Richmond, VA · Available Now

Secure internal AI workflows
for Richmond service firms.

One broken workflow. One controlled pilot. 14 days.

I identify the process costing your team the most time, design one secure AI workflow using the tools you already own, and hand your team the keys — without adding headcount or buying new software.

Book the AI Workflow Audit — $1,500 See How It Works

Principal-led delivery ◆ AWS · Azure · GCP ◆ HIPAA / SOC 2 aware ◆ Richmond-based

10+

Years Cloud Arch

Cloud Platforms

AWS Certifications

Principal. Direct.

What Gets Fixed

Three workflows. Immediate impact.

These are the first pilots I deploy for healthcare, finance, and professional-services teams — using Microsoft 365 or Google Workspace tools you already pay for.

Inbox Triage & Response Drafting

Incoming requests are automatically routed, context is summarized, and first-draft responses are ready before staff open the email. Recurring intake, client follow-up, and approval chains stop falling through the cracks.

Best fit: legal, accounting, insurance, advisory

Meeting Notes → Tasks → Owners

Every call and internal meeting produces a structured action log with owners and due dates — automatically. Decisions stop living in someone's head or buried in a recording no one watches.

Best fit: operations, finance, project-heavy teams

Internal SOP & Policy Assistant

Staff ask questions in plain English and get accurate answers drawn from your own procedures, policy docs, and shared drives — not a generic internet response. Tribal knowledge becomes searchable.

Best fit: healthcare admin, HR, compliance-heavy ops

Start with the AI Workflow Audit — $1,500

This Is For You If

Your team handles a lot of email, documents, or approvals
Staff waste time hunting for answers across SOPs or shared drives
Managers keep doing manual triage and follow-up
You're on Microsoft 365 or Google Workspace already
You want AI deployed with controls, not chaos
10–100 employee service firm

This Is Not For You If

You only want prompt training or an AI class
You want a custom app before fixing underlying process
There's no internal owner to run the pilot after handoff
You're looking for a vague "AI strategy session"

The Engagement Model

Three Tiers. One Outcome.

Every engagement operates on three layers — all delivered by one person. Senior expertise upfront, a purpose-built AI agent second, and ongoing stewardship that keeps delivering value long after the initial engagement ends.

◆ Tier One

Fractional IT Manager &
AI Integration Engineer

Embedded senior leadership without the salary or the layers. You work directly with me — owning cloud strategy, vendor relationships, security posture, and AI adoption roadmap. Real decisions made, not slide decks delivered.

Cloud architecture & cost governance (AWS · Azure · GCP)
CI/CD pipeline buildout & DevOps modernisation
AI/ML integration into existing business workflows
HIPAA · SOC 2 · compliance alignment
Team coaching and engineering standards
Vendor evaluation and contract negotiation

◆ Tier Two — The Deliverable

Your AI Agent,
Trained on Your Business

The engagement culminates in a custom agentic AI — a digital oracle built from the strategic work done together. RAG-powered, MCP-connected, tuned to your ops, your goals, your stack.

Tuned RAG pipeline over your internal knowledge base
Secure MCP integration with your tools & data sources
Agentic workflows that automate decision logic
Business-goal alignment built into the system prompt
Monitoring, audit logs, and feedback loops
Handoff documentation + self-managed operations

◆ Tier Three — Evolve

Continuous Evolution
& Obelisk Stewardship

The agent you launched gets smarter. Quarterly strategy reviews, model updates, new tool integrations, and performance tuning keep your oracle aligned with where your business is heading next — not where it was when we shipped.

Quarterly AI readiness & opportunity reviews
Model upgrades and prompt re-tuning as business shifts
New MCP tool integrations & knowledge base refresh
Performance monitoring, cost optimization, drift detection
Security posture re-assessment & compliance updates
Priority async advisory for your internal engineering team

The Process

From Discovery to Deployed Agents.

A structured engagement that ends with a working system — not a presentation, not a roadmap, a live agentic AI in your stack.

01 · DISCOVER

Business & Stack Audit

Deep-dive into your cloud accounts, CI/CD pipelines, security posture, vendor contracts, and team structure. We map every workflow, identify technical debt, and define the 2–3 AI use cases that will deliver the highest ROI. You walk away with a written assessment — even if we go no further.

02 · EMBED

Fractional Engagement

I join your team as a fractional IT leader — weekly standups, async Slack availability, and hands-on delivery. Architecture decisions, pipeline buildouts, cost optimization, and vendor negotiations happen in parallel. Your team gets mentorship; your leadership gets a trusted technical voice.

03 · BUILD

RAG + Agent Architecture

Ingest your internal knowledge base into a secure vector store. Design MCP tool integrations with your existing systems — Jira, Slack, Salesforce, AWS Cost Explorer. Wire agentic reasoning layers with business-goal alignment baked into the system prompt. Every component is tested against your real workflows.

04 · TUNE

Alignment & Hardening

Iterative feedback loops with your team on agent outputs. Red-team the system for hallucinations, data leakage, and edge cases. Security review, audit logging, and compliance alignment (HIPAA, SOC 2) where required. The agent earns trust before it ships.

05 · HAND OFF

Deploy & Transfer

Full production deployment with infrastructure-as-code. Runbooks, monitoring dashboards, and team training so your people own it completely. Knowledge transfer is the deliverable — not vendor lock-in.

06 · EVOLVE

Ongoing Support

Optional retainer for model updates, new tool integrations, and performance tuning as your business evolves. Quarterly strategy reviews to identify the next AI opportunity. Your oracle gets smarter over time.

nycolai-agent — deploy_agent.py

$ python deploy_agent.py --client acme-corp --env production

# Initializing oracle context from secure vector store...

✓ RAG pipeline online — 4,812 business embeddings indexed

✓ MCP tools connected: [Slack, Jira, AWS Cost Explorer, Salesforce]

✓ Goal alignment layer active — 6 business objectives loaded

✓ Audit trail → CloudWatch (HIPAA-compliant logging enabled)

# The Obelisk is alive. 24/7 availability. Zero additional headcount.

$ █

AWS Bedrock LangChain MCP Protocol RAG / Vector DB Amazon SageMaker Terraform IaC GitHub Actions CloudWatch Zero Trust IAM TypeScript · Python

Engagement Packages

Pick Your Entry Point.

Structured packages that scale with your needs — every one delivered directly by the principal. No account managers. No junior handoffs. Every path leads to the same place: smarter infrastructure and a self-sustaining AI working on your behalf.

Subscription

AI Advisory

$1,500_/mo

Month-to-month · Cancel anytime

4 hours/month dedicated advisory
Bi-weekly 30-min strategy call
AI readiness assessment
Cloud architecture review (quarterly)
Priority async support via Slack
CI/CD pipeline work
AI Agent buildout
Compliance alignment
IaC buildout

Starter

Fractional Consult

$3,500_/mo

10 hrs/month · 3-month minimum

Monthly architecture & strategy review
Cloud cost audit + optimisation report
Async Q&A and decision support
Vendor review (1 per month)
CI/CD pipeline work
AI Agent buildout
Compliance alignment

Get Started

Jason Campbell.
One Hire. Full Stack.

10+ years architecting cloud infrastructure for healthcare, fintech, and enterprise retail. Leader of platform engineering teams. Available directly — no agency markup, no account manager, just the architect putting AI to work.

Richmond, VA. Remote and hybrid engagements nationwide.

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Secure internal AI workflows for Richmond service firms.