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AI proposal automation

Prepare consistent B2B proposals without handing scope or pricing to AI.

We turn structured discovery notes and approved offer material into reviewable proposal drafts, follow-up messages, and reminders. Your authorised team retains control of scope, price, terms, and customer commitments.

The workflow prepares the document. Your team approves the offer.

Proposal workflow

Move from discovery notes to a reviewed draft through a defined approval path.

It can start simple: one proposal type, one input structure, one approval path. The human gate sits exactly where price and promises live.

The bottleneck

Proposals stall because the inputs are scattered.

  • Discovery notes look different every time — when they exist at all.
  • Offer language gets rewritten from scratch for every deal.
  • Scope blocks aren't reusable, so nothing compounds.
  • Proposal quality depends on how busy the week was.
  • Commercial review is concentrated in one person.
  • After the proposal goes out, follow-up is nobody's job.

All of that friction lands at the exact moment the deal should be accelerating.

HUMAN APPROVAL REQUIRED

What remains with your team.

YOUFinal scopeWhat's in, what's out, and where the boundaries sit. The draft proposes; you decide.
YOUPrice and termsApprove commercial terms, payment structure, and legal commitments.
YOUThe unusual dealsAnything outside standard offers escalates before a word reaches the customer.
Who this is for

For B2B teams with recurring proposal patterns and high-value review time.

Agencies and studios. Consultants and implementation partners. Professional and technical service teams. Founder-led companies where the founder still reviews most offers. The best fit: recurring offer patterns, too much manual proposal work, and a person whose review time is the scarcest resource in the sales cycle.

Common questions

Before you book.

Can AI write our proposals automatically?

It can prepare genuinely useful drafts from your approved inputs. Final proposals are reviewed by a responsible person — scope, pricing, and commitments always get human approval before anything is sent.

What inputs does it need?

Discovery notes, offer descriptions, scope blocks, service boundaries, examples of approved language, and your follow-up rules. Part of the setup work is turning what's currently in people's heads into that reusable library.

Is this only for agencies?

No. It fits any B2B service business that repeatedly prepares proposals, statements of work, or custom offers — anywhere the offer is semi-custom but the raw material repeats.

Does it connect to sales follow-up?

Yes. The same workflow drafts the follow-up email and sets reminders, so the deal doesn't go quiet after the document lands. It also pairs naturally with AI sales automation upstream.

How do we avoid bad scope promises?

Approved offer blocks, clear review steps, and escalation rules for anything non-standard. The draft can only assemble language you've already signed off on — it can't promise what isn't in the library.

Reduce proposal delay without reducing commercial control.

We will identify reusable inputs, required approvals, and an appropriate first proposal workflow.

Review your proposal process