# Scanunbillable

*/Startups/Scanunbillable*

## Startup Overview

This platform analyzes system activity to reconstruct undocumented billable hours. Running continuously in the background, it captures document interactions, application usage, and communication logs to build a comprehensive timeline of daily work without requiring manual timers.

Professionals who bill by the hour routinely bleed revenue through forgotten micro-tasks, brief client emails, and the friction of maintaining manual timesheets. The software eliminates this leakage by transforming raw desktop telemetry directly into formatted, client-ready time entries.

Unlike Toggl Track and manual timesheets that demand constant user input, or Time by Ping which struggles with precise categorization, this architecture is fully zero-touch in capture and deterministically accurate in project attribution. By mapping specific file metadata and communication channels directly to client databases, it ensures accurate billing reconciliation with zero human intervention.

## Startup Founding Hypothesis

**Approach**: that analyzes system activity to reconstruct undocumented billable hours
**Competitors**:
- [Toggl Track](/Competitors/Toggl_Track)
- [Time by Ping](/Competitors/Time_by_Ping)
- [Manual timesheets](/Competitors/Manual_timesheets)
**Differentiator2x2**: fully zero-touch in capture and deterministically accurate in project attribution

## Startup Solution Coordinate

**Solution**: [Billable Reconstruction Engine](/Software/Billable_Reconstruction_Engine)

## Startup Position2x2

```mermaid
quadrantChart
title Capture vs Attribution
x-axis Manual Capture --> Zero-Touch Capture
y-axis Loose Attribution --> Deterministic Attribution
quadrant-1 Automated & Accurate
quadrant-2 Deterministic but Manual
quadrant-3 Manual & Error-Prone
quadrant-4 Automated but Loose
Manual timesheets: [0.15, 0.2]
Toggl Track: [0.4, 0.4]
Time by Ping: [0.85, 0.6]
Scanunbillable: [0.95, 0.9]
```

## Startup Offer

**Proof**:
- Targeting a 10–20% increase in logged billable hours for digital agencies and law firms.
- Aiming to recover up to 4 hours per week previously lost to manual timesheet reconstruction per user.
- Intended to maintain >95% accurate project attribution relying on deterministic application metadata.
**Tiers**:
- Name: Solo Practitioner · Price: ~$30–$50/user/mo · Inclusions: Continuous zero-touch background activity capture, local data processing, and intended basic CSV exports for individual billing reconstruction.
- Name: Firm Deployment · Price: ~$70–$110/user/mo · Inclusions: Firm-wide attribution rule management, centralized reporting dashboards, and intended direct integrations with enterprise practice management software.
**Guarantee**: If the software fails to identify billable time that exceeds the cost of your subscription within the first 30 days, your initial payment is fully refunded.
**Business Function**: ProvideService
**Objection Handlers**:
- Privacy concerns over background monitoring: Processing is designed to happen locally on the user's device, pushing only finalized time-blocks to the central server.
- Fear of misattributing internal work to a client: The system intends to use strict, user-defined keyword rules and requires a final manual approval click before any time is officially logged.
- Resistance to installing tracking software: The capture agent is positioned as a revenue-recovery tool for the user, entirely zero-touch, requiring no daily start/stop interactions.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and precise, driven by forensic accuracy and absolute certainty.
**Tagline**: Recover lost billable hours from your digital footprint.
**Icon Concept**: watch
**Palette Intent**: institutional-cool
**Visual Identity**: The brand pairs slate gray with crisp ledger green, using tabular typography to evoke forensic financial reconstruction.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B: Scanunbillable → Managing Partner / Firm Operations → Fee Earner (Lawyer / Consultant)
**Gtm Motion**: Acquires individual fee earners through a limited personal trial that audits one week of system activity to quantify lost, unbilled revenue. Expands to firm-wide deployment by presenting this recovered revenue metric to managing partners as a clear ROI business case.
**Agent Channel**: Intended to register as a structured capability in AI assistant directories (such as OpenAI Custom Actions) and legal-tech API catalogs, allowing automated billing agents to directly query the system for reconstructed time logs associated with a specific client matter.
**Primary Channel**: Targeted search engine marketing for 'automated time reconstruction' and 'recover lost billable hours', alongside intended deployment in practice management marketplaces like the Clio App Directory.

