Billing and invoicing software
Technology category · O*NET
Billing and invoicing software is a technology category in the O*NET database. Across U.S. occupations, 42 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 65th percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.
A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.
Example software & tools
Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.
| Software / tool | Occupations | Tags |
|---|---|---|
| Billing software | 22 | |
| Fifth Walk BillingTracker | 3 | |
| EZClaim medical billing software | 2 | |
| e-MDs Bill | 2 | |
| American Medical Billing Software PMA | 1 | |
| Automated billing software | 1 | |
| BLS Software Invoice! | 1 | |
| BQE Software BillQuick | 1 | |
| Bill review software | 1 | |
| Billing and reimbursement software | 1 | |
| Choice Technologies PowerBill + | 1 | |
| Client billing software | 1 | |
| ConEst T&M Billing Manager | 1 | |
| Cortex Medical Management Systems Cortex Medical Billing | 1 | |
| Dental billing software | 1 | |
| EZ-Zone Software Alternative Medical Billing | 1 | |
| EZ2Bill Confidant | 1 | |
| FifthWalk BillingTracker Pro | 1 | |
| Healthpac Medical Billing | 1 | |
| Invoice software | 1 | |
| M8 Client Billing | 1 | |
| MPMsoft billing | 1 | |
| Medical billing software | 1 | |
| Mitchell Manager Invoicing System | 1 | |
| NCH Software Express Invoice | 1 | |
| Patient billing software | 1 | |
| SMEsource BillingOrchard | 1 | |
| TELCOR Billing Information System | 1 | |
| Thomson Reuters Elite Billing Manager | 1 |
Occupations that use Billing and invoicing software
- Accountants and Auditors
- Anesthesiologists
- Automotive Service Technicians and Mechanics
- Billing and Posting Clerks
- Bookkeeping, Accounting, and Auditing Clerks
- Chiropractors
- Claims Adjusters, Examiners, and Investigators
- Clinical and Counseling Psychologists
- Compensation and Benefits Managers
- Computer and Information Systems Managers
- Concierges
- Cost Estimators
- Dental Hygienists
- Family Medicine Physicians
- General Internal Medicine Physicians
- Glass Blowers, Molders, Benders, and Finishers
- Health Information Technologists and Medical Registrars
- Hospitalists
- Insurance Appraisers, Auto Damage
- Insurance Claims and Policy Processing Clerks
- Lawyers
- Legal Secretaries and Administrative Assistants
- Marriage and Family Therapists
- Medical Assistants
- Medical Records Specialists
- Medical Secretaries and Administrative Assistants
- Medical Transcriptionists
- Medical and Clinical Laboratory Technicians
- Medical and Health Services Managers
- Meter Readers, Utilities
- Naturopathic Physicians
- Nursing Assistants
- Occupational Therapists
- Occupational Therapy Aides
- Occupational Therapy Assistants
- Office Clerks, General
- Pharmacy Technicians
- Physical Therapist Assistants
- Physicians, Pathologists
- Psychiatrists
Showing 40 of 42 occupations.
How AI is used by roles that use Billing and invoicing software
A software category is not itself "being automated" — but we can look at the roles that report using Billing and invoicing software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 54.8% of the 42 roles that use this category carry observed AI-usage data (23 roles).
Across those roles, 44.3% of AI conversations are people working with AI and 47.9% hand a task to AI , with an average autonomy of 3.22 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 28.4% | AI does it; you give the instruction |
| learning | 27.0% | you ask AI to explain or teach |
| feedback loop | 19.6% | AI does it, then adjusts from your feedback |
| task iteration | 14.2% | you and AI go back and forth |
| validation | 3.1% | you do it; AI checks your work |
Roles behind this signal
The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.
| Occupation | Works with AI | Autonomy |
|---|---|---|
| Office Clerks, General | 36.5% | 3.0/5 |
| Lawyers | 69.2% | 4.0/5 |
| Bookkeeping, Accounting, and Auditing Clerks | 39.3% | 3.0/5 |
| Marriage and Family Therapists | 65.6% | 4.0/5 |
| Computer and Information Systems Managers | 67.7% | 4.0/5 |
| Tax Preparers | 79.5% | 3.0/5 |
| Receptionists and Information Clerks | 33.1% | 3.0/5 |
| Medical Transcriptionists | 29.9% | 3.0/5 |
| Concierges | 40.4% | 3.0/5 |
| Medical and Health Services Managers | 49.5% | 4.0/5 |
| Compensation and Benefits Managers | 42.8% | 3.5/5 |
| Occupational Therapy Assistants | 70.8% | 4.0/5 |
Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Billing and invoicing software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.
Industries that concentrate this
Where Billing and invoicing software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Billing and invoicing software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.
Nationally, about 10.2% of workers are in occupations that significantly use Billing and invoicing software (measured across 66 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Health Care and Social Assistance | 5,777,420 | 25.0% |
| Professional, Scientific, and Technical Services | 2,012,930 | 18.7% |
| Retail Trade | 1,078,930 | 6.9% |
| Finance and Insurance | 923,940 | 14.8% |
| Administrative and Support and Waste Management and Remediation Services | 646,440 | 7.2% |
| Other Services (except Public Administration) | 625,140 | 14.1% |
| Construction | 613,150 | 7.5% |
| Educational Services | 592,140 | 4.3% |
| Manufacturing | 452,960 | 3.5% |
| Management of Companies and Enterprises | 443,630 | 15.8% |
| Wholesale Trade | 425,910 | 7.1% |
| Real Estate and Rental and Leasing | 266,250 | 11.2% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Offices of Chiropractors | National industry | 7.84× | 80.0% |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists | National industry | 4.18× | 42.6% |
| Pharmacies and Drug Retailers | National industry | 3.81× | 38.9% |
| Offices of Optometrists | National industry | 3.37× | 34.4% |
| Offices of Mental Health Practitioners (except Physicians) | National industry | 3.27× | 33.4% |
| Health Care and Social Assistance | Sector | 2.45× | 25.0% |
| Direct Health and Medical Insurance Carriers | National industry | 2.04× | 20.8% |
| Outpatient Mental Health and Substance Abuse Centers | National industry | 2× | 20.4% |
| Insurance Agencies and Brokerages | National industry | 1.9× | 19.4% |
| Professional, Scientific, and Technical Services | Sector | 1.83× | 18.7% |
| Veterinary Services | National industry | 1.68× | 17.1% |
| Management of Companies and Enterprises | Sector | 1.55× | 15.8% |
Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Billing and invoicing software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/billing-and-invoicing-software
Singulariki. (2026). Billing and invoicing software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/billing-and-invoicing-software
@misc{singulariki-billing-and-invoicing-software,
title = {Billing and invoicing software},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/tools/billing-and-invoicing-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.