feedback; not a disclosed customer statement.
Built for development finance
Impact reports, beneficiary graph, PDPA compliance, cohort forecasting. Evidence trails to the individual data field.
60-page donor narratives drafted in under 4 seconds. Beneficiary counts, SDG tags, regional splits, outcome metrics. You edit, not write.
Every person served is a node. Longitudinal tracking across programs. Cohort comparison across regions and interventions.
Tanzania PDPA compliant. Per-funder audit exports. Evidence trails down to the individual data field.
AI proposes interventions based on cohort readiness scores, identifies gaps, simulates budget impact before you commit.
Teach your teams how revolving funds work: loans, repayments, and recycling rate, modelled in a simulated environment so staff understand the mechanics blended-finance partners expect.
Predict graduation rates, drop-off risk, and impact-per-dollar per program. Temporal graph network with confidence intervals.
One conversation. We map your logframe, we ingest your training records, we show you a draft narrative on your own numbers.