## Startup Customer Journey

```mermaid
flowchart LR;A[Search Engine Marketing]-->B[Personal Trial Application];B-->C[Revenue Audit Report];C-->D[Solo Practitioner Tier];D-->E[Managing Partner];E-->F[Firm Deployment Tier];F-->G[Clio App Directory];
```

## 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 firm-wide pilot with a 20-user digital agency, aiming to demonstrate that the value of newly discovered billable time completely covers the cost of the software deployment within the first billing cycle.
- A 14-day localized trial with five solo legal practitioners, designed to prove the zero-touch capture agent accurately constructs a daily timesheet without requiring any manual daily start/stop interactions.
**Target Metrics**:
- Target: 10-20% increase in total logged billable hours per user.
- Aim: 4 hours recovered per week per user previously lost to manual timesheet reconstruction.
- Target: >95% project attribution accuracy utilizing deterministic application metadata.
**Target Case Studies**:
- A 50-person digital agency transitioning from manual time-tracking to automated background capture, targeting a 15% increase in total billable utilization by recovering unlogged client communications.
- A solo legal practitioner adopting the local data processing tool, aiming to eliminate weekend timesheet reconstruction and recover up to 4 previously unbilled hours per week.
- A boutique consulting firm deploying centralized attribution rules, targeting a seamless integration with their existing practice management software while maintaining strict local data privacy compliance.
**Testimonial Targets**:
- Managing Partner at a mid-sized law firm expressing relief that the software captures granular billing increments for background research without requiring associates to manually toggle timers.
- Independent Digital Consultant praising the local-only data processing for keeping sensitive client assets private while successfully identifying lost revenue.
- Agency Operations Director validating that the strict user-defined keyword rules and final manual approval workflow entirely prevents internal administrative time from being misattributed to client invoices.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Corporate IT and compliance departments block the system-level activity monitoring agent due to strict data privacy and client confidentiality regulations. · Mitigation Status: unmitigated
- Severity: high · Description: Apple or Microsoft restricts background accessibility and screen recording APIs in upcoming OS security updates, disabling the core zero-touch capture mechanism. · Mitigation Status: in-progress
- Severity: high · Description: The deterministic project attribution model incorrectly assigns billable time during rapid multitasking or context-switching, leading to client disputes over phantom hours. · Mitigation Status: in-progress
- Severity: moderate · Description: Employees refuse to install or authorize the agent on their machines due to workplace surveillance concerns, blocking firm-wide deployment. · Mitigation Status: unmitigated

## Startup Competitors

- [Toggl Track](/Competitors/Toggl_Track) — Manual Tracker
- [Time By Ping](/Competitors/Time_By_Ping) — AI Timekeeping
- [Manual Timesheets](/Competitors/Manual_Timesheets) — Status Quo
- [Intapp Time](/Competitors/Intapp_Time) — Enterprise Incumbent
- [Timely](/Competitors/Timely) — Passive Tracker

