All About Producer Path
A 60-day training system for new insurance producers with licensing guidance, 150 bite-size modules, AI call practice, scorecards, and a manager dashboard.
Less busywork · faster turnaround · decisions still yours
Your team is buried in repetitive work. We take it off their plate.
Your best people lose hours every week to copying, searching, drafting, and chasing. We build systems that handle that prep work for them and send every decision that carries weight back to the person who owns it. You get the hours and the faster turnaround back, and you keep the judgment and a clean record of every call.
Industry is not the filter. The workflow terrain is. The best projects have repeatable work, usable data, a clear owner, and a result worth measuring.
01 / WHAT WE BUILD
Organized around the work you want off your team's plate.
Industry is not the filter. The workflow is. We build systems in four areas, designed around the tools and data your business already uses.
REVENUE & GROWTH
Revenue & Growth Systems
CRM workflow and follow-up, account research and qualification, proposals and quoting, content and campaign operations, retention and churn.
OPERATIONS & SERVICE
Operations & Service Systems
Intake, classification and routing, repetitive document and data work, reporting and daily briefs, service delivery, approvals and handoffs.
KNOWLEDGE & DECISIONS
Knowledge & Decision Systems
Permission-aware internal search, cited answers from your documents, RFP and proposal support, research and trend monitoring, executive decision support.
CUSTOM SOFTWARE
Custom AI Software
Internal portals, training platforms, AI-enabled products, agent control systems, and purpose-built applications that don't fit a standard tool.
02 / THE BUILD FLOOR
We show the work.
No invented customer wall. No mystery screenshots. These are systems we shipped and run inside our own operating companies, across revenue, operations, knowledge, and custom software, plus clearly labeled concepts you can walk through.
03 / PROOFWhere we built it
We ran this ourselves before we offered it to you.
Before the Oversight Layer™ was a service, it ran in production inside our founder's own operating companies. These are real businesses, not stock quotes or invented logos.
"We move a high volume of UGC, so nothing can go out unreviewed. They built the AI analyzer inside our internal platform that scores every piece of content before it's cleared to publish, plus the automations that run our sales funnel and back-office. A person still makes the final call and we can pull the record on any decision. That's the line between AI we rely on and AI that becomes a liability."
EM
EVO Marketing
UGC agency · content scoring + funnel automation
"We ship apps fast, so they built us an internal dashboard that took the busywork out of getting each one out the door, and a custom AI tuned to our app-install ads on Meta. Nothing reaches users or spends real ad budget until we approve it. We got the speed without giving up control."
LZT
LZT Twins App LLC
App studio · internal tooling + paid-ads AI
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 and their permission, will be added here as engagements complete.
04 / THE MODEL
The change is not "more AI." It is a better operating model.
Before
- Requests are scattered across inboxes, portals, and spreadsheets.
- Skilled staff spend time copying, searching, drafting, and chasing.
- Review happens informally, if it is documented at all.
- Automation becomes another tool the team has to babysit.
After
- Incoming work lands in one governed queue.
- AI gathers the facts and prepares the repetitive work.
- A person sees the exceptions and makes the decision.
- The approved action and review record stay together.
05 / HOW IT WORKS
Built around the systems you already use.
We do not ask your operation to move into a generic AI app. We connect the work where it already happens, then install the review and recordkeeping layer around it.
01
Connect
Inbox, AMS, CRM, billing platform, document storage, and approved templates.
02
Prepare
AI classifies, extracts, checks, summarizes, and drafts the repetitive work.
03
Decide
Your team reviews exceptions and approves consequential actions before they move.
04
Prove
The system records what happened, who approved it, and when it moved.
AMSCRMEMAILDOCUMENTSBILLINGCALENDARREPORTING
AI prepares the work·
A person keeps the decision·
Every action on the record·
One-click pause, always·
Custom AI for real business workflows·
AI prepares the work·
A person keeps the decision·
Every action on the record·
One-click pause, always·
Custom AI for real business workflows·
06 / SPECIALTIES
Industries where we've gone especially deep.
Insurance, wealth management, and medical billing are industries where we know the workflows, the risks, and the review rules cold. They are specialties, not eligibility requirements. Not in one of these? That is fine. We scope around the workflow, not the label on the company.
Start with your operation
Move policy service work into one review queue.
The system watches the inbox and AMS, prepares routine service work, and gives licensed staff a clean decision instead of another blank form.
Example systems
07 / ENGAGEMENT
Start with one workflow, not a transformation program.
The engagement gets more specific as the evidence gets better. No build is proposed before the workflow, risk, and expected operating change are written down.
STEP 01
Free Fit Call
Choose one painful workflow and confirm whether it is worth mapping.
STEP 02
Opportunity Assessment
Document the current work, controls, integrations, and practical ROI.
STEP 03
Fixed-Scope Build
Build, test, and approve the workflow before it touches live operations.
STEP 04
Managed Operations
Monitor exceptions, maintain the system, and expand only when it earns the next workflow.
08 / GOVERNANCE
Built for the person who is still accountable.
Control should match consequence. Low-risk internal work can move automatically within approved limits and stay logged. High-impact actions wait for the right person. AI cannot inherit your judgment or responsibility, and the system is designed around that.
Control matched to consequence
Low-risk preparation runs automatically within limits; consequential output waits for an authorized person instead of moving invisibly.
Evidence by default
Drafts, changes, approvals, sends, and exceptions are recorded together.
Bounded access
Roles, permissions, data access, and escalation rules are part of the build.
A real stop control
Your team can pause the workflow while preserving the queue and the record.
"I built these systems inside operating companies before offering them as a service. The lesson was simple: AI creates leverage only when the people responsible for the outcome can still see, approve, and stop it."
Before All About AI, I founded and still run EVO Marketing and LZT Twins App LLC. We are a focused, founder-led firm. Colton Romano leads client engagement, I lead the build and delivery, and clients work directly with us.
Noah Figley
Founder, All About AI
Why We Built the Firm →
09 / QUESTIONS
Questions buyers ask before the first call.
It is a custom implementation engagement. We map the workflow, build the system around your tools and controls, install the review layer, and can operate and maintain it after launch. You are not buying a generic chatbot subscription.
Not by default. Consequential output is routed to an authorized person for review. The exact approval and escalation rules are defined during the Assessment and agreed before launch.
Common projects involve inboxes, CRMs, agency management systems, billing platforms, document storage, calendars, and reporting tools. The fit call identifies what is accessible and what should remain manual.
It depends on the workflow, data access, integrations, and review requirements. The paid Opportunity Assessment produces the written scope, timeline, and fixed implementation price before a build is proposed.
We spend 20 minutes on one workflow: where work arrives, who handles it, what judgment it requires, and where the delays or exposure sit. If it is not a fit, we say so. If it is, we explain what an Assessment would cover.
Bring one repetitive workflow. Leave with a clearer next move.
The first conversation is free, focused, and specific to your operation. No payment and no commitment to a build.