12 May 2026
18 May 2026
What does workflow automation actually mean for LP teams?
We explore a concrete use case in this video. To make it tangible, we use an example every LP team will recognise: manager inbound screening.
A new manager reaches out with a deck, an annual letter, a performance summary, etc. The process that follows, reading, extracting, and referencing against your organisation's criteria, is manual, time-intensive, and heavily reliant on institutional knowledge that rarely exists in a single place (and often in a team member's head).
AI workflow automation addresses this directly. By reading and extracting key information from inbound materials automatically, and checking it against your organisation's codified criteria, the technology compresses what is typically a days-long triage process into a structured briefing delivered in minutes. Fit is flagged. Gaps are flagged. Where information is absent or incomplete, that too is surfaced, so your team knows exactly what to ask for before investing further time.
The result is not a replacement of investment judgement. It is the elimination of the manual groundwork that precedes it, so your team can focus on the decisions that actually require their expertise.
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