# Scopeturn

*/Startups/Scopeturn*

## Startup Overview

Digital agencies and service firms spend hours dissecting client briefs to estimate effort and build proposals. This manual extraction relies on fragmented spreadsheets and gut-feel pricing, leading to margin erosion and inconsistent scoping. The software ingests raw client documentation and automatically extracts the required deliverables, dependencies, and resource allocations.

Instead of relying on static document templates like Proposify or manual line-item entry required by ScopeStack, the system instantly generates fully outcome-priced proposals. It calibrates every new estimate against actual delivery data from past projects to eliminate under-scoping. This ensures that service providers present fixed-price engagements grounded in historical reality, protecting margins before a contract is signed.

## Startup Founding Hypothesis

**Approach**: that extracts deliverables from briefs to generate priced proposals
**Competitors**:
- [Manual Spreadsheets](/Competitors/Manual_Spreadsheets)
- [Proposify](/Competitors/Proposify)
- [ScopeStack](/Competitors/ScopeStack)
**Differentiator2x2**: both historically-calibrated against past projects and fully outcome-priced

## Startup Solution Coordinate

**Solution**: [Proposal Calibration Engine](/Software/Proposal_Calibration_Engine)

## Startup Position2x2

```mermaid
quadrantChart\n    title Position vs Competitors\n    x-axis Resource-Based Pricing --> Outcome-Priced\n    y-axis Ad-Hoc Guesswork --> Historically-Calibrated\n    quadrant-1 Defensible\n    quadrant-2 Niche\n    quadrant-3 Crowded\n    quadrant-4 Risky\n    Manual Spreadsheets: [0.15, 0.25]\n    Proposify: [0.20, 0.45]\n    ScopeStack: [0.35, 0.75]\n    Scopeturn: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting digital agencies looking to cut proposal creation time from days to under one hour.
- Aims to improve scoping accuracy by tying new bids directly to past project margin data.
- Designed to eliminate manual spreadsheet errors in complex software development bids.
**Tiers**:
- Name: Boutique Firm · Price: ~$100–$250/mo · Inclusions: Includes up to 10 brief extractions per month, automated deliverable mapping, and baseline historical pricing calibration.
- Name: Scaling Agency · Price: ~$600–$1,200/mo · Inclusions: Includes up to 50 brief extractions per month, bulk ingestion of past project data for custom margin calibration, and intended integrations with standard CRM platforms.
**Guarantee**: If the generated proposal misses an explicitly stated deliverable from the uploaded brief, the user receives a full credit for that extraction run.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our pricing model is too complex for an automated tool. Rebuttal: The engine maps extracted deliverables to your custom historical baseline, accommodating distinct rate cards and fixed-fee structures.
- Objection: The client briefs we receive are highly unstructured. Rebuttal: The parser processes raw text, PDFs, and slide decks to extract actionable scope regardless of the original formatting.
- Objection: We need to hide hours and present outcome-based prices. Rebuttal: The system calculates baseline effort internally but strictly generates fully outcome-priced proposals for the client.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative and analytical, emphasizing historical accuracy in agency pricing.
**Tagline**: Generate accurate, outcome-priced proposals directly from client briefs.
**Icon Concept**: caliper
**Palette Intent**: institutional-cool
**Visual Identity**: The design pairs structured ledger grids with deep institutional navy and crisp mint accents to convey financial certainty in digital agency scoping.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Scopeturn → Digital Agency Sales Leader → Agency Client
**Gtm Motion**: Acquires agency sales leaders through a self-serve trial that extracts deliverables from a single uploaded RFP brief to output an outcome-priced table. Expands to full-agency deployment by pooling past project data into a shared organizational pricing model that requires team-wide adoption to maintain historical calibration.
**Agent Channel**: Intends to publish as a callable pricing oracle in the LangChain tool registry and the OpenAI GPT Store, enabling autonomous sales-assist agents to submit raw project briefs and retrieve structured, calibrated proposal deliverables.
**Primary Channel**: Targeted search intercept for queries like 'agency outcome pricing template' and 'RFP scoping tool', alongside direct engagement in digital agency leadership networks like Bureau of Digital.

## Startup Customer Journey