## Startup Solution Stack

- [Zero-Touch Billing Service](/Services/Zero-Touch_Billing_Service) — Service-as-Software
- [Project Context Agent](/Agents/Project_Context_Agent) — Agent
- [Activity Parsing Agent](/Agents/Activity_Parsing_Agent) — Agent
- [Deterministic Attribution Engine](/Software/Deterministic_Attribution_Engine) — Software
- [System Trace SDK](/Software/System_Trace_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to ensure the firm’s total digital output is accurately valued and invoiced
- **Want**: to capture every billable minute without asking staff to use stopwatches
- **Identity**: the managing partner at a digital-first boutique firm
**Plan**:
- Step: Deploy · Detail: Install the zero-touch capture agent across your team's workstations to begin forensic activity mapping.
- Step: Review · Detail: Verify the automatically reconstructed time-blocks against your project attribution rules to ensure accuracy.
- Step: Export · Detail: Push finalized, recovered hours directly into your practice management software or billing CSV.
**Guide**:
- **Empathy**: Thousands in potential revenue are lost in the friction of manual logging — but your team shouldn't have to choose between doing the work and recording it.
**Problem**:
- **Villain**: fragmented digital footprints
- **External**: Billable time evaporates when Toggl stopwatches aren't clicked or Slack threads aren't logged in Clio
- **Internal**: You feel like you are leaking revenue despite your team working at full capacity
- **Philosophical**: Why should a professional accept uncompensated labor when their own computer already holds the proof of work?
**Success**: Every Slack message, document edit, and research session is accounted for, resulting in a 15% average increase in realized billable time.
**One Liner**: Instead of chasing staff for manual timesheets, Scanunbillable reconstructs billable hours from your digital footprint — recovering up to four hours of lost revenue per user every week.
**Positioning**:
- **So That**: automatically capture and attribute every billable digital interaction
- **Unlike**: manual timesheets and Toggl stopwatches
- **For Whom**: managing partners at digital-first firms
- **Category**: Zero-touch time recovery software
**Call To Action**:
- **Direct**: Recover lost hours
- **Transitional**: View sample activity reconstruction
**Failure Stakes**:
- 10–20% of billable hours remain unlogged
- Four hours per week lost to manual reconstruction
- Chronic firm-wide revenue leakage
**Transformation**:
- **To**: the firm's revenue-capture strategist
- **From**: a partner chasing missing Toggl entries
**Controlling Idea**: Digital work creates its own record; we simply turn that record into revenue.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of chasing staff for manual timesheets, Scanunbillable reconstructs billable hours from your digital footprint — recovering up to four hours of lost revenue per user every week.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 6f3c9d308b0cf2db

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Zero-touch time recovery software for managing partners at digital-first firms. Unlike manual timesheets and Toggl stopwatches — automatically capture and attribute every billable digital interaction.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: f0283504ddc7acd3

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Billable time evaporates when Toggl stopwatches aren't clicked or Slack threads aren't logged in Clio
Solution: Instead of chasing staff for manual timesheets, Scanunbillable reconstructs billable hours from your digital footprint — recovering up to four hours of lost revenue per user every week.
Customer: managing partners at digital-first firms
Unlike: manual timesheets and Toggl stopwatches
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: ef687941e64b2a0e

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

**Pain**: Billable time evaporates when Toggl stopwatches aren't clicked or Slack threads aren't logged in Clio
**Metrics**: Target: Every Slack message, document edit, and research session is accounted for, resulting in a 15% average increase in realized billable time.
**Rendered**: Pain: Billable time evaporates when Toggl stopwatches aren't clicked or Slack threads aren't logged in Clio
Economic buyer: Managing Partner / Firm Operations
Metrics: Target: Every Slack message, document edit, and research session is accounted for, resulting in a 15% average increase in realized billable time.
Competition: manual timesheets and Toggl stopwatches
**Mechanism**: spine-derived-v1
**Competition**: manual timesheets and Toggl stopwatches
**Economic Buyer**: Managing Partner / Firm Operations
**Vocab Fingerprint**: f531027629aad937

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Zero-touch time recovery software for managing partners at digital-first firms

managing partners at digital-first firms — Billable time evaporates when Toggl stopwatches aren't clicked or Slack threads aren't logged in Clio Instead of chasing staff for manual timesheets, Scanunbillable reconstructs billable hours from your digital footprint — recovering up to four hours of lost revenue per user every week.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: d3a23bbd17978209

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Zero-touch time recovery software. Instead of chasing staff for manual timesheets, Scanunbillable reconstructs billable hours from your digital footprint — recovering up to four hours of lost revenue per user every week. Serves managing partners at digital-first firms.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 711b949bba24a967

## Neighborhood

### Candidate solutions

- [Unbillable Tax Data Extraction](/Problems/Unbillable_Tax_Data_Extraction) — candidate solution for · Problems

