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With compressed response windows, Tyler built tools that allow them to produce first drafts of solution plans, storyboards, and summaries within 24 hours. These tools enable rapid kickoff and pursuit planning.
“If we get two weeks to respond, the goal was to run the entire plan through GPTs... have a draft solution plan, storyboard, and approach ready in under 24 hours.”
Storyboard GPT would “The goal was I should be able to run the entire plan through these GPTs and have a starting point... including a draft of the storyboard.”
✏️ Key Capabilities:
Analyzes the RFP and previously mapped proposal content.
Generates a proposed outline of the deck (sections, messaging points).
Suggests standard Oracle solution storytelling components (e.g., deep dives, assets, success stories).
Highlights which assets or messaging should be used based on RFP keywords and historical mappings.
Outputs are used to create the narrative structure for the proposal deck.
“It gives you an outline of like, ‘Hey, the Oracle practice always has some version of these five to six sections...’ It looks at how the RFPs are written, previous mappings, and gives a new outline with suggestions.”
Value
Description
🚀 Speed
Enables faster start to proposal development, especially under tight 48–72 hour timelines.
📋 Structure
Ensures consistency in messaging and proposal architecture across Oracle pursuits.
🔁 Reusability
Leverages patterns from prior successful pursuits to guide new responses.
🎯 Focus
Frees up time for architects to focus on technical solutioning vs. narrative framing.