Fazeshift

AI agent for Accounts Receivable

3.2Score#327 of 999 agents#9 of 27 in Billing and collections agent

Why it ranks #327

Fazeshift, an AI billing and collections agent from YC S24, ranks #327 of 999 AI agents and #9 of 27 in Billing and collections agent, with a score of 3.2 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 0 × 30% 0.0
Scale 5 × 30% 1.5
Momentum 2 × 25% 0.5
Autonomy 8 × 15% 1.2
= 3.2

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
5
8 people, raised $17M.
- +3
  8 people on its YC page5 to 9 people
- +2
  Largest of 2 rounds: $17MExclusive: Fazeshift Scores $17M As Investors Bet On AI-Powered Finance Ops, Starting With Accounts ReceivableSource · 7 May 2026
Momentum
Is it shipping and growing now? 25% of the score
2
Shows funding news.
- +2
  Funding news in the last yearExclusive: Fazeshift Scores $17M As Investors Bet On AI-Powered Finance Ops, Starting With Accounts ReceivableSource · 7 May 2026
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), a batch in the last year (it is YC Summer 2024) (+1)
Autonomy
How much of the job does it do on its own? 15% of the score
8
Autonomous worker: completes whole tasks; people handle exceptions.
- +8
  Level 3 of 4: Autonomous workerCompletes whole tasks; people handle exceptions.
What the model read
- Acts in other systems: 79% likely
- Finishes whole tasks: 61% likely
- Calls itself an agent: 96% likely
Level 3: Completes whole tasks; people handle exceptions.

About Fazeshift

Fazeshift is an AI agent for automating Accounts Receivable. What used to take teams of people and hours of manual work can now be fully automated with Fazeshift.

Caitlin and Timmy met while getting their MBA at Harvard. After graduating, they started a B2B marketing software startup, which is where they first experienced the pain of this process.

The problem stems from fragmented data across software platforms like QuickBooks, Stripe, NetSuite, DocuSign, HubSpot, and Salesforce. Fazeshift’s infrastructure connects the data across these software platforms and uses LLMs to automate the previously manual workflow.