Anyone can wire a tool. Architecting it specifically for your business, what scales, what's safe, what connects to what you already have, and what it should cost, is the part that gets skipped. We audit what you've got, architect the plan, then automate the build. In that order. Every time.
There are two very different reasons to bring AI into your business. Start with the one that fits where you are right now.
Not automate everything.
Just stop having your best people buried in repetitive work, formatting reports, drafting follow-ups, summarizing calls, building decks. AI handles the volume so your team shows up for the thinking. Faster output. Higher quality. Same headcount doing more meaningful work.
I want this → IntegrationNot replace anyone. Not AI taking over.
AI handles the repeatable, processable work, around the clock, at scale, while your team reviews outputs, approves decisions, and focuses on creative, relational, strategic work that can't be automated. Your team wakes up to reports, not to-do lists. The system worked overnight.
I want this →Most businesses need both, eventually. The $197 Assessment Call tells you which one to build first.
Whether you're deploying a human or an agent, the output is only as good as the instructions behind it. An AI that doesn't know your process will hallucinate one. A team member who doesn't have documented SOPs will invent one. The problem, and the fix, is the same.
Before you build with AI, build the foundation it runs on.
Get the SOP Suite →The same framework I install with clients, packaged for your team to build themselves.
Pick your top manual processes. Plug in the numbers. See the annual cost, and what AI automation could give back. Typically, organizations find $80,000–$400,000 in automatable annual cost in the first diagnostic (depending on size and scope).
Team size
We'll estimate how many total processes exist across your organization.
Fill in at least one complete process above.
What this process costs you annually
This is just one process.
For a Solo / 1–5 people organization, we typically identify 10–15 critical manual processes like the one(s) you entered above. If each carries a similar annual cost, the total opportunity looks like this:
— What you just confirmed
You just put a dollar figure on work that runs on a person, not a system. When the process lives in someone's head, the business stops when they do. The only way to remove that risk is to document and systematize it, so the work keeps running whether that person is in the room or not. That's exactly what an engagement fixes.
30 minutes. I'll tell you which processes to automate first, what it'll cost, and what you'll get back. Credited toward any engagement booked within 30 days.
Pick the depth that fits where you are. We diagnose, we build, we stay.
Stay on retainer. Stay ahead of the curve.
Every build starts with a diagnosis. The $197 call is the fastest way in.
Before we talk about AI agents and decision layers, we have to know where you actually are. Most of the work I do is helping founders see honestly which level they're on, and which level they actually need next.
The repeatable, non-emotional, non-decision work that's still being done by hand. Most of what eats your day doesn't need AI; it needs a system that actually exists.
Tools at this level
You're here if your invoicing isn't automated, your onboarding still pings a VA, or your CRM is "we use it sometimes."
Once the manual stuff is wired, AI starts earning its keep: drafting copy, analyzing calls, generating creative, building dashboards, producing the artifacts a small team used to outsource.
Tools at this level
You're here if Level 1 is solid and you're paying humans to do work AI can do faster, cheaper, and at higher volume.
By Levels 1 & 2, you have a team of humans, agents, and automations generating data every single day. The question is whether you're actually using it. Level 3 is your AI data analyst plus your AI board of advisors, working in tandem: dashboards and agents continuously reading the signal, then thought partners (CFO, CMO, COO personas) helping you decide what to do about it. Better decisions, sooner, more strategically, in partnership with advisors you otherwise couldn't afford.
Tools at this level
You're here if Levels 1 & 2 are working and you're tired of making major decisions without consulting the data first.
Most "AI architects" will sell every client a Level-3 buildout, whether they need it or not. I won't. The biggest unlock for most businesses I talk to isn't AI; it's the Level-1 automation they should have done five years ago. We start where you actually are.
Not because AI is hard. Because most integrators are tool-fluent, not business-fluent. Six common reasons it goes sideways, and what changes when there's an auditor's eye in the room.
AI is a multiplier. Whatever's chaotic, manual, undocumented, or inefficient in your business doesn't get fixed when you bolt automation on top of it. It gets compounded. Faster handoffs through a broken process aren't a win, they're 10× the failures, 10× the rework, 10× the customer complaints.
What we do insteadDiagnose the chaos. Architect the system. Then integrate.
You can't automate your way out of a broken process. Most integrators start with the tools because the tools are what they know. Tools, not diagnosis.
