An end-to-end workflow for identifying, assessing and responding to donor-funded opportunities.
The work brings opportunity ingestion, categorisation, partner matching, bid/no-bid assessment and proposal preparation into a connected workflow. The objective is not simply to generate text with AI, but to make the surrounding decision process more structured and repeatable.
The pipeline connects structured data, classification and decision support with the human work of assessing opportunities and building proposals. This reflects a practical approach to AI: automate repetitive processing while retaining human judgement where context and accountability matter.
The current CV describes this as an end-to-end automated pipeline spanning ingestion, categorisation, partner matching, storage, bid/no-bid scoring and proposal generation. This case study deliberately does not claim quantitative outcomes that are not documented in the source material.