Fazeshift GTM brain

Fazeshift sells AI agents that automate collections, cash application and disputes for finance teams with complex accounts receivable.

category

AI accounts receivable automation

market profile

  • text: AR teams work across ERPs, banks, inboxes and portals, and difficult exceptions often remain manual.
  • text: The company raised a $17 million Series A in 2026 as it expands autonomous finance workflows.

personas

  • title: CFO or VP of finance
    pains:
    • Late cash undermines forecasts and working capital
    • Growing invoice volumes require more collections capacity
  • title: Accounts receivable manager
    pains:
    • Staff chase unpaid invoices and match incomplete remittances across systems
    • Customer portals, disputes and customer-specific rules create manual exceptions
  • title: Controller or cash application lead
    pains:
    • Lump-sum payments and multiple entities complicate reconciliation
    • Needs reliable review of exceptions and financial data security

icp

  • text: Mid-market and enterprise B2B businesses with high invoice volumes, multiple entities and complex remittances.
  • text: Staffing, construction, logistics, manufacturing, field service and wholesale teams with industry-specific AR workflows.

message pillars

  • text: Handle the exceptions that make AR automation difficult.
  • text: Increase cash collection capacity without adding staff.
  • text: Work inside existing finance systems.

objections

  • objection: Our payment and remittance workflows are too unusual.
    response: Scope a pilot on actual remittances, customer rules and disputes and measure exception handling.
  • objection: We cannot replace our ERP.
    response: Assess API, file-based and screen-based connections to existing systems during scoping.
  • objection: How much will it cost as our team grows?
    response: Request a quote for the selected modules and workflow scope; the company says it does not charge by seat or AI token.

competitors

  • name: HighRadius
    why: Accounts receivable and collections automation alternative.
  • name: Paraglide
    website: https://www.paraglide.ai
    why: AI agents for receivables, customer billing questions and payment follow-up.
  • name: Monk
    why: AI contract-to-cash alternative covering collections and cash application.

influencers

  • name: Caitlin Leksana
    url: https://www.fazeshift.com/about
    why: Co-founder and CEO whose experience chasing invoices shaped the product.

keywords

  • accounts receivable automation
  • AI cash application
  • automated collections software
  • remittance matching
  • reduce days sales outstanding
  • AR reconciliation software

voice

  • Empathetic to finance operations
  • Plainspoken about messy work
  • Results-oriented

signals

  • text: An acquisition adds ERPs and entities to a finance team's reconciliation workload.
  • text: A staffing company has rising invoice volume and needs to match payments against VMS data.

stack

  • NetSuite
  • Stripe
  • Bullhorn

pricing

model: contact_sales

motion

sales_led

channels

  • sales demos
  • customer case studies
  • SEO

confidence

high

Founders

  • name: Caitlin Leksana
    title: Founder/CEO
    role: CEO
    bio: Caitlin is the co-founder and CEO of Fazeshift. Before Fazeshift, Caitlin was CEO of a crypto marketing automation startup where she sold to global enterprises including Square Enix, dYdX, and the founder of Marvel Studios. She spent 2 years as a consultant at BCG advising tech companies on product, operations, and pricing strategy. She received her MBA from Harvard Business School and has a deep personal understanding of the operational pain points that Fazeshift has set out to solve.
  • name: Timmy Galvin
    title: Founder/CTO
    role: CTO
    bio: Timmy is the co-founder and CTO of Fazeshift. He previously worked at a fintech startup using AI to automate bank operations and financial services. Timmy holds two computer science degrees from MIT and an MBA from Harvard Business School. He served for seven years as a nuclear submarine officer in the US Navy, taught cybersecurity at the US Naval Academy, and holds a software patent for data algorithms.

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