What we do insteadThe audit comes first. Always. Every time.
Wiring Zapier ≠ understanding margin. AI that doesn't tie back to your P&L is theater, it looks like progress but doesn't move the numbers that matter.
What we do insteadEvery build gets measured against the P&L. CPA-trained, on purpose.
An AI that 3×'s your inbound leads is great until fulfillment, inventory, and customer service collapse under demand they weren't staffed for. Most integrators fix one area and break two others.
What we do insteadMap the whole business before we touch a single workflow.
AI agents with database-delete permissions. Customer data piped through unaudited tools. Sales bots blasting 50,000 messages with no review layer. Most integrators don't think about the question that comes after, "why did we let it do that?"
What we do insteadAudit and risk training underneath every build. Compliance isn't optional.
The most expensive AI build is the one nobody on your team knows how to use. No documentation. No training. No adoption layer. The system dies the day the consultant leaves.
What we do insteadDocument, train, and stay through adoption. The system runs without us, by design.
AI integration done right runs without you.
AI integration done wrong runs you. And the bill is steeper than the rebuild. You pay in trust with your team, credibility with your clients, friction with vendors and suppliers, breaks in your delivery, and time you can't get back. The cost of hiring the wrong person to do AI isn't a line item. It's a relationship list.
Cohorts teach you what's possible. They don't have time to teach you what to prioritize for your business, what compliance to worry about, what your stack actually needs, or how to keep an agent from doing something catastrophic. That's the gap I fill, between knowing AI is real and having it shipped, safely, in your business.
Because in 30 minutes I'll save you tens of thousands of dollars in misdirected build cost. $197 keeps the call serious, both directions. It's also fully credited toward any engagement you book within 30 days, so if we work together it's effectively free.
Most AI consultants are technical. They can stand up an agent. Few of them have ever read a P&L, owned a business, signed an enterprise contract, or sat through a compliance audit. I have. I'm a CPA, ex-KPMG and Delta auditor, Lean Six Sigma certified, and an operator who co-founded a company in 2022 and 11×'d revenue using exactly this work.
To be clear: that doesn't mean every engagement starts with a full P&L review or a deep financial diagnostic, it means the lens I apply to every question, every recommendation, and every build is shaped by finance, compliance, and operations. The questions I ask on the call come from that lens. The risks I flag come from that lens. I'm not just looking at the tool you want to build; I'm looking at the business you're building it inside.
I'll tell you on the call. Most of the businesses I talk to don't need AI yet, they need Level 1 automation (CRM workflows, Zapier, basic system hygiene) that's been possible since 2018. If that's you, I'll say so, and you'll save your AI budget for when you're actually ready.
I may make recommendations on the assessment call, I've worked with most of the major platforms and I'll have an instinct from the intake form. But I won't commit to a stack until I'm in the build and have actually seen how your business is wired: your data, your team's skill level, your compliance footprint, and what's already in place.
Picking a stack before doing the diagnostic is exactly how clients end up with $40K of tooling they can't use. The call gets you a directional recommendation. The build gets you the final stack, selected after I understand the system, not before.
It depends on more than just which Level you're on. Three things actually drive timeline:
1. Your level. Foundation builds (Level 1) are usually 2–4 weeks. Operations builds (Level 2) run 4–8 weeks. Decision-layer builds (Level 3) are 8–16 weeks.
2. Scope & scale. Team size, volume of data, number of platforms in play, and how clearly the business already understands itself. If I have to dig to figure out what your packages are, who your customers are, or what your mission actually is, the diagnostic takes longer, because I'm not skipping foundational steps to get to a build that won't hold.
3. Stakeholder availability. If a Level-3 build needs me to interview ten stakeholders, and we can only book one meeting per week, the project takes ten weeks before I write a line of build logic. The faster you can get me information and decisions, the faster the build moves. That's the part of timeline you control.
I'm tool-agnostic. I've built on Zapier, Make, n8n, HubSpot, Airtable, Notion, ClickUp, Claude, ChatGPT, custom GPTs, custom skills, MCP servers, the list goes on. The right stack is the one that fits your team, your budget, and your compliance requirements, and that recommendation comes after I'm in the build, not on the first call.
