Not every AI company is high-risk — a B2B AI analytics SaaS underwrites like any software business. But specific AI business models trip underwriting flags fast: consumer apps with free trials converting to subscriptions, platforms generating user-directed content, NSFW capabilities, high refund rates, and companies scaling from zero to significant volume in months. Centurion places AI businesses across that whole spectrum, matching each model to processing relationships that fit it.
The honest framing: AI businesses are reviewed based on their specific business model and underwriting requirements. What the model generates, who controls the output, how billing works, and how moderation is enforced determine whether a file is routine, high-risk, or adult-classified.
Productivity and analytics tools are standard-risk. Generative platforms producing images, video, voice, or companions get reviewed on what outputs are possible — with NSFW capability moving the file into adult classification.
When users direct generation, underwriters treat outputs like user-generated content: they review moderation, prohibited-content prevention, and audit capability.
Flat SaaS subscriptions are simplest. Free-trial-to-paid conversions, usage-based billing with variable invoices, and token packs each add dispute vectors that get reviewed.
Consumer AI apps show elevated 'I didn't get what I expected' refunds and trial-conversion disputes. Existing history — good or bad — shapes terms heavily.
Volume going from $10k to $500k monthly in a quarter is a fraud pattern to a risk system, even when legitimate. Accounts need volume headroom negotiated upfront.
AI products sell globally by default. Cross-border card mix raises fraud rates and needs regional 3-D Secure strategy.
Most AI startups launch on Stripe — reasonably, since it's fast. The trouble arrives later: content-capability reviews flagging NSFW or gray-area generation, dispute spikes from trial conversions, and volume growth triggering reserve impositions or holds with little warning. For AI models anywhere near content, companionship, or aggressive consumer funnels, a merchant account with the model explicitly underwritten upfront is more durable than hoping an aggregator's review never lands.
We classify your model honestly — standard software, high-risk consumer AI, or adult-classified — prepare the moderation and billing documentation the classification requires, and place the file with acquirers that board it. Processing options may be available depending on underwriting, business model, location, processing history, and other factors. No AI company is automatically approved; the file quality decides.
AI company files vary with the model, but typically include:
Documentation requirements vary by processing partner and business model. This list is a general guide, not a universal checklist.
Dedicated guides for the business models we work with in this category:
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In-depth answers to the questions high-risk merchants ask most.
Every document high-risk underwriters ask for, why they ask, and how to prepare a file that moves quickly.
The dispute lifecycle, prevention tools like alerts and RDR, and how to win representments with compelling evidence.
How rolling, upfront, and capped reserves work, what percentages are typical, and how to negotiate them down over time.
Why merchants land on the Mastercard MATCH list, the reason codes, how long it lasts, and options if you're already listed.
Speak with Centurion Payment Services about your business model and available processing options. Processing options are subject to underwriting and vary by business model, location, and processing history.