Sales Proposal Generation
A rep closes out a discovery call with a clear sense of what the client needs, then spends the next two hours building a proposal document by hand — copying deal details out of Salesforce, reformatting a pricing table from last quarter's version of the template, and second-guessing whether the scope section matches what was actually promised on the call versus what got mentioned in passing. A senior rep's proposals look polished and consistent; a newer rep's proposal for the same product can look meaningfully different, and pricing typos slip through because nobody's cross-checking the document against the CRM record it's supposed to reflect.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 1.5-2.5 hrs per proposal.
How the automation works
We generate the first draft of a sales proposal directly from the CRM deal record — pulling the opportunity's product line items, agreed pricing, discovery notes and client details into a consistent, on-brand document structure — so the rep starts from something accurate instead of a blank template. Pricing pulls from the deal's actual line items rather than being retyped, scope language reflects what was logged from discovery calls, and any field the CRM doesn't have populated (a custom term, a negotiated exception) is flagged as a gap rather than silently left blank or guessed at. The rep reviews, adds the relationship-specific context only they know, and sends — cutting the document-building time without cutting the judgment call on what the client actually needs to hear.
Process flow
- 01
Deal marked proposal-ready trigger
A rep marks an opportunity as ready for proposal in the CRM, or the stage change to 'proposal' triggers the draft generation automatically.
- 02
Pull deal data from CRM integration
Product line items, negotiated pricing, discovery call notes and client contact details are pulled directly from the opportunity record rather than retyped by hand.
- 03
Assemble the proposal draft ai
Pulled data populates a consistent, on-brand proposal template — scope, pricing table, timeline and terms — reflecting what's actually in the CRM record for this deal.
- 04
Flag missing or ambiguous fields ai
Any field the CRM doesn't have clearly populated — a custom negotiated term, an unclear scope note — is flagged for the rep to fill in rather than left blank or auto-filled with a guess.
- 05
Rep reviews and personalizes output
The rep reviews the draft, adds relationship-specific context and closes any flagged gaps before sending, keeping the document accurate to what the client was actually told.
Inputs
- CRM opportunity record (products, pricing, notes)
- Discovery call notes or transcripts
- Proposal template and brand guidelines
- Client contact and company details
Outputs
- Draft client-ready proposal document
- Flagged fields requiring rep input
- Consistent pricing across deal record and document
- Reduced proposal turnaround time
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Pricing pulled from stale CRM line items rather than the latest pricebook can quote a client outdated pricing — if the deal record hasn't been refreshed since a price list update, the generated proposal will confidently reflect the wrong number unless pricing is validated against the current pricebook at generation time, not just copied from whatever's on the opportunity.
- Scope language generated from discovery notes can overstate what was actually agreed if the notes captured a passing 'we could also look at' comment as a committed deliverable — the proposal needs to reflect what was confirmed, not everything that was discussed, or the client ends up expecting something that was never actually promised.
- A proposal that looks fully complete invites less scrutiny before sending, which is exactly the wrong direction — a rep skimming a polished, well-formatted draft is more likely to miss a subtly wrong number or an outdated term than they would catching an error in an obviously rough first draft, so review discipline matters more with automation, not less.
- Custom or negotiated terms specific to one client relationship don't belong in a standard template and shouldn't be silently dropped or generalized — a payment term or SLA exception negotiated verbally needs to make it into the document exactly as agreed, and the flagging step exists specifically to force a human decision on these rather than letting them fall through.
Frequently asked questions
Does the pricing in the proposal always match the CRM?
It's pulled directly from the opportunity's line items at generation time, but we recommend validating against the current pricebook specifically, since a stale CRM record can still reflect outdated pricing even with direct pull.
What if the client negotiated a custom term not in the standard template?
These are flagged for the rep to add explicitly rather than generalized into standard template language or silently omitted.
Can this work with our existing proposal template and branding?
Yes — generation populates your existing template structure rather than replacing it with a generic one.
Does a rep still need to review before sending?
Yes — the draft is a strong starting point, not a send-ready document; review matters especially because a polished draft can look more finished than it is, making errors easier to miss.