```mermaid
flowchart LR; A[Agency Sales Leader] --> B[Interactive Trial Environment]; B --> C[RFP Parser Engine]; C --> D[Outcome-Priced Table]; D --> E[Organizational Pricing Model]; E --> F[Scaling Agency Tier]; F --> G[GPT Store Oracle];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- A 30-day pilot with a 15-person development agency processing 10 historical RFPs to prove the extraction engine accurately matches their custom fixed-fee structure and catches all explicitly stated deliverables.
- A 60-day parallel-run pilot with a scaling marketing firm, directly comparing Scopeturn's automated deliverable mapping and margin calculations against their manual spreadsheet process across 25 live client bids.
**Target Metrics**:
- Target: Reduction in proposal generation time from an average of 14 hours to under 1 hour per bid.
- Aim: 0% explicit deliverable omission rate from unstructured client-provided briefs.
- Target: 15% improvement in projected project margins by anchoring new bids to historical baseline data instead of ad-hoc estimates.
- Aim: 100% adherence to outcome-based pricing presentation, successfully hiding all internal hourly math from the generated proposal.
**Target Case Studies**:
- Target: A mid-sized digital marketing agency. Transformation: Shifts from a three-day manual proposal drafting cycle to 45-minute automated scoping, strictly maintaining outcome-based pricing for the end client.
- Target: A custom software development shop. Transformation: Eliminates deliverable omissions by directly parsing 20-page unstructured RFP PDFs and mapping requirements to historical margin-calibrated baseline effort.
- Target: A boutique creative firm. Transformation: Standardizes disjointed scoping practices into consistent, profitable project proposals, completely decoupling internal effort calculations from client-facing deliverables.
**Testimonial Targets**:
- Role: Agency Founder. Target Sentiment: Relief that they no longer spend weekends manually mapping unstructured client briefs into scoping spreadsheets.
- Role: Sales Director. Target Sentiment: Absolute confidence in the accuracy of outgoing proposals, knowing internal baseline effort is automatically calibrated against past project margins.
- Role: Lead Project Manager. Target Sentiment: Satisfaction that complex RFP slide decks are instantly translated into actionable deliverable lists without manual copy-pasting or spreadsheet errors.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Agencies reject the outcome-based pricing model because their internal financial structures rely entirely on billable-hour compensation. · Mitigation Status: unmitigated
- Severity: high · Description: The text extraction engine fails to map ambiguous client briefs to concrete deliverables, causing agencies to underprice projects and lose margin. · Mitigation Status: in-progress
- Severity: high · Description: Agencies refuse to upload past project data for historical calibration due to strict client non-disclosure agreements. · Mitigation Status: unmitigated
- Severity: moderate · Description: Incumbent proposal platforms like Proposify deploy LLM-based brief extraction within their existing workflows, commoditizing the intake feature. · Mitigation Status: in-progress

## Startup Competitors

- [Manual Spreadsheets](/Competitors/Manual_Spreadsheets) — Status Quo
- [Proposify](/Competitors/Proposify) — Incumbent
- [ScopeStack](/Competitors/ScopeStack) — Services CPQ
- [PandaDoc](/Competitors/PandaDoc) — Document Automation
- [Ignition](/Competitors/Ignition) — Client Engagement

## Startup Solution Stack

- [Outcome Pricing Service](/Services/Outcome_Pricing_Service) — Service-as-Software
- [Brief Extraction Agent](/Agents/Brief_Extraction_Agent) — Agent
- [Historical Calibration Worker](/Agents/Historical_Calibration_Worker) — Agent
- [Deliverable Mapping API](/Software/Deliverable_Mapping_API) — Software
- [Proposal Generation Engine](/Software/Proposal_Generation_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic architect of profitable outcomes, not a spreadsheet calculator
- **Want**: to turn unstructured client briefs into priced proposals in under an hour
- **Identity**: the solutions architect at a scaling digital agency
**Plan**:
- Step: Upload · Detail: Drop the client's raw brief or slide deck into the extraction engine.
- Step: Confirm · Detail: Review the extracted deliverables mapped against your historical pricing baseline for margin accuracy.
- Step: Export · Detail: Generate a professional, outcome-priced proposal ready for client signature.
**Guide**:
- **Empathy**: Agency margins are won in the initial bid — but reality is often buried in unstructured PDFs and slide decks.
**Problem**:
- **Villain**: spreadsheet-based scoping
- **External**: Scoping complex software bids in Proposify requires manual data entry across disparate spreadsheets to ensure margins are protected.
- **Internal**: You feel a constant underlying dread that a single formula error will bankrupt the project's profitability.
- **Philosophical**: Strategic pricing expertise belongs in client-facing outcomes, not in line-item cell maintenance.
**Success**: Proposals are delivered in minutes instead of days, with every price point backed by your agency's actual historical margin data.
**One Liner**: Every week, solutions architects struggle with manual bid errors. Scopeturn extracts deliverables from briefs so you can generate accurate, outcome-priced proposals instantly.
**Positioning**:
- **So That**: bids are accurately priced against historical margins in minutes
- **Unlike**: Manual Spreadsheets and Proposify
- **For Whom**: the solutions architect at scaling agencies
- **Category**: Automated Scoping for Digital Agencies
**Call To Action**:
- **Direct**: Generate a proposal
- **Transitional**: View sample output
**Failure Stakes**:
- Underpriced bids leading to project losses
- Days of billable time lost to manual scoping
- Missing deliverables mentioned in complex briefs
**Transformation**:
- **To**: one of the few architects who guarantees project profitability
- **From**: a technician managing spreadsheets and cell formulas
**Controlling Idea**: Historical agency data should dictate new proposal pricing automatically.

