AI Proposal Generator & Win Rate Tracker

Problem and target customer

Why this exists

Customer problem

Independent consultants rebuild proposals from old documents, risk inconsistent scope and pricing language, and rarely record why work was won or lost. Raw win-rate percentages become misleading when drafts, client segments, and outcome dates are mixed.

Who pays

Independent consultants and boutique advisory firms selling repeatable project types through written proposals.

Business model

Monthly subscription with proposal-generation allowances and team collaboration on higher tiers.

Editorial note

Generation is only as reliable as discovery. The brief must preserve unknowns and separate approved consultant material from client facts so the draft cannot invent credentials, outcomes, or commitments.

Versioning protects both sides of the sale. A client should respond to the exact scope and price they received, while the consultant remains free to create a revised version after a question or negotiation.

Win-rate analysis begins with a defensible denominator, not optimization advice. Showing unanswered, expired, accepted, and declined proposals separately prevents a flattering percentage from hiding incomplete follow-up.

Choose your next step

What do you need next?

Evaluate the operating tradeoffs quickly, or inspect how to build the MVP.

Evaluate this ideaSee the cost and deployment preview

Compare the three operating paths at the default workload before opening the full calculator.

See cost preview Build this ideaInspect the build blueprint

Review MVP scope, workflow, states, data rules, architecture, and acceptance criteria.

Open blueprint

Evaluation preview

What would it take to run?

Directional infrastructure estimates for the current 500 generated proposals assumption. Open the full calculator when you are ready to change it.

Open full cost and deployment

ManagedSelected

$11-$34/ month

Managed app, database, queue, and generation worker for proposal creation and delivery.

Lowest operating effort

Lean self-hosted

$13-$32/ month

One operator-managed server runs editing, delivery, and generation jobs.

Lowest baseline cost

More control

$46-$109/ month

Separate proposal delivery, database, and generation capacity for a small firm.

Most separation and control

Build blueprint

Build the first paid use case

Product goal

Who it serves and what it must change

Target user: A consultant preparing a tailored proposal after a discovery conversation and later reviewing which offers convert.
Problem: Proposal writing repeats boilerplate while important client context, scope boundaries, assumptions, and loss reasons are not captured consistently.
Measurable outcome: A consultant can enter a complete brief, generate and revise a proposal, send a locked client version, record the result, and reproduce the displayed win rate from eligible outcomes.

MVP scope

What ships now and what waits

Included

Reusable consultant profile and approved service library
Structured client brief with goals, constraints, stakeholders, timing, budget, and evidence
AI draft of executive context, scope, deliverables, timeline, assumptions, and next step
Manual editor with required scope and exclusion checks
Versioned client link with viewed, accepted, declined, and question events
Win-rate analysis by service, client segment, value band, and sent period
Loss-reason and improvement-note capture

Excluded

Legal contract drafting
Electronic signature
Invoice or payment collection
Automatic pricing optimization
Claims that AI increases win rate

UX and user flow

Screens, actions, and states

Client Brief

Capture the facts and open questions that may appear in the proposal.

Select serviceAdd discovery notesMark unknownValidate brief

Proposal Editor

Generate and revise structured sections with scope checks and source labels.

Generate draftEdit sectionAdd pricing optionResolve warning

Send Preview

Review the exact immutable version and configure client access.

Preview client viewCreate sent versionCopy secure link

Client Proposal

Present the proposal and collect a clear response or question without exposing the editor.

Review proposalAsk questionAcceptDecline

Performance Review

Calculate eligible win rates and compare outcomes without implying causation.

Choose cohortInspect proposalsRecord loss reasonAdd improvement note

Primary flow

Consultant chooses an approved service and completes a client brief, explicitly marking unknown facts.
A worker generates structured draft sections using only the brief and approved consultant content.
The consultant edits scope, exclusions, assumptions, timeline, and pricing options until required checks pass.
Sending creates an immutable version and a revocable client token; client events update that version only.
Accepted and declined sent versions enter cohort analytics, while the consultant records loss reasons and improvement notes.

Loading, empty, and error states

Brief incomplete
Drafting
Draft
Needs scope review
Ready to send
Sent
Viewed
Question received
Accepted
Declined
Expired

Core entity outline

Entities and business rules

ServiceTemplate

An approved consulting offer with reusable deliverables and boundaries.

Fields: name, description, approved_deliverables, default_exclusions, active
Relations: Selected by many ClientBriefs

ClientBrief

The factual input and uncertainty boundary for one proposal.

Fields: client_name, service_id, goals, constraints, stakeholders, timeline, budget_context, discovery_notes, unknowns, status
Relations: Belongs to one ServiceTemplate, Has one Proposal

Proposal

The editable working document and current review status.

