The proposal process is where most agencies leave money on the table. Not because the work is bad, but because the proposal itself does not land. It is too generic, too slow, or too focused on what the agency does rather than what the client needs.
AI changes this. Not by writing proposals for you, but by making every proposal sharper, faster, and more tailored to the prospect sitting on the other side.
The old way is costing you pitches
Most agencies use a template. They swap out the client name, adjust the scope section, and send it off. The problem is that prospects can tell. When every proposal reads the same, none of them feel personal.
The agencies winning right now are the ones using AI to:
- Research the prospect before writing a single word. Feed an AI tool the prospect’s website, recent press, and social presence. In minutes, you have a brief on their challenges, language, and priorities.
- Tailor the executive summary for every single pitch. The exec summary is the most-read section of any proposal. AI can draft a version that speaks directly to the prospect’s situation, not your capabilities.
- Refine pricing language based on what is known about the prospect’s budget range and decision-making process.
What this looks like in practice
One agency we work with implemented a three-step AI proposal workflow:
- Pre-pitch research: 15 minutes of AI-assisted research replaces 2 hours of manual Googling.
- Draft generation: AI creates a first draft based on the brief, the agency’s tone of voice, and the prospect’s context.
- Human refinement: A senior strategist reviews, refines, and adds the nuance that only experience provides.
The result: proposals that took 6 to 8 hours now take 2 to 3. And the win rate went from roughly 40% to over 65%.
The tools that work
There is no single magic tool. What works is a combination:
- Claude or ChatGPT for research synthesis and draft generation
- A structured brief template that feeds consistent inputs to the AI
- Proposal analytics (like Closed) to track how prospects engage with your pitch after sending
The last part matters more than most agencies realise. Knowing that a prospect spent 8 minutes on your pricing page and revisited it three times tells you something. It tells you they are interested, and it tells you where to follow up. Combined with intelligent follow-up sequences, this turns proposal sending from a one-shot action into a structured conversion process.
Getting started
You do not need to overhaul your entire proposal process overnight. Start with one change:
Use AI to write your next executive summary. Give it the prospect’s website, your brief, and your agency’s tone. See what comes back. Refine it. Send it.
Then measure the result.
The agencies that are pulling ahead are not using AI to replace their people. They are using it to make every proposal feel like it was written for that specific client, because it was. This fits into a broader automated sales process where every step from lead to signed proposal is systematised.
This is part of The Pitch Stack, a series on how agencies are using AI to win more work. Join the newsletter for weekly insights.