## Startup Landing Hero

**Eyebrow**: Automated Scoping for Digital Agencies
**Headline**: Turn raw briefs into profitable proposals instantly

## Startup Landing Hero Services

**Eyebrow**: Automated Agency Scoping
**Headline**: Fully priced proposals from raw client briefs.
**Supporting Proof**: Mapped to your historical margin baseline.

## Startup Landing Hero Headless Saa S

**Eyebrow**: Headless Agency Scoping API
**Headline**: Parse client briefs into priced line items
**Supporting Proof**: Returns structured JSON deliverables mapped to your historical pricing.

## Startup Landing Problem

**Cards**:
- Body: When you parse raw client PDFs and slide decks by hand, critical requirements slip through the cracks. Missing a single API integration or security audit in the manual copy-paste process creates a massive, unbillable scope gap before the project even kicks off. · Heading: Manually Copying Briefs into Proposify
- Body: Relying on a master Excel file for pricing leads to version-control nightmares. One broken formula or outdated hourly rate hidden in a hidden tab results in an underpriced bid that bankrupts the project’s profitability and forces your team into unpaid overtime. · Heading: Maintaining Fragile Scoping Spreadsheets
- Body: Hunting through old Slack threads or Jira tickets to see what you charged for a similar build is a guessing game. Without a structured link to historical margin data, you end up 'finger-in-the-wind' pricing that fails to account for actual labor costs. · Heading: Sanity Checking Estimates Against Slack History
**Section Heading**: Your agency margins shouldn't depend on a single spreadsheet cell

## Startup Landing Solution

**Section Heading**: Eliminate spreadsheet errors by automating your agency bidding process
**Solution Statement**: Scopeturn is a proposal generation platform designed to parse unstructured briefs and map deliverables against your historical agency margin data. The system is built to ingest PDF and slide deck inputs to calculate bid pricing based on your specific labor rates and past project performance.

## Startup Landing Pricing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Tiers**:
- Name: Boutique Firm · Price: ~$100–$250/mo · Tagline: For specialized firms needing accurate bids on individual briefs · Cta Label: Generate a proposal · Highlighted: false
- Name: Scaling Agency · Price: ~$600–$1,200/mo · Tagline: For growing agencies automating high-volume bid pipelines and margins · Cta Label: Connect project data · Highlighted: true
**Billing Note**: Monthly billing. Illustrative bands shown until this Startup is live.
**Section Heading**: Architect Profitable Proposals with Historical Data

## Startup Landing Faq

**Faqs**:
- Answer: Yes. Scopeturn maps every extracted deliverable against your specific historical baseline. The engine accommodates your unique rate cards and margin requirements to ensure every bid aligns with your firm's actual profit model. · Question: Can an automated tool handle my agency's complex pricing and fixed-fee structures?
- Answer: The extraction engine parses raw text, PDFs, and slide decks regardless of formatting. It identifies deliverables buried in unstructured content and translates them into a standardized scope for your review. · Question: My client briefs are messy PDFs and slide decks—can you actually read them?
- Answer: The system calculates baseline effort internally to protect your margins but generates a public-facing proposal that is strictly outcome-priced. Your client sees the value of the deliverable, while you see the underlying cost data. · Question: We don't sell by the hour; how do I hide effort from the client?
- Answer: We provide a direct accuracy guarantee for every run. If the generated proposal misses an explicitly stated deliverable from your uploaded document, you receive a full credit for that extraction run instantly. · Question: What happens if the system misses a critical deliverable mentioned in the brief?
- Answer: Setup is immediate. Scaling Agency users can bulk-upload past project data to calibrate custom margins in minutes, while Boutique users use a baseline calibration that begins working on the first upload. · Question: How long does it take to calibrate the tool with our past data?
**Section Heading**: Common questions about Scopeturn