### Composed of

- [Tax Data Extraction Service](/Services/Tax_Data_Extraction_Service) — composes · Services
- [Tax Document Ingestion Service](/Services/Tax_Document_Ingestion_Service) — composes · Services
- [Legacy Tax Engine SDK](/Software/Legacy_Tax_Engine_SDK) — composes · Software
- [K-1 Data Mapping Agent](/Agents/K-1_Data_Mapping_Agent) — composes · Agents
- [Footnote Resolution Agent](/Agents/Footnote_Resolution_Agent) — composes · Agents
- [Multimodal Table Extraction API](/Software/Multimodal_Table_Extraction_API) — composes · Software
- [Table Reconciliation Worker](/Agents/Table_Reconciliation_Worker) — composes · Agents
- [Schedule Mapping Agent](/Agents/Schedule_Mapping_Agent) — composes · Agents
- [Legacy Tax Integration SDK](/Software/Legacy_Tax_Integration_SDK) — composes · Software
- [Semantic Vision Engine](/Software/Semantic_Vision_Engine) — composes · Software
- [Zero-Touch Billing Service](/Services/Zero-Touch_Billing_Service) — composes · Services
- [System Trace SDK](/Software/System_Trace_SDK) — composes · Software
- [Deterministic Attribution Engine](/Software/Deterministic_Attribution_Engine) — composes · Software
- [Activity Parsing Agent](/Agents/Activity_Parsing_Agent) — composes · Agents
- [Project Context Agent](/Agents/Project_Context_Agent) — composes · Agents

### What it offers

- [Semantic Tax Ingest](/Services/Semantic_Tax_Ingest) — offers · Services
- [Tax Schedule Mapper](/Services/Tax_Schedule_Mapper) — offers · Services
- [Billable Reconstruction Engine](/Software/Billable_Reconstruction_Engine) — offers · Software

### Embodies

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

### Competitors

- [CCH ProSystem fx Scan](/Competitors/CCH_ProSystem_fx_Scan) — competes with · Competitors
- [SurePrep 1040SCAN](/Competitors/SurePrep_1040SCAN) — competes with · Competitors
- [Offshore Data Entry Temps](/Competitors/Offshore_Data_Entry_Temps) — competes with · Competitors
- [Offshore Data Entry](/Competitors/Offshore_Data_Entry) — competes with · Competitors
- [Offshore Seasonal Temps](/Competitors/Offshore_Seasonal_Temps) — competes with · Competitors
- [Thomson Reuters SurePrep](/Competitors/Thomson_Reuters_SurePrep) — competes with · Competitors
- [Dual-Monitor Manual Transcription](/Competitors/Dual-Monitor_Manual_Transcription) — competes with · Competitors
- [Offshore Transcription](/Competitors/Offshore_Transcription) — competes with · Competitors
- [Dual-Monitor Data Entry](/Competitors/Dual-Monitor_Data_Entry) — competes with · Competitors
- [Offshored Seasonal Temps](/Competitors/Offshored_Seasonal_Temps) — competes with · Competitors
- [Offshored Seasonal Data Entry](/Competitors/Offshored_Seasonal_Data_Entry) — competes with · Competitors
- [Manual Dual-Monitor Transcription](/Competitors/Manual_Dual-Monitor_Transcription) — competes with · Competitors
- [Manual Transcription](/Competitors/Manual_Transcription) — competes with · Competitors
- [CCH ProSystem Fx](/Competitors/CCH_ProSystem_Fx) — competes with · Competitors
- [seasonal offshore temps](/Competitors/seasonal_offshore_temps) — competes with · Competitors
- [Offshore Temporary Staff](/Competitors/Offshore_Temporary_Staff) — competes with · Competitors
- [Offshore Data Entry Teams](/Competitors/Offshore_Data_Entry_Teams) — competes with · Competitors
- [Manual Data Entry](/Competitors/Manual_Data_Entry) — competes with · Competitors
- [AutoEntry](/Competitors/AutoEntry) — competes with · Competitors
- [Offshoring Seasonal Data Entry](/Competitors/Offshoring_Seasonal_Data_Entry) — competes with · Competitors
- [Timely](/Competitors/Timely) — competes with · Competitors
- [Intapp Time](/Competitors/Intapp_Time) — competes with · Competitors
- [Manual Timesheets](/Competitors/Manual_Timesheets) — competes with · Competitors
- [Time By Ping](/Competitors/Time_By_Ping) — competes with · Competitors
- [Toggl Track](/Competitors/Toggl_Track) — competes with · Competitors

### Who it serves

- [Accounting Firm](/CompanyTypes/Accounting_Firm) — serves · CompanyTypes

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