Why Most Proposal Workflows Take Too Long
One of the most practical ways I use AI in my business is for proposal creation.
This is one of those workflows where the time savings become obvious almost immediately.
Most people still build proposals the traditional way. They open an old Microsoft Word document or Google Doc, copy sections over, rewrite everything manually, fix formatting issues, double-check pricing, and spend anywhere from one to three hours trying to get everything polished enough to send.
I used to do the same thing.
Now, with the right AI workflow, I can usually get a strong first draft done in minutes instead of hours while still keeping the proposal personalized and thoughtful.
The important thing here is that AI is not replacing your expertise. It’s helping you organize and assemble information faster so you can spend more time thinking strategically and less time rebuilding documents over and over again.
Here’s how:
Step 1: Build a Master Proposal Template
The first step is building yourself a strong master proposal template. Go find one of your best old proposals. Ideally, choose one that actually closed successfully, explained your services clearly, and reflected your voice well. That proposal becomes your foundation.
Once you have it, upload it into ChatGPT, Claude, or your own BrandAI and ask the AI to convert it into a reusable template by removing client-specific information while preserving the structure and tone.
Here’s a simple prompt you can use:
“Please turn this proposal into a reusable proposal template. Remove client-specific details while preserving the structure, formatting, tone, and overall flow.”
Once you’ve done this, save that template somewhere accessible because you’ll continue reusing and improving it over time. Hint: if you’ve got Google Docs connected to ChatGPT or Claude, or you’re using Claude Cowork or OpenAI Codex, you can access that doc straight from your AI conversation.
Step 2: Feed AI the Right Client Information
When you’re ready to create a new proposal, upload the template into your AI tool and then feed it as much client information as possible. This is where most people underuse AI. They give it two sentences of context and expect magic. The better approach is to give it everything relevant.
Upload your discovery call notes, meeting summaries, emails, pricing ideas, pain points, goals, timelines, or even voice notes. In fact, voice mode works incredibly well for this process because you can simply talk through the situation naturally.
You can say something like:
“I met with a potential client today. Here are their pain points, goals, budget concerns, and what they’re trying to accomplish. Please update this proposal template while keeping the same structure and formatting.”
Then just start talking through the details as if you were explaining the client to an assistant.
This is where AI starts becoming genuinely useful in business.
Step 3: Edit the Proposal Inside the AI First
Once the proposal has been generated, I recommend editing it directly inside the AI platform before exporting it anywhere. ChatGPT Canvas works well for this, and Claude’s project interface works nicely too. Review everything carefully. Tighten up wording. Adjust the pricing language. Make sure the recommendations actually reflect your thinking.
This part matters because AI is good at structure and speed, but your judgment is still the most important part of the process.
One phrase I come back to often is: lead with your heart and finish with your brain.
At the beginning of the process, bring your expertise, experience, and perspective into the conversation. Then, once the AI has done the heavy lifting, use your brain to refine it and make sure it actually sounds like you. AI should support human expertise, not replace it.
Step 4: Use Markdown to Preserve Formatting
Now here’s the little workflow trick that saves an enormous amount of time.
Instead of manually copying and pasting the proposal text, use the built-in copy button inside ChatGPT or Claude. Usually there’s a small copy icon at the top or bottom of the generated document. That button copies the content in Markdown format.
Then go into Google Docs and use “Paste from Markdown.”
What happens next is kind of magical the first time you see it.
If your Google Docs styles are already configured with your preferred heading styles, fonts, spacing, and colors, the proposal automatically formats itself correctly. Your headings become proper headings. Your structure stays intact. Your formatting looks polished immediately.
Instead of spending another thirty minutes cleaning up formatting, you’re basically done.
Step 5: Use a Second AI to Review the Proposal
One additional step I strongly recommend is using a second LLM to review the proposal before sending it out. If I build the proposal in ChatGPT, I’ll often export it as a PDF and upload it into Claude or Gemini for a review pass.
Different models catch different things, and this has saved me from mistakes multiple times.
Review Prompt
I’ll use a prompt like:
“Please analyze this proposal for errors, omissions, inconsistencies, unclear language, or potential client concerns.”
The second AI often catches missing details, inconsistent terminology, unclear deliverables, or gaps in the agreement language that I might have overlooked. Then I simply take that feedback back into the original AI and ask it to update the proposal while preserving the formatting and tone.
Revision Prompt
From there, I copy from Markdown one final time, paste it back into Google Docs, export the PDF, and send it.
What used to take several hours can now realistically take fifteen to twenty minutes depending on complexity.
Final Thoughts
And again, the point is not to automate your thinking away. The point is to remove repetitive work so you can spend more time focusing on strategy, clarity, and relationships.
That’s where AI becomes valuable. Not when it replaces humans, but when it helps humans work better.