Ship production AI
in 4 weeks.
Salesforce will quote you $300k and 9 months. I embed with your team and ship one production system in four weeks — on your cloud, with your engineers shipping alongside me. You own the code when I leave.
From $150k · Retainers from $25k/mo · No procurement gauntlet · Your source, your IP, your cloud
Not a 9-month POC. One working system, shipped, live.
A fraction of what Salesforce, IBM, or Deloitte quote for comparable scope.
Across SaaS, e-commerce, and operator-led services.
What you actually get vs. what Salesforce is pitching.
If any of this reads wrong, forward it to the big-firm proposal on your desk and ask them to match it. Most can't. Read the full comparison & The Honest RFP Test →
One production AI system. Four weeks. Your team trained to maintain it.
Embed + scope
I spend the first week inside your org. Shadowing ops, interviewing engineering, auditing existing tooling. We lock the sprint to the one system with the highest leverage — not whatever your vendor's sales deck said.
Architecture + foundation
Infrastructure stood up in your cloud. Auth, logging, observability, prompt scaffolding, eval harness. I write the first 40% of the system and review it with your engineering lead daily.
Build alongside your team
Your engineers co-write the remaining 50% with me. This is the training phase — by the end of week 3 they can extend it without me. Live in a staging environment with internal users hitting it.
Production + handoff
Ship to production, runbooks delivered, SOC 2 evidence packet signed off, exec readout with your CEO or board. Then 60 days of direct Slack access for questions.
- 4-week sprint to production, not 9-month POC
- Embedded with your eng + ops team (weekly exec readouts)
- I build alongside you — no offshore pass-off, no outsourced second shift
- Deploys in your cloud (AWS / Azure / GCP / Vercel Enterprise)
- Claude Opus 4.7 — not whatever 2023 model your vendor resells
- Full source code, IP, and model access ownership on handoff
- SOC 2 Type II + HIPAA-eligible pipelines on request
- Direct Slack access to me — no ticket queue, no account exec layer
This is built for a specific kind of buyer.
Most of my best engagements start with someone reading this section and saying “that's me.” Most of my worst engagements would have been avoided if the buyer read the right column first.
For you, if
- VP / Head of Engineering with an approved AI budget and no approved vendor
- CTO whose CEO just asked "what's our AI story" at the last board meeting
- CIO evaluating a $300k Salesforce Einstein quote and skeptical
- Chief Innovation Officer running a lab that needs to ship, not deck
- Head of Ops whose team is drowning in work an AI system could automate
- Founder/CEO at a $10M–$200M ARR company who wants real AI, not a chatbot veneer
Not the right fit, if
- Buyers shopping the cheapest offshore team
- Orgs where engineering won't touch any system they didn't build
- Compliance programs that require 12-month vendor onboarding before work begins
- Teams who want a vendor they can yell at instead of a partner who'll push back
The work is live. Audit it before you commit.
Not a weekend-course AI operator. Deep hands-on experience across Claude, GPT-5, Gemini, and specialized models for specific domains.
Reported across shipped systems — e-commerce PDPs, ops automations, AI sales agents. References available on request under NDA.
Rate limiting, threat scoring, honeypots, CSP, prompt-injection defense. Live on this URL right now. Your security team can audit before signature.
The standard deliverable is already in front of you.
This exact site ships with a production AI sales agent, a portfolio system serving live iframe previews, five layers of chatbot security, multi-region rate limiting, Meta pixel integration, SMS deeplinks, and a custom resume drawer — all of it source-available for your engineering team to walk through. If a name-brand consultancy can show you comparable shipped work in a 4-week window, hire them instead.
Deploys into the infrastructure your security team already approved.
No vendor SaaS hop. No new platform your CISO has to pre-clear. Systems run in the cloud account your IAM policies already cover — the same place your other production workloads live.
- AWSLambda, Bedrock, RDS, IAM
- AzureFunctions, OpenAI Service, AD
- Google CloudCloud Run, Vertex AI, IAM
- Vercel EnterpriseEdge, Functions, Fluid
Pre-cleared paperwork. Your legal team gets what they need on day one.
Data flow diagrams, model access policies, retention commitments, sub-processor disclosures, and MSA redlines sent before kickoff — so legal + security can pre-approve in parallel while we scope the actual work.
- SOC 2 Type IIEligible via Anthropic API + your cloud
- HIPAAEligible pipelines on request
- GDPREU region deployments supported
- Data residencyNo third-party SaaS hop
Everything a CTO asks before the first call.
They sell you a platform license plus a year-long implementation staffed by people who've never shipped the thing they're selling. I ship production systems in weeks because I build them myself, on your stack, with model access you own. When I leave, you own the code, the data, and the IP — no vendor leash, no $40k/mo seat fees, no 18-month renewal lock-in. Hire them for board-level risk cover; hire me for velocity.
One production system, shipped in four weeks, with your team trained to maintain it. Recent examples: an internal AI operations tool that replaced the work of a 4-person team; a customer chatbot that deflected 42% of tier-1 support tickets in its first month; a voice agent that qualifies inbound leads 24/7 and writes them into Salesforce. You leave with the code, full documentation, a 60-day support window, and a roadmap for the next three systems worth building.
Yes. I've shipped systems through internal audit, legal review, and enterprise procurement. Everything deploys in your cloud (AWS / Azure / GCP / Vercel Enterprise). Anthropic's API is SOC 2 Type II and HIPAA-eligible. I send a full security packet — data flow diagrams, model access policies, retention commitments — to your team before the engagement starts so they can pre-clear it while we scope the work.
No — and that's the point. Code is clean Next.js + TypeScript (the same stack Vercel uses internally), so any half-decent engineering team can extend it. I do a formal handoff in week 4 with your team shadowing, plus a 60-day Slack window for questions. Retainer from $25k/mo is available if you want ongoing co-building or fractional AI leadership, but it's optional, and the code works whether you renew or not.
You shouldn't trust either of us on a pitch deck. You should trust the shipped work. The site you're on right now — including a 5-layer security system on the chatbot, multi-region rate limiting, threat scoring, and a real-time AI sales agent — is the standard deliverable. Walk your engineering team through the source before you commit. If any name-brand consultancy is shipping comparable production systems in a 4-week window, go hire them.
Stop paying Salesforce for a demo.
Ship the real thing.
30-minute discovery call. No deck, no sales engineer, no qualifying bot. If we're a fit, you'll have a scoped proposal in 48 hours. If we're not, I'll tell you within the first 10 minutes.
I take 2 enterprise engagements per quarter. Q1 2026 has 1 slot open; Q2 is on waitlist.