Adding AI to an old system still leaves you an old system
Legacy systems were designed for a world where humans did the reading. Someone configured the fields, someone chased the missing data, someone hand-coded the open-ended answers months later. That is why implementations stretched into years and still couldn't say what worked — the bottleneck was people, and adding an AI feature on top didn't move it.
Sopact started from the opposite end. When AI can read, clean, and interpret every response as it lands, the entire workflow changes shape: collection, case notes, grant reviews, and portfolio tracking stop being data-entry chores and start producing evidence as a byproduct of the work. Impact measurement isn't a separate system you add on afterward — it becomes part of how the grant, the case, or the portfolio is managed in the first place.