About All About AI

We deploy AI that does real work, without surrendering control of it.

Most businesses in regulated industries don't have an AI problem. They have an oversight problem.

01, Position

We are a governed-AI implementation firm. Not an AI vendor.

The distinction matters to the businesses we work with.

What we are

The governed implementation layer.

An AI vendor sells you a model or a tool. If your back-office workflows aren't wrapped in governance architecture (an approval inbox, an audit trail, a kill switch, documented human checkpoints), a capable model is a liability, not an asset.

We implement AI across regulated back-office workflows and wrap every deployment in The Oversight Layer™: the control plane that keeps a licensed professional accountable for every output. The AI does the volume work. The human owns the judgment call and the audit trail.

What we're not

Not these things.

An AI vendor that sells a model or SaaS subscription
A marketing agency or lead-gen firm
A set-it-and-forget-it automation shop
A firm that guarantees revenue or compliance outcomes
A replacement for your compliance counsel
A firm that deploys AI without documented human oversight

02, Mission

Deploy AI that does the work. Keep the human in control.

AI has a real, substantial role in the back-office operations of regulated businesses. The models are capable. The efficiency gains are real. What's missing, in most deployments, is the governance layer that makes those gains safe to capture when you are personally on the hook for every client interaction.

The governing belief. In insurance, advisory, and healthcare billing, a single rogue AI output is not an IT problem, it is an E&O claim, an SEC exam finding, or a HIPAA breach. We built The Oversight Layer™ to make those outcomes the result of a deliberate system failure, not a surprise. Every deployment we do includes the human checkpoint, the audit trail, and the kill switch. Not as add-ons. As the core of what we deliver.

What we control

AI workflow design and configuration
The governance architecture (approval inbox, audit log, kill switch)
Human checkpoint design and escalation rules
Playbook constraint and output parameters
Disclosure architecture where required
Ongoing system maintenance and edge-case handling

What we don't control

Your specific regulatory obligations (counsel determines those)
Your existing AMS, practice management system, or CRM performance
Staff adoption or workflow adherence after handoff
Third-party platform or model provider changes
Revenue outcomes, we install infrastructure, not results

03, How we work

The Assess · Build · Operate method.

Every engagement follows the same three phases. No build is proposed until the Assessment is complete. No system goes live until you've reviewed every component and approved the governance architecture in writing.

Assess [scoped]

We map your back-office workflows, the manual, repetitive ones your team handles daily. We identify where AI can safely take on the volume work, where the compliance exposure sits, and what the governance architecture needs to look like. We deliver a written scope with a fixed implementation price. No build is proposed until you've seen the opportunity clearly priced.

Human checkpoint, Scope document reviewed and signed off by you before any configuration begins. Nothing is assumed; everything is documented.

Build [supervised]

We configure the AI workflows, wire in the Approval Inbox, install the Audit Log, set up the escalation rules, and hand you the Kill Switch. Every output template and every workflow parameter is reviewed and approved by your team before the system goes live. The governance layer is built in from the ground up, not added after deployment.

Human checkpoint, You review and approve every workflow before activation. Edge cases and out-of-scope scenarios are escalated to a human, never guessed at by the AI.

Operate [audited]

The system runs. Your team works from the Approval Inbox, reviewing AI drafts, approving, acting. The Audit Log captures every step: what the AI generated, who reviewed it, who approved it, when it was executed. You always know what happened and have the record to prove it.

Human checkpoint, The dashboard is yours. One-click pause. Full export of the Audit Log at any time. You own the data and the controls; we maintain the infrastructure and handle edge cases.

04, Our clients

Three industries. One common problem.

We work in regulated, compliance-bound businesses where the professional is personally liable for client interactions, where AI deployment without governance carries serious professional consequences, and where the back-office volume work is real and significant.

Insurance Agencies

AI Policy-Ops & Renewal System

COI processing, AMS intake automation, renewal prep, and remarketing sequences, all with a human-approval queue and E&O audit trail built in.

TCPA lawsuit exposure and E&O liability on client communications. The audit trail supports your defense.

RIAs & Wealth Management

AI Compliance Operations

Governed client communications, AI-assisted meeting notes and follow-ups, and a full audit log built for SEC exam readiness under the Marketing Rule and FINRA supervision requirements.

SEC Marketing Rule (206(4)-1) governs RIA advertising. Rule 206(4)-7 (Compliance Program Rule) requires a written compliance program. FINRA Rule 3110 (for broker-dealer / FINRA-member firms) requires supervisory procedures and review. Every client interaction must be supervisable and documented.

