Brick Street AI
Most businesses have AI tools. Few are getting real value from them. I build the operating system underneath: custom AI architecture that fits how your business actually runs, whether you're a sole operator or running a 200-person GTM org.
Who This Is For
The architecture is the same whether you're a SaaS company or a local business ready to stop doing things manually.
SaaS & Enterprise
You're a VP, operator, or executive at a SaaS or enterprise org of any size. You've run the pilots, bought the licenses, sat through the demos. Adoption has plateaued. The architecture underneath was never built. That's the gap I close.
Local & Regional SMBs
You're running a business. Could be solo, could be a hundred people. You don't have an AI roadmap yet and you don't want to guess. You need someone who can translate it into plain English, build something that actually runs, and hand you the keys.
The Problem
Businesses buy tools. Adoption plateaus at 20%. The technology works. The architecture around it usually doesn't. Skills without context produce generic output. Context without governance is a liability. The missing piece is the operating system that ties everything together.
What I Build
From custom AI skills to automated workflows, designed so every person on your team gets real value from it on day one, regardless of where they sit.
01
Custom AI skills built around how your team actually works, with your company context, tone, and process baked in. Specific to you.
02
Agents that run in the background, surface the right information at the right moment, and close the loop without anyone asking twice.
03
Live intelligence layers that connect your tools and data so your AI is working from your reality, not generic training data.
04
Role-based access, data boundaries, and audit trails, built into the architecture from the start. Governance is a design requirement, full stop.
Who I Am
Cybersecurity Professional & AI Systems Architect
I'm a cybersecurity professional with a background in GRC and third-party risk management. I built my technical foundation at cybersecurity SaaS companies, deep in SIEM, SOC operations, and supply chain risk. Governance and risk are baked into everything I build.
I also spent 11+ years carrying a number. As an AE, Solutions Consultant, and CSM, I've lived inside GTM motions from both sides of the table — technical and commercial at the same time. I understand what revenue teams actually need because I was one.
In those roles I watched the same pattern repeat: teams buried in manual processes, information scattered across tools, workflows that consumed hours and produced inconsistent output. When AI became capable enough to actually solve those problems, I started building. The framework I developed became the proof that it works at scale.
I'm completing the AIGP certification through IAPP because responsible AI deployment needs more than good intentions. Governance is a design requirement, not an afterthought.
11+ years in quota-carrying roles. AE, Solutions Consultant, and CSM. I've carried a number, closed deals, and managed renewals. The business problems I solve are ones I lived from the other side.
GRC and third-party risk background. Years working in and around SIEM, SOC operations, and supply chain risk. Governance is where I live.
AIGP certification in progress. AI Governance Professional through IAPP. Because responsible deployment needs more than good intentions.
Georgian Partners AI Governance working group. Part of the broader industry conversation on responsible AI deployment at scale.
The Philosophy
The thinking behind the work. This is what separates architecture that sticks from AI initiatives that die in pilot.
The model is a commodity. What you feed it is not. Every engagement starts by mapping what your team knows that an AI doesn't, then closing that gap systematically.
Tools fail because they ask people to change behavior before they've seen the value. I build for ease of use first: smart defaults, clean outputs, zero friction. When the system is easy, adoption follows.
2.5 weeks to v1. Every week spent planning is a week your team isn't building trust with the system. Ship something real, then iterate on what you learn.
Every workflow closes the distance between a question and its answer. For everyone on the team. That's the mission. That's the bar.
Pricing
Enterprise-grade architecture for SaaS and enterprise teams. Accessible entry points for local businesses. The framework is the same. The scope is what scales.
Track 1: SaaS & Enterprise
Strategy & Audit
$2,500
flat fee
2-hr session + written AI opportunity assessment. Credit applied to any Build booked within 60 days.
AI Operating System Build
$15k – $35k
project fee
Full end-to-end: skills, MCPs, persona contexts, data integration, governance, rollout + docs.
AI Architecture Retainer
$5,000
per month · 20 hrs
New skills, new agents, ongoing system evolution as the org grows.
Track 2: SMB / Local Business
AI Readiness Sprint
$1,500
flat fee
Workflow audit + 2–3 AI use cases configured + team walkthrough. Get set up right without overbuilding.
Workflow Build
$2,500 – $5k
project fee
One painful process, automated. Intake, email drafting, internal Q&A, scheduling. Fixed deliverable.
Monthly AI Partner
$750
per month · 5 hrs
Ongoing refinements, async support, monthly check-in. Steady hand, not a one-off vendor.
Work With Me
Every engagement starts the same way: a free 15-30 minute call. We'll talk through the problem, where you are, and what you've already tried. From there we'll figure out together whether a real engagement makes sense and what that looks like. If it doesn't make sense, I'll tell you that too.
Send me a note and we'll find time. If you want to see engagement types and pricing first, start there.
q@brickstreetai.comFirst call is always free. No obligation.