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For fintech, payments & lending · Reg E · TILA · ECOA aware

In regulated finance, visibility without compliance is a liability.

When borrowers and businesses ask AI who to trust with their money, engines weigh licensing disclosures, clear terms, and credibility signals. Examiners check the same things. We build both at once: AI visibility with copy that survives regulatory review.

Aday Interactive, Inc. is a Coral Gables AI systems firm. We help fintech, payments, and lending companies get quoted accurately by AI engines and pass regulatory review, with public copy built against TILA, Regulation E, ECOA, and state licensing rules.

No credit card, and no obligation.

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The new first impression

Customers ask AI before they apply.

ChatGPT, Perplexity and Google’s AI answers now hand customers a short list of names, and they cite the sources they trust. We build so your company is one they can find, trust, and cite by name.

Marker sketch of a vintage manual card imprinter with its roller bar drawn back

Why this matters right now

Borrowers and buyers now ask AI to explain your product, and it will answer whether its facts are right or not. Three pressures meet here: what AI says about your rates and licensing, marketing that ships faster than compliance review, and trust as the real conversion rate.

  1. 01AI engines describe your product, accurately or not
  2. 02Marketing and compliance ship at different speeds
  3. 03Trust is your conversion rate
Hallucination

AI engines describe your product, accurately or not

When ChatGPT summarizes your rates, terms, or licensing from thin data, a made-up APR or wrong state coverage becomes your UDAAP problem. The fix is structured, authoritative data engines can quote instead of guess.

§1026.24

Marketing and compliance ship at different speeds

Growth pushes copy live. Compliance reviews it later. Trigger-term violations under TILA §1026.24, missing ECOA notices, undisclosed state licensing. Regulators and plaintiffs find each one the way we do: automated scan, sixty seconds.

Trust

Trust is your conversion rate

In lending and payments, visitors bounce on the first vague term or missing license number. The disclosure architecture that satisfies examiners is the same one that converts skeptical borrowers.

Run the check. Ask ChatGPT to describe your product, rates, and state coverage. If it guesses wrong, that answer is already in front of your borrowers.

The pipeline we ship for this vertical

Application started Contacted Documents collected Underwriting Approved Funded
Free · FinTech, Payments & Lending guide

Start with the free FinTech, Payments & Lending guide

A complete, plain-language guide to compliance-aware intake and lifecycle nurture that respects PCI, KYC, AML, and TCPA. Yours to keep, instantly.

  • The full guide, emailed right away and yours to keep
  • Then run your free scan to see how AI reads your firm today
  • No cost and no obligation

How Aday Interactive, Inc. helps

Four disciplines, matched to what your firm needs first.

  1. 01Become a source AI engines trust to quote Start here
  2. 02Speed-to-lead that never quotes what it should not
  3. 03AI adoption built for your next exam
  4. 04Product experiences with disclosure as architecture
Marker sketch of a vintage manual card imprinter with its roller bar drawn back
01

Compliance and growth at once

We build the disclosure architecture that satisfies examiners and converts skeptical borrowers in the same pass, not as a legal patch after launch.

02

Structured data, not guesswork

We give engines authoritative rate and licensing data to quote, so AI stops improvising your APR or your state coverage.

03

Honest measurement

We architect for accurate AI citation and measure it on a set schedule: Day 30, 60 and 90 on the 90-Day Plan, then monthly if you keep us on hours. We never guarantee a specific AI output, because no honest firm can.

Related reading

Built for a firm like yours

Who you work with

“I help regulated practices get found, trusted, and cited by AI, before it hands their best clients to lesser competitors.”

Brandon Aday, Founder, Aday Interactive, Inc.

Founded the firm in 2002. Seven years at Microsoft Latin America, then digital growth at Univision, Catalina Mobile Payments, and Cascade Financial Technology, and AI work at Southern Glazer’s Wine & Spirits. He leads every engagement personally.

Meet Brandon →

Compliance posture

TILA / Reg Z Reg E ECOA GLBA UDAAP

Aday Interactive, Inc. builds marketing and intake systems with reference to TILA/Regulation Z, Regulation E, ECOA, GLBA, UDAAP principles, and state lending-license disclosure requirements. We are not a law firm or compliance counsel of record. Your compliance officer retains final review.

Last reviewed 2026-07.

Questions firm owners ask

7 answers
Which regulations actually govern our marketing site?
More than most teams assume. TILA and Regulation Z govern trigger terms and rate presentation (§1026.24). ECOA and Regulation B govern equal-credit language. GLBA governs your privacy notice. UDAAP covers anything unfair, deceptive, or abusive. And state licensing rules govern where and how you can advertise a loan product. The scan maps each of these to the pages most likely to be treated as advertising.
Can AI engines misquote our rates?
Yes, when your data is thin. If an engine cannot read a clear, structured rate and term, it infers one, and a made-up APR or wrong state coverage attributed to you can become a UDAAP problem. The defense is structured FinancialProduct data the engine can quote directly instead of guessing.
Is AI-generated marketing copy safe in regulated finance?
Only with guardrails and a compliance-review gate. We constrain marketing AI so it cannot state a rate, payment, or term without the required companion disclosures, and every draft passes a compliance check before it ships. That is faster than manual drafting and safer than unguarded AI.
What does the free scan check, and is it safe to run?
It reviews eight things on your public pages: licensing disclosure, TILA trigger terms, ECOA language, APR presentation, a GLBA privacy notice, entity-name consistency, FinancialProduct schema, and visible security signals. It reads public pages only, with no login, and nothing is stored beyond the report we generate for you.
We have a compliance team. What do you add?
Speed and automation. Your compliance team reviews; we give them a continuous scan posture, marketing-compliance tooling that flags trigger-term problems before copy ships, and AI-specific expertise most compliance teams have not built yet. We work with your team, not around it.
What does an engagement cost?
It starts free with the scan, then $14.97 for the full report, then a $97 founder-led audit, then done-for-you work. Each step is priced on its own. Two exceptions: the Growth Systems Intensive credits toward Implementation, and Custom AI Build Scoping credits toward the Proof of Concept, when you start within 60 days. Every step is optional and priced on our pricing page.
Do you work with regulated startups before licensing?
Yes, and it is cheaper to start there. Disclosure-first architecture built from day one costs far less than retrofitting a live product under examination pressure. We build the structure so that when licensing lands, your marketing and product are already defensible.

See what an examiner and an AI engine see

The scan takes about a minute and quotes any trigger-term problem word for word, before you talk to anyone.

Run the free Trust & Disclosure Scan

Not ready to talk? Download the free FinTech, Payments & Lending guide.

Response time

Response time is a target, not a promise. Our AI intake agents aim to answer in under 60 seconds, and typically respond within one to three minutes. Actual timing depends on third-party voice, SMS, and network delivery, which we do not control. We measure the real number and report it in your dashboard rather than guarantee it. Speed also depends on correct account setup, carrier registration (A2P 10DLC), and your intake configuration.

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