AI USE CASE
Agency Pitch Deck Auto-Assembler
Automatically builds client pitch decks by matching case studies to the prospect's industry and challenge.
What it is
The system indexes a creative agency's existing case-study library and uses semantic search to select and arrange the most relevant slides for each new pitch. Account directors describe the client's vertical and core problem, and the tool assembles a first-draft deck in minutes rather than days. Teams pitching 10+ prospects per month can recover 20–30 billable hours monthly.
Data you need
A structured or semi-structured library of past case studies and pitch decks, ideally tagged by client industry, service type, and outcome.
Required systems
- project management
- none
Why it works
- Assign one person to curate and tag the case-study library before and after launch.
- Set a minimum viable library threshold (e.g. 20 well-tagged case studies) before going live.
- Keep a human review step so account directors refine tone and remove sensitive references.
- Integrate the tool into the existing pitch workflow rather than running it as a parallel process.
How this goes wrong
- Case-study library is too small or inconsistently formatted, producing irrelevant or repetitive slide selections.
- Staff skip the tool and revert to manual assembly because the output requires too much cleanup.
- No one owns library maintenance, so new projects never get added and the index goes stale.
- The tool surfaces confidential client work in pitches where it should not be shared.
When NOT to do this
Don't build this if the agency pitches fewer than five new clients per month, the setup and curation effort will outweigh the time saved.
Example vendors
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