OpenAI Software / SaaS North America

Basis

Document Processing · IT Operations Automation

"We’ve worked with OpenAI from day one," says Mitchell Troyanovsky, co-founder of Basis. "Each model improvement broadens what our agents can take on.

Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.
Founded in 2023, Basis builds AI agents used by top accounting firms—designed to take on structured accounting work with the reliability and depth those tasks require. The team uses OpenAI o3...

Reported impact

Business outcome

Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.

  • Productivity Improvement
  • Scalability

Solution

"We’ve worked with OpenAI from day one," says Mitchell Troyanovsky, co-founder of Basis. "Each model improvement broadens what our agents can take on. As reasoning improves, we unlock more complex, longer-running workflows and grant our agents greater autonomy." Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth. Some startups use AI to solve a point-in-time problem. Others build systems that get better as AI improves. Basis (opens in a new window) is the latter. Founded in 2023, Basis builds AI agents used by top accounting firms—designed to take on structured accounting work with the reliability and depth those tasks require.

Data flow

Founded in 2023, Basis builds AI agents used by top accounting firms—designed to take on structured accounting work with the reliability and depth those tasks require. The team uses OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5 to power AI agents that help accounting firms automate repetitive tasks like reconciliations, journal entries, and financial summaries while giving accountants full visibility into how decisions are made and control over the process.

Solution architecture

4 components · 1 layer
  1. Compute
    • GPT-5 Provides deep reasoning inside the customer workflow.
    • GPT-4.1 Handles fast-response reasoning tasks and shorter interactive turns in the workflow.
    • o3-Pro Validates high-stakes outputs and explains reasoning for complex decisions.
    • o3 Coordinates or reasons through structured multi-step tasks.

Architecture clues

  • Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.
  • Founded in 2023, Basis builds AI agents used by top accounting firms—designed to take on structured accounting work with the reliability and depth those tasks require.
  • Handles fast-response reasoning tasks and shorter interactive turns in the workflow.
  • Provides deep reasoning inside the customer workflow.
  • Some startups use AI to solve a point-in-time problem.

Evidence from the source

"Each model improvement broadens what our agents can take on. As reasoning improves, we unlock more complex, longer-running workflows and grant our agents greater autonomy."
"We’ve worked with OpenAI from day one,"
"We’ve worked with OpenAI from day one," says Mitchell Troyanovsky, co-founder of Basis.
Built with OpenAI o3, o3‑Pro, GPT‑4.1, and GPT‑5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.
Transparency Evidence & methodology 80/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value80/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. OpenAI

    Basis customer story

    First-party
    https://openai.com/index/basis/
    Source type
    Vendor-published customer story
    Published
    Aug 12, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Aug 12, 2025 · OpenAI · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.