You will get a private AI office build: local RAG, governed cloud AI, agent workflows

Let a pro handle the details

Buy Generative AI services from Campbell, priced and ready to go.

Let a pro handle the details

Buy Generative AI services from Campbell, priced and ready to go.

Project details

For solo professionals and small firms handling sensitive client data (tax, legal, financial, medical-adjacent): a governed AI office built on your own hardware. Private document retrieval (RAG) over your files, cloud AI behind policy enforcement with tamper-evident audit records, and agent workflows for email triage and document filing - without your client data leaking into someone's training set.

I build AI governance systems full time, and I run my own company on this same architecture: engineered memory, local retrieval, governed agents working every morning.

How it works: we start with a scope call and a written fixed quote. The listed price covers a scoped first phase (architecture, workstation configuration, and the first working capability). A full office buildout typically runs 3 to 6 months depending on scope, delivered in phases you approve one at a time. You get documentation your next hire can run with.

Honest by design: I will tell you what will not work, what does not need AI, and what the audit trail can and cannot prove.
AI Algorithms
Recurrent Neural Network
AI Applications
Conversational AI
AI Development Language
Python
AI Models
GPT-4, LLaMA

What's included $2,500

These options are included with the project scope.

$2,500
  • Delivery Time 70 days
    • AI Model Integration
    • Model Deployment
    • Model Documentation
Campbell C.Status: Offline

About Campbell

Campbell C.Status: Offline
AI Governance & Integration Consultant | 20+ yrs Systems Engineering
Tallahassee, United States - 1:40 pm local time
I build AI systems that organizations can actually trust - and prove it.

I am currently building an AI governance product: a gateway that sits between people and the AI they use, enforcing policy on every interaction and writing tamper-evident audit records. Building it meant solving the problems most companies are just now hitting: AI that forgets everything, AI that leaks what it shouldn't, AI that says "done" when it isn't, and AI nobody can audit after the fact. I run my own company on the systems I build - engineered memory, retrieval over private documents (RAG), governed agents that read mail, triage work, and draft responses every morning.

Before AI, I spent 20+ years doing business analysis and systems engineering for government and industry - state agencies, DoD programs, regulated environments. That matters more than it sounds: AI projects fail on requirements and process, not models. I bring both halves.

What I do for clients:

- AI readiness and governance assessments: what to adopt, what to control, what to prove
- Private AI buildouts for professionals and small firms: local RAG over your documents, governed cloud AI, agent workflows for email/calendar/filing - without your client data leaking into someone's training set
- Prompt and workflow engineering with verification built in (I wrote a 21-hour course on it)
- Requirements, process analysis, and systems engineering - the discipline underneath it all

I work fixed-scope where possible, tell you honestly what will not work, and leave you with documentation your next hire can run with.

Veteran-owned (SDVOSB). Tallahassee, FL. Book a 15-minute consult and bring your hardest question.

Steps for completing your project

After purchasing the project, send requirements so Campbell can start the project.

Delivery time starts when Campbell receives requirements from you.

Campbell works on your project following the steps below.

Revisions may occur after the delivery date.

Scope call and written quote

We map your workflows, data sensitivity, compliance obligations, and hardware. You get a written architecture plan and fixed quote for the phases.

Review the work, release payment, and leave feedback to Campbell.