Medical Billing & RCM

AI Claims-Scrubbing & Denial Prevention

AI-assisted claims review, coding flag detection, and denial-pattern analysis, with a human approval queue before submission and HIPAA-aligned data handling throughout.

HIPAA requires appropriate administrative, physical, and technical safeguards for workflows involving Protected Health Information. AI increases throughput while the human approval checkpoint supports those safeguards.

Regulatory references are for context only, not legal advice. Compliance requirements vary by business type, state, and regulatory body.

05, Who built this

The founder.

Noah Figley

Founder, All About AI

I've spent the last several years building and running AI automation inside my own companies, and learning the hard way that the model is the easy part. The hard part is control: knowing what the AI did, who approved it, and being able to prove it after the fact.

Before All About AI, I founded and still run EVO Marketing, where we operate AI-assisted client acquisition and communication at volume, and LZT Twins App LLC, a software company where AI is built directly into the product. Running both taught me the same lesson from two directions: AI creates real leverage, and it creates real exposure the second an output reaches a customer with no human behind it.

So I built the oversight system I needed to run AI at volume without losing the thread: an approval inbox, an audit log, documented human checkpoints, and a kill switch. That system is now the core of what we deliver. I'm not here to sell you a model. I'm here to make sure the AI doing your work never puts your license, your book, or your clients at risk.

We're a focused, founder-led firm. Colton Romano leads client engagement, I lead the build and delivery, and when you hire us you work directly with us, not an account manager.

The origin

What we saw that made us build this.

The observation that drove this business is straightforward: the tools exist to dramatically reduce the manual, repetitive back-office work in regulated businesses. The models are capable. The efficiency is real and measurable.

But in insurance agencies, advisory firms, and medical billing shops, deploying AI without a governance layer is not a technology shortcut. It is a liability problem. One unreviewed output. One undisclosed AI interaction. One unaudited approval. That is an E&O claim, an SEC exam finding, or a HIPAA breach, depending on your industry.

The gap was not capability. It was the oversight architecture. That is what we built. The AI handles the volume; the human holds the accountability, and the Oversight Layer™ makes sure that separation is explicit, documented, and defensible.

06, What we stand for

Four things we will always do.

We show you the opportunity before we ask for a build commitment.

The Assessment is a fixed-fee diagnostic. It produces a written workflow map and a fixed implementation price. You know the full cost and the full scope before any configuration begins. No build is proposed until the opportunity is clearly on paper.

We put a human checkpoint on every AI workflow, permanently.

The Oversight Layer™ is not a launch-phase precaution. It is the permanent architecture of every system we deploy. The Approval Inbox, the Audit Log, and the Kill Switch operate for the life of the engagement, not just during onboarding.

We say what the numbers say, not what sounds good.

We cite sources for market claims. We label estimates as estimates. We don't guarantee results, we install governed infrastructure and show you what it does on a dashboard. Whether that translates to specific outcomes depends on your business. We are honest about that distinction.

We do not deploy AI without the governance layer. Not once.

The approval inbox, audit trail, and kill switch are not optional components for clients with higher compliance needs. They are the baseline of every engagement we take on. If a client does not want governed AI, we are not the right firm for that work.

07, Proof

Proof, starting with where we built it.

Before we offered the Oversight Layer™ as a service, we ran it in production inside our founder's own companies. These are real operating businesses, not stock quotes.

"We run client acquisition and communication through AI every day. The reason it works is simple: a human signs off before anything goes out, and we can pull the full record of any action on demand. That's the line between AI we can rely on and AI that becomes a liability."

EVO Marketing

AI-assisted client acquisition

"We wanted AI inside the product without ever shipping an unreviewed output to a user. The approval-and-audit approach gave us the speed without giving up control. It is the only way we would put AI in front of customers."

LZT

LZT Twins App LLC

AI built into the product

Straight about it. EVO Marketing and LZT Twins App LLC are operating companies where our founder built and ran the Oversight Layer™ in production before offering it as a service. We do not fabricate results or invent client logos. Independent client case studies, with real numbers, their permission, and the specific context, will be added here as engagements complete.

Start here

Start with a free fit call. See what AI can safely do for your operation.

Fixed-fee diagnostic. Written scope and implementation price delivered before any build begins. No commitment until it makes sense.

Book a Free Fit Call → Or talk to us first →

Fixed-fee diagnostic. Scope and price delivered in writing before any implementation begins.