Yes. NDAs are non-negotiable and on file before we start any engagement, before any information moves in either direction, and before I'm granted access to a single tool. Data-handling protocols are part of every build, encryption, access boundaries, agent permissions, audit logs, the works.
And, wink, don't forget my first career. Before any of this was AI architecture or operations consulting, I was an auditor at KPMG and Delta. Risk management is at the core of how I see every system. The audit lens isn't a marketing line on this page; it's the lens I look through first. Your risk is my problem before it's yours.
If even three of these read your mind, the call's worth $197. We'll know in 30 minutes whether you're a Level 1, 2, or 3, and whether AI is the answer or you've been sold a problem you don't have.
You went down a Claude (or ChatGPT) rabbit hole and came out more confused than when you started.
You took a cohort, watched the webinar, sat through the all-day workshop, and now you can't tell what to build first.
You know AI matters. You also know your invoicing still pings a VA. You'd like the truth on which to fix first.
You want someone who can explain, in plain English, why this build pays for itself in nine months instead of nineteen.
You're worried about compliance, security, agent permissions, data, and your last quote came from someone who wasn't.
You're a solopreneur, a 5-person team, or a 200-person company. The question isn't size, it's whether you're being honest about Level 1.
You don't want a prompt engineer. You want someone who can read your P&L, your process map, and your contracts in the same hour.
You're not afraid of AI. You're afraid of choosing the wrong thing to build first and burning $40K finding out.
The market is filling up with prompt engineers who can wire a tool but can't read a P&L. They'll deploy agents with database-delete permissions. They'll send 50,000 SMS messages without thinking about TCPA. They'll automate your sales follow-up and accidentally violate FINRA. As a CPA, ex-KPMG and Delta auditor, and Lean Six Sigma certified operator, I've spent my entire career being trained to find that exact kind of risk.
Agent permissions. Database-delete authority. SMS & email regulation. Data-residency rules. Privacy compliance. Audit trails. The controls that decide whether your AI is an asset or a liability.
What I bring as a CPA: I price every potential build by revenue impact, profit margin, and time-to-payback before we touch a tool. Half the buildouts I see in the wild are technically impressive and financially worthless.
Auditors are trained to find what's wrong before someone tells them. KPMG and Delta paid me for a decade to do exactly this. Half of "we need AI" calls become "we need to fix Step 3 of your sales process and the AI you're proposing won't matter."
Anyone can map a process. Anyone can stand up an agent. I'll tell you which step of your business is actually broken, and then we'll automate, consolidate, eliminate, or rebuild it. The deliverable isn't a tool. It's a business that runs differently than it did before we started.
If you're not learning it or installing it now, you'll lose ground to competitors who didn't wait. You watched it happen to Blockbuster, Borders, Kodak, BlackBerry, every newspaper you grew up reading. The story isn't new, the technology layer is, and it's moving faster than the last one ever did.
It's the ground you lose to a competitor who didn't wait. It's the buildout that gets twice as expensive next year because the rebuild costs more than the build. It's the operator who books the assessment call this week, and the one who books it after their next slow quarter.
Casualties: Blockbuster, Borders, Yellow Pages, Tower Records.
Adapters: every business that built a website before they thought they needed one.
Casualties: Kodak, BlackBerry, hotel chains that ignored Booking.com.
Adapters: every operator who moved to SaaS, mobile-first, and the cloud.
Casualties: print-only retailers, agencies that wouldn't touch Meta ads.
Adapters: brands that learned the new acquisition channels in time.
Casualties: TBD. The category is being written right now.
Adapters: operators who treat this like the internet in 1998, not a fad.
If you got into business after 2010, you've never lived through one of these shifts as an owner. You're living through one now.
I started building CRM workflows, multi-platform automations, and trigger-based operating systems in 2018, back when most automation consultants were selling Mailchimp drips. The clients changed. The tools changed. The thinking (root-cause, holistic, financially-aware, compliance-aware) didn't.
AI architecture isn't a pivot for me. It's the same skill applied to a new generation of tools. Find the manual task. Find the broken handoff. Find the human doing what a system could do. Build the system. That was true with Zapier in 2019. It's true with Claude agents in 2026.
Now → which level are you on?
Fill out the intake. We get on a call. By the end of it, you'll know which level you're on, what to build first, and whether I'm the right person to help you build it. If I'm not, I'll tell you that too.