You will get Custom AI Agent System You Own Outright, Code and Prompts Included
Project details
Most AI agent work is sold as a managed service you rent forever. This is the opposite: a system built for you and transferred outright.
Built by an architect who runs production multi-agent infrastructure daily, not a chatbot demo.
What you get
→ Agents with defined jobs and scoped permissions, not one model doing everything
→ A named point where a human reviews before anything commits
→ Built in your accounts, credentials issued in your name from day one
→ Documentation covering the architecture and how to change it
→ One live walkthrough at handoff
Why it's different
→ You own the code, the credentials, the prompts, and the accounts
→ Nothing runs on my hardware, so nothing stops if we part ways
→ Scope is defined at discovery, so you know what you are buying
Choose your depth
→ Foundation: one agent, scoped and transferred with ownership documentation
→ System: multi-agent architecture, integrations, 30-day launch
→ Sovereign Build: full architecture, MCP interfaces, dedicated buildout
A discovery session comes first. That is where the system gets defined, and where I tell you if you do not need one.
Built by an architect who runs production multi-agent infrastructure daily, not a chatbot demo.
What you get
→ Agents with defined jobs and scoped permissions, not one model doing everything
→ A named point where a human reviews before anything commits
→ Built in your accounts, credentials issued in your name from day one
→ Documentation covering the architecture and how to change it
→ One live walkthrough at handoff
Why it's different
→ You own the code, the credentials, the prompts, and the accounts
→ Nothing runs on my hardware, so nothing stops if we part ways
→ Scope is defined at discovery, so you know what you are buying
Choose your depth
→ Foundation: one agent, scoped and transferred with ownership documentation
→ System: multi-agent architecture, integrations, 30-day launch
→ Sovereign Build: full architecture, MCP interfaces, dedicated buildout
A discovery session comes first. That is where the system gets defined, and where I tell you if you do not need one.
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$997
|
Standard
$3,997
|
Advanced
$9,997
|
|---|---|---|---|
| Delivery Time | 35 days | 50 days | 70 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$497
Additional Agent
(+ 10 Days)
+$997
Compliance Constraint Review
(+ 7 Days)
+$997Frequently asked questions
About Gabriel
AI Agent & n8n Workflow Architect for Finance & Healthcare
Longwood, United States - 3:25 pm local time
Unlike most "automation" offers, I do not park your business on platforms I control or lock you into my subscriptions. Every workflow, every agent, and every integration runs on your infrastructure, under your API keys, specified before it is built and verified before it is called done.
What I build
→ n8n enterprise workflow architecture with queue-mode, PostgreSQL, and Vault-backed credentials for production workloads
→ Multi-agent AI systems for lead routing, client communication, proposal generation, content pipelines, appointments, and reporting, orchestrated via n8n and powered by leading models
→ Financial advisor webinar funnels and client-acquisition systems for wealth management practices, built with your firm's marketing-compliance review in mind and documented so your reviewer can actually work from it
→ HIPAA-aware healthcare workflows for referral management, onboarding, and multi-channel follow-up
How I work
→ SPEC-first: we map your processes, constraints, and edge cases before any agent or workflow is built
→ Verified delivery: every milestone is tested by exercising actual behavior, not by confirming something exists, across functional tests, data integrity, and governance checks, with a clear pass, fail, or flagged verdict before it is called done
→ Build-to-own: infrastructure as code, clear runbooks, and training so your team can operate the system without me
The record behind that promise: co-founded a HIPAA-compliant AI referral platform (MedMatch Network, 19,900+ physicians), served 4+ years as Fractional COO at Abrahamsen Financial Group, a boutique wealth management, retirement, and legacy-planning practice (concluded March 2026), raised $1.6M in a single year-end campaign for The Nature Conservancy, and drove $30M+ in sustainable home sales at EcoSun Homes. Thirty years across six industries, two companies founded and exited. The same architecture patterns and governance principles behind those systems are what I bring to every Upwork engagement.
If you're ready for AI agents and automation that your compliance officer, COO, and engineering team can all live with, send me a short note describing your current stack and the one process you most want to stop doing manually.
Steps for completing your project
After purchasing the project, send requirements so Gabriel can start the project.
Delivery time starts when Gabriel receives requirements from you.
Gabriel works on your project following the steps below.
Revisions may occur after the delivery date.
Scope confirmation
I review your discovery output and confirm the exact agent list, what each one does, and what counts as done, sized to fit the delivery window. Anything beyond that list is quoted before it is built.
Architecture and access design
Each agent gets a defined job, a scoped set of permissions, and a named point where a human reviews before anything commits. You approve the architecture before any code is written.