Draft better RFP responses with your team’s own playbook.
This is an example of the kind of dedicated model teams can build with AI Distillery: one tuned on approved proposal language, qualification logic, and deal context so sellers start from a strong draft instead of a blank page.
Category
Revenue Operations
Ideal Team
Sales, solutions, and revenue operations teams
Outcome
Faster proposal turnaround with more consistent messaging and less manual rework.
From idea to
deployed model
Capture winning proposal examples, reusable answers, and approval rules.
Generate a focused dataset around common RFP structures and buyer objections.
Fine-tune a dedicated drafting model for your tone, offer structure, and review process.
Deploy it into your team workflow so every response starts from a usable first draft.
What this model
can do
Draft from internal precedent
Ground responses in the language and structure your team already trusts.
Stay on-message
Reflect approved positioning, differentiators, and response patterns across deals.
Reduce review cycles
Give reviewers a stronger starting point so edits focus on deal specifics, not full rewrites.
A natural fit
for this workflow
Your data, not generic templates
The model learns from how your team actually answers, not generic internet-style proposal copy.
Designed for practical deployment
The output is meant to slot into real proposal workflows, approvals, and handoffs.
Turn this example
into your model
Fine-tune on your own standards. Your team's patterns become the model.