Fields: brief_id, title, status, currency, valid_until, created_by
Relations: Has many ProposalSections, Has many PricingOptions, Has many ProposalVersions

ProposalVersion

An immutable sent snapshot with client access and outcome.

Fields: proposal_id, version_number, content_snapshot, access_token_hash, sent_at, first_viewed_at, outcome, outcome_at, loss_reason
Relations: Belongs to one Proposal, Has many ProposalEvents

ProposalEvent

A viewed, question, accepted, declined, expired, or revoked event on a sent version.

Fields: version_id, event_type, occurred_at, metadata
Relations: Belongs to one ProposalVersion

Business rules

Generation may use only the selected brief and approved service or consultant content; unknowns remain labeled and may not be filled by the model.
A proposal cannot become Ready to send without scope, deliverables, exclusions, assumptions, timeline, price, currency, validity, and next step.
Sending creates an immutable snapshot; later edits create a new version and never alter the client's existing link content.
Only one terminal outcome is counted per proposal, using the latest explicitly sent version selected by the consultant.
Win rate equals accepted eligible proposals divided by accepted plus declined eligible proposals for the selected cohort; drafts, expired links, and unanswered sent proposals are shown separately.

Architecture and data flow

Components, integrations, and controls

Consultant workspace

Manage approved services, briefs, proposal editing, send preview, and outcome analysis.

Generation worker

Build bounded prompt context, return structured sections, validate unsupported claims, and save a draft version.

Client proposal service

Render immutable versions, validate access tokens, collect questions and outcomes, and support revocation.

Analytics query layer

Select eligible version outcomes and calculate reproducible cohort metrics.

PostgreSQL

Store briefs, approved content, sections, prices, versions, events, reasons, and improvement notes.

Integrations

LLM API for structured proposal drafts
Transactional email for sent links and outcome notifications
Optional Make webhook for accepted, declined, or question events

Data flow

A validated brief and approved service content are serialized into a generation job without unrelated client records.
Structured output becomes editable sections and preserves any unknowns as review warnings.
Sending snapshots content and pricing, hashes a client token, and emails the link after the version commits.
Client events append to the sent version; analytics derives cohorts from immutable outcomes and explicit filters.

Failure handling

If generation fails, keep the complete brief and allow manual proposal creation or retry.
Reject model sections containing unknown facts or absent approved credentials and show the field needing review.
If email delivery fails after snapshot creation, keep the Ready version unsent and retry the same delivery key.
A revoked or expired link shows no proposal content and directs the client to contact the consultant.

Security

Hash proposal access tokens, permit revocation, and avoid guessable client URLs.
Enforce workspace ownership on briefs, content, and analytics.
Keep API credentials server-side and exclude sensitive internal notes from generation and client snapshots.
Escape portable content and validate external links before rendering the client proposal.

Rate limits

Limit concurrent generation jobs and monthly proposals per workspace.
Throttle client-token attempts and question submissions by token and IP.
Cap email sends per proposal version and deduplicate provider callbacks.

Deliverables and acceptance

Definition of done for the MVP

Deliverables

Approved service library and structured client brief
AI-assisted section editor with scope checks
Immutable tokenized client proposal
Question and outcome event handling
Cohort win-rate and loss-reason analysis

Acceptance criteria

An incomplete brief cannot generate text that silently fills marked unknowns.
A Ready proposal contains all required scope, commercial, and next-step fields.
Editing after send does not change the client's immutable version.
The win-rate numerator, denominator, exclusions, and contributing proposals are visible for every cohort.
A generation outage still allows the consultant to write, version, send, and track a proposal manually.

Recommended stack

Enough technology for the first version

Web application

Next.js and Tailwind CSS

Support a structured editor, secure public proposal pages, and outcome dashboards.

Data

PostgreSQL

Keep briefs, sections, prices, immutable snapshots, events, and cohort filters consistent.

Jobs

BullMQ and Redis

Run proposal generation and email retries with recoverable state.

OpenAI structured outputs

Return predictable proposal sections that can be checked against approved inputs.

Resend

Deliver versioned links and notify consultants about explicit client events.

Why this is sufficient

The product's long-term value comes from disciplined input, version integrity, and clean outcomes. The model accelerates first drafts but the consultant owns factual accuracy, scope, pricing, and every client-visible version.

Not required for the MVP

Payment processorE-signature serviceVector databaseObject storageNative mobile app

Next stepTurn the blueprint into an execution plan

Copy the build prompt, model the operating cost, and choose where to deploy.

