The Proposal & Contract Generation Playbook

The Proposal & Contract Generation Playbook is an automated system that builds proposals from deal context, call transcripts, CRM records and agreed pricing, then instruments the document so you can see exactly what the prospect does with it. Sellers go from 2-3 hours of writing per proposal to 5 minutes of review, and every open, skim and internal share feeds back into the follow-up.

Why do proposals stall deals?

Proposals are where deals go quiet. Five failure modes show up again and again:

• Sellers take days to send them
• Proposals are bloated, so the prospect skims past the important parts
• No tracking on viewing or engagement
• No automated nudge when the prospect goes quiet
• Generic templates that do not reflect the actual call

The fix is threefold: automate the generation so it goes out fast, instrument the document so you can see engagement, and feed that engagement data back into the deal.

How does automated proposal generation work?

1. Pull context from the call

When the deal hits the "ready for proposal" stage, an agent pulls the call transcripts, the CRM record, the pricing decisions made, and the stakeholders involved. That gives it every input needed to draft a tight, relevant proposal instead of a generic one.

2. Auto-generate from templates

We use Qwilr or PandaDoc for the document layer. The agent populates a templated proposal with scoped deliverables, pricing tiers based on what was discussed, relevant case studies, customised cover language, and a built-in e-signature flow.

3. Seller review and send

The draft lands in Slack within minutes. The seller reviews, tweaks anything deal-specific, and sends. What used to take 2-3 hours now takes 5 minutes, and the proposal goes out while the call is still fresh in the prospect's mind.

4. Instrumented tracking

Qwilr or PandaDoc captures viewer-level analytics: who opened the proposal, which sections they spent time on, and who they shared it with internally. That data flows back to the CRM and feeds the follow-up agent.

5. Adaptive follow-up

The engagement data drives the next touch. Each signal maps to a specific action:

Signal	What it means	Action
Opened, no reply for 48 hours	Interested but stalled	Agent drafts a follow-up referencing the section they spent the most time on
New viewer detected	Shared internally with a stakeholder	Stakeholder-specific message goes to the original contact
Proposal signed	Deal closed	CRM updates the stage, onboarding workflow triggers, success team notified

6. E-signature and deal close

Built-in e-signature closes the loop. The moment the proposal is signed, the CRM updates the deal stage, triggers the onboarding workflow, and notifies the success team. No manual handoff, no deal sitting signed but unactioned.

What tools do you need to run this play?

Qwilr for interactive proposals (preferred for the analytics). PandaDoc as an alternative. Stripe for payment-on-signature. Claude for drafting. Close or HubSpot for the CRM. n8n for orchestration.

What should you watch for?

• Templates matter. Bad templates produce bad proposals at scale.
• Do not auto-send proposals. Always have a seller review first.
• Tier your follow-up cadence. High-value proposals deserve more attention than low-value ones.

FAQ

How long does it take to generate a proposal with this system?

5 minutes of seller time. The agent pulls call transcripts, CRM data, pricing decisions and stakeholders, populates the template, and drops the draft in Slack within minutes. The seller reviews, tweaks, and sends. Manually the same proposal takes 2-3 hours.

Should proposals be auto-sent to prospects?

No. Never auto-send proposals. A seller always reviews the draft first, tweaks anything deal-specific, and sends it themselves. Automation handles the generation, tracking and follow-up drafting; the send decision stays human.

What happens when a prospect opens the proposal but goes quiet?

If the proposal is opened with no reply for 48 hours, the agent drafts a follow-up referencing the section they spent the most time on. If a new viewer appears, indicating internal sharing, a stakeholder-specific message goes to the original contact.

What engagement data do you get from an instrumented proposal?

Viewer-level analytics from Qwilr or PandaDoc: who opened it, which sections they spent time on, and who they shared it with internally. That data flows back to the CRM and feeds the follow-up agent.

What tools do you need to run proposal and contract generation?

Qwilr for interactive proposals (preferred for analytics) or PandaDoc as an alternative, Stripe for payment-on-signature, Claude for drafting, Close or HubSpot for the CRM, and n8n for orchestration.

What happens when the proposal is signed?

The built-in e-signature closes the loop. The moment the proposal is signed, the CRM updates the deal stage, the onboarding workflow triggers, and the success team is notified. No manual handoff.