Sales acceleration solution

AI Proposal
Statement of Work Agent

A custom AI proposal agent that reads inbound briefs, searches your past won work, drafts scope and pricing in your voice, inserts the right clauses, and outputs a branded proposal for human review in minutes instead of days.

€2.5K - €8.5K fixed 4 - 6 weeks €80 - €300/mo running
What teams notice first

95% faster proposal processing

The HVAC-style quoting pattern is the clearest proof: once the agent can read the brief, search the right reference material, and apply pricing logic, the bottleneck collapses.

HVAC quoting + document-heavy teams
Scope, pricing, clauses, output
Read case studies

Where proposals lose deals before you even send them

A qualified lead asks for a proposal, and a senior person loses two to four hours to writing it. They copy from an old version, rewrite the scope, hunt for the right clauses, fix the formatting, and send later than they wanted.

The real cost is not just time. Slow proposals lose to faster competitors, pricing gets inconsistent, and the team never builds a reliable system for learning from what wins.

A custom AI proposal agent turns your library of past wins and pricing logic into an execution system, so humans focus on judgment while the document assembly work happens in minutes.

What the proposal agent actually does

01

Reads the inbound brief

Understands the scope, requirements, timeline, and budget signals from emails, forms, transcripts, or voice notes.

02

Searches your past wins

Pulls the closest proposals or SOWs from your own history so new work starts from proven material.

03

Drafts scope in your voice

Writes the deliverables, assumptions, exclusions, milestones, and structure the way your team already sells.

04

Calculates pricing from your rules

Applies base rates, modifiers, volume logic, regional adjustments, or any other rules you already use.

05

Inserts the right clauses

Uses your approved legal language for payment terms, IP, confidentiality, and change requests.

06

Outputs a branded document

Creates a clean PDF or doc for review and one-click send, without another copy-paste session.

How the build works

WEEK 1

Discovery

We map your service catalog, pricing logic, clause library, and past proposal corpus. Output: fixed-price scope.

WEEKS 2 - 3

Scope + pricing engine

Brief ingestion, past-proposal search, scope drafting, and pricing logic go into a working prototype.

WEEKS 4 - 5

Clauses + output

Clause selection, PDF or doc rendering, branding, and review workflow get wired up.

WEEK 6

Deploy + tune

We test against real briefs and refine scope drafting, pricing consistency, and document quality until it is reliable.

Custom build vs proposal SaaS

Old templates PandaDoc / Proposify Custom AI Agent
Writing effort Hours every time Still mostly manual Drafted automatically
Pricing consistency Writer dependent Template based Rule based
Past win reuse Manual memory Not native Searches your real corpus
Clause control Copy-paste risk Template management Approved language inserted automatically
Speed to send Day or more Better workflow Minutes to reviewable draft
Learning loop Weak Activity analytics Structured inputs and outcomes

For the broader decision framework, read our custom vs off-the-shelf AI guide.

When the math works

  • +You send more than 10 proposals per month
  • +Proposal writing burns senior time today
  • +Slow proposals are losing you deals
  • +You have at least 30 to 50 past proposals to learn from

When it does not

  • -You send only a few proposals a month
  • -Every proposal is totally bespoke with no reusable structure
  • -Pricing rules only exist in someone's head and nobody will document them

Frequently asked questions

What does a custom AI proposal agent cost?
Most proposal and SOW builds land between EUR2,500 and EUR8,500 depending on pricing complexity, clause management, and output requirements.
Can it use our past proposals as reference material?
Yes. That is usually the most valuable part of the system. We curate your wins into a usable corpus so new proposals start from proven material.
Will it send proposals without a human review?
Not recommended. Proposal workflows should keep a human approval step because they are commercial documents with real pricing and legal implications.
Can it handle different pricing models?
Yes. Fixed fee, day rate, milestone based, retainers, volume modifiers, and similar logic can all be encoded if the rules are documented.
Can it output a branded PDF?
Yes. We can generate a branded PDF or document so the output feels client-ready rather than like raw AI text.

Want proposals to stop being a bottleneck?

Book a free consultation and we will tell you honestly whether proposal generation is the right workflow to automate first, what should stay human, and what a fixed-price build would look like.