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From reading the call, to the table of contents, to reverse-engineering the scoring table, to the eight-minute pitch script. Taught by someone who has actually won these.
Public contracts are not won by the best-written proposal. They are won by the proposal that is easiest to score. The scoring table is already printed in the call — yet most proposals are written in an order that has nothing to do with it.
This course covers the whole sequence: extracting the scoring table from the call, working backwards from the heaviest-weighted items to a table of contents, and writing a pitch an evaluator can follow in eight minutes. Not how to write well — how to write so that points come out.
It works best as a workshop where you bring an actual RFP and build the table of contents and the scoring map on the spot.
Across the applications I saw while running the 2025 Gyeonggi Generative-AI Public-Data Startup Competition, points were lost in almost exactly the same places.

The deductions that come up again and again from evaluation panels under four Korean ministries, and the places where the scoring sheet actually separates applicants. A checklist to read before you write.

The items that actually lose points from the evaluation seat across four ministries, disclosed as they are. Take 15 minutes before you write your business plan.
We lay out the 12 reasons people hesitate to join, and the team builds its own answer to each one.
↗FundraisingWe take the 22 reasons investment committees actually reject deals as the attack list, and pair each with one of the 12 slides in the IR deck as the defense.
↗Public GrantsThe items that actually lose points from the evaluation seat across four ministries, disclosed as they are.
↗Open Innovation대·중견기업과 CVC 80곳 이상에 연결하고 PoC 30건을 성사시킨 과정을 협상 국면 그대로 풀어냅니다.
↗Business ModelDissect real company cases to find the weak points in your own BM.
↗MarketingPick one channel instead of adding more. You leave with the spend and the success test written down as numbers.
↗AI AdoptionNot a tool tutorial — the criteria for deciding which tasks AI belongs on, which to leave alone, and the structure that makes it stick.
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