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every week, solutions architects struggle with manual bid errors. Scopeturn extracts deliverables from briefs so you can generate accurate, outcome-priced proposals instantly.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: e9ff26666d676fc8

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated Scoping for Digital Agencies for the solutions architect at scaling agencies. Unlike Manual Spreadsheets and Proposify — bids are accurately priced against historical margins in minutes.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 27b69bcda7feaa2b

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Scoping complex software bids in Proposify requires manual data entry across disparate spreadsheets to ensure margins are protected.
Solution: Every week, solutions architects struggle with manual bid errors. Scopeturn extracts deliverables from briefs so you can generate accurate, outcome-priced proposals instantly.
Customer: the solutions architect at scaling agencies
Unlike: Manual Spreadsheets and Proposify
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: f7a6fb056fc3d645

## Startup Token M E D D P I C C

**Pain**: Scoping complex software bids in Proposify requires manual data entry across disparate spreadsheets to ensure margins are protected.
**Metrics**: Target: Proposals are delivered in minutes instead of days, with every price point backed by your agency's actual historical margin data.
**Rendered**: Pain: Scoping complex software bids in Proposify requires manual data entry across disparate spreadsheets to ensure margins are protected.
Economic buyer: Digital Agency Sales Leader
Metrics: Target: Proposals are delivered in minutes instead of days, with every price point backed by your agency's actual historical margin data.
Competition: Manual Spreadsheets and Proposify
**Mechanism**: spine-derived-v1
**Competition**: Manual Spreadsheets and Proposify
**Economic Buyer**: Digital Agency Sales Leader
**Vocab Fingerprint**: b249473e42acec36

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated Scoping for Digital Agencies for the solutions architect at scaling agencies

the solutions architect at scaling agencies — Scoping complex software bids in Proposify requires manual data entry across disparate spreadsheets to ensure margins are protected. Every week, solutions architects struggle with manual bid errors. Scopeturn extracts deliverables from briefs so you can generate accurate, outcome-priced proposals instantly.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 06553b930711e31e

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated Scoping for Digital Agencies. Every week, solutions architects struggle with manual bid errors. Scopeturn extracts deliverables from briefs so you can generate accurate, outcome-priced proposals instantly. Serves the solutions architect at scaling agencies.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: ba2ce2168028264d

## Neighborhood

### Candidate solutions

- [Defect Reporting Latency](/Problems/Defect_Reporting_Latency) — candidate solution for · Problems

### Composed of

- [Brief Extraction Agent](/Agents/Brief_Extraction_Agent) — composes · Agents
- [Outcome Pricing Service](/Services/Outcome_Pricing_Service) — composes · Services
- [Proposal Generation Engine](/Software/Proposal_Generation_Engine) — composes · Software
- [Deliverable Mapping API](/Software/Deliverable_Mapping_API) — composes · Software
- [Historical Calibration Worker](/Agents/Historical_Calibration_Worker) — composes · Agents

### What it offers

- [Proposal Calibration Engine](/Software/Proposal_Calibration_Engine) — offers · Software

### Embodies

- [Software](/Theses/Software) — embodies · Theses

### Competitors

- [Ignition](/Competitors/Ignition) — competes with · Competitors
- [PandaDoc](/Competitors/PandaDoc) — competes with · Competitors
- [ScopeStack](/Competitors/ScopeStack) — competes with · Competitors
- [Proposify](/Competitors/Proposify) — competes with · Competitors
- [Manual Spreadsheets](/Competitors/Manual_Spreadsheets) — competes with · Competitors

### Similar Problems

- [Underprice Fixed Bid Contracts](/Problems/Underprice_Fixed_Bid_Contracts) — similar · Problems
- [Fixed-Bid Estimation Errors](/Problems/Fixed-Bid_Estimation_Errors) — similar · Problems
- [Turnkey Bid Generation](/Problems/Turnkey_Bid_Generation) — similar · Problems
- [Service Contract Bidding Accuracy](/Problems/Service_Contract_Bidding_Accuracy) — similar · Problems
- [Competitive Bid Estimating](/Problems/Competitive_Bid_Estimating) — similar · Problems
- [Bespoke Proposal Generation](/Industries/Professional,_Scientific,_and_Technical_Services/Problems/Bespoke_Proposal_Generation) — similar · Problems
- [Fixed Fee Engagement Overruns](/Startups/Abrupt/Problems/Fixed_Fee_Engagement_Overruns) — similar · Problems

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