Build and ship

Execution

Build, price, and deploy the MVP

Once the blueprint is clear, use the prompt, cost model, and deployment options to start building.

Build prompt

Copy this into a builder

Build a Next.js application with PostgreSQL, a structured LLM generation worker, portable proposal sections, immutable sent versions, and event-based outcome analysis. Do not generate unsupported credentials, case studies, or guarantees.

Build prompt

Your build prompt is ready

Open the prompt pack whenever you are ready to take this blueprint into your builder.

Based on the blueprintReady for your builderFollow-up steps included

Cost calculator

Model the MVP operating cost

A technical run-cost estimate for the first production version. Team, acquisition, payment fees, and business COGS are excluded.

Estimated monthly total$11-$34

$11-$34 per 500 generated proposals

Proposals generated / month500 generated proposals

Selected pathEasiest

Pricing checkedAug 2, 2026

Cost breakdown

$11-$34 per month

Low and high values allow for usage variance and plan headroom.

Managed proposal stack

Managed app, database, queue, and generation worker for proposal creation and delivery.

5K generated proposals included, then $5-$15 per 5K generated proposals

$5-$25

Proposal generation (GPT-5.4 mini)

Approved consultant content and client brief input plus a structured editable proposal draft.

500 generated proposals x 7K input + 2.2K output tokens

$5.68-$9.47

Proposal email

Client link delivery and consultant event notifications for the sent-version workflow.

3K generated proposals included

Included

Application, database, queue, and worker hosting
Proposal draft model usage
Proposal-link email
Backups

Not included

Consulting labor
Legal drafting and review
E-signature
Payment processing fees
Customer acquisition

Pricing basis

The estimate combines the selected infrastructure path, required operating modules, selected optional modules, and usage above included monthly allowances. Taxes and regional uplifts are excluded.

Railway pricing OpenAI model pricing Resend transactional email pricing

Deployment options

Pick the operational tradeoff

Choose based on operating preference, not only the headline price.

EasiestRecommended

Railway

Run the editor, public proposal service, database, queue, and generation worker together.

$5-$25/month plus model and email usage

Good fit

Managed launch
Secure proposal links
Background generation

Limitation

Persistent services can exceed the base plan as proposal traffic grows.

Deploy the proposal tool

Cheapest

Vultr

Run the app, worker, and database on one small Vultr VPS with Docker Compose and explicit backups.

$7-$23/month plus APIs

Good fit

Cost-sensitive solo consultant
Low traffic
Hands-on maintenance

Limitation

The operator owns backups, security updates, token monitoring, and job recovery.

Deploy on Vultr View the lean VPS guide

More control

DigitalOcean

Separate application, worker, data, storage, and backup responsibilities as the workload grows.

$40-$100/month plus APIs

Good fit

Separated services
More delivery headroom
Recovery planning

Limitation

Extra infrastructure does not replace careful scope and outcome governance.

Explore DigitalOcean View the separated cloud guide

Start building

Prototype, automate, then deploy

Recommended route

01Vibe-coding builderPrototype brief-to-proposal

Use Lovable to test client briefing, section generation, scope editing, pricing options, version preview, sent-state tracking, and outcome analysis.

Open Lovable 02AutomationNotify on proposal outcomes

Use Make as optional glue to notify a consultant when a client accepts, declines, or asks a question; keep proposal versions and analytics in the product.

Open Make 03DeployDeploy the proposal workspace

Run the editor, database, generation worker, and public proposal links on Railway with versioned server-side access tokens.

Open Railway

AI Proposal Generator & Win Rate Tracker

Is this worth validating?

Build this if

Avoid this if

Validate first

Why this exists

Customer problem

Who pays

Business model

What do you need next?

What would it take to run?

Build the first paid use case

Who it serves and what it must change

What ships now and what waits

Included

Excluded

Screens, actions, and states

Primary flow

Loading, empty, and error states

Entities and business rules

Business rules

Components, integrations, and controls

Integrations

Data flow

Failure handling

Security

Rate limits

Definition of done for the MVP

Deliverables

Acceptance criteria

Enough technology for the first version

Next.js and Tailwind CSS

PostgreSQL

BullMQ and Redis

OpenAI structured outputs

Resend

Why this is sufficient

Not required for the MVP

Build, price, and deploy the MVP

Copy this into a builder

Your build prompt is ready

Model the MVP operating cost

Usage assumptions

$11-$34 per month

Included

Not included

Pricing basis

Pick the operational tradeoff

Railway

Good fit

Limitation

Vultr

Good fit

Limitation

DigitalOcean

Good fit

Limitation

Prototype, automate, then deploy

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