The solopreneur problem.
If you run a one-person IT shop, your billable hours are capped by the hours in your week. AI is the only path to growing revenue per head without hiring. These are the three time-sinks we address directly.
Pain 1
Proposal and status-report work consumes 3–5 hours a week. Every client wants a branded monthly recap. You write them from scratch because a template from three years ago no longer fits your voice or your stack.
Pain 2
Repetitive engineering tasks — M365 user provisioning, license assignments, group management, password resets — eat the same hours across every client. None of them require judgment, but none are automated yet.
Pain 3
Security reviews, vendor assessments, and compliance questions arrive from clients without warning. Without a second pair of eyes or a knowledge base to pull from, every one of these is a cold-start research project.
6-week curriculum.
Every week has a concrete deliverable. Nothing that stays in a workbook.
AI fundamentals for the working operator
No theory, no vendor slides. Hands-on setup of Claude, Cursor, and n8n in your actual environment. We cover the failure modes you will hit in week 2 — hallucination patterns, prompt length limits, tool-call reliability — so they don’t derail the builds.
five-tool stack live in sandboxProposal and status-report automation
Build a Claude-powered proposal generator from your own discovery-call notes. Then build a monthly status-report workflow that pulls from your ticket data and generates a branded client recap in your voice, not a generic template’s voice.
1 reusable proposal template + status-report workflow shippedTicket triage agent
Deploy a triage workflow on your own helpdesk data. The agent categorizes incoming tickets, routes by urgency, drafts a first-response or KB link, and flags what needs human attention. We cover the QA and override patterns — the agent is a draft, you are still the editor.
1 triage workflow deployed on your real helpdesk or PSAKnowledge-base agent
Index your existing runbooks, SOPs, and client documentation. Build a chat interface your team (or you) can query instead of searching folders. Covers RAG architecture, freshness pipeline, and fallback patterns so the KB doesn’t serve stale answers.
KB agent live on your internal docs, queryable in chatSecurity and compliance shortcuts
Use Claude for SOC 2 vendor questionnaires, security-policy reviews, and client-facing compliance summaries. We cover the prompts that work, the ones that don’t, and how to QA AI-generated compliance output before it goes to a client.
vendor-review prompt library + 1 policy review workflowGoing to market with an AI-augmented practice
How to price AI-augmented IT services. How to describe your stack to clients without overselling. How to measure the time you’re recovering and translate it into a rate conversation. Capstone handover: your personal workflow library is complete.
stack memo + 5-minute client-facing demo videoTools used in this track.
All tools are part of the Intelligent IT production stack. No vendor sponsorships affect what is taught.
| Tool | Used for | Approx. monthly cost |
|---|---|---|
| Claude Pro (Anthropic) | Primary LLM for all builds — proposals, triage, KB, compliance | $20/mo |
| Cursor | AI-assisted scripting for M365/Google admin automation | $20/mo |
| n8n (self-hosted or cloud) | Workflow automation — triage routing, report delivery | $0–$20/mo |
| Microsoft 365 / Google Workspace | Integration target for user provisioning workflows | Existing subscription |
| Anthropic SDK (Node.js) | Custom tool calls, KB agent backend | API usage (~$5–$30/mo) |
Total tool cost during the program: approximately $50–$90/month. Intelligent IT provides demo environments where vendor cooperation allows.
What you ship by graduation.
3 production AI workflows
Proposal generator, ticket triage agent, and KB agent — each running live on your real data before the final session.
Personal AI workflow library
Every prompt, workflow, and script from the 6 weeks in one organized library. Yours permanently. Add to it after graduation.
6-week metrics journal
Weekly tracking of hours reclaimed per workflow. The data to make a rate conversation with clients or justify upgrading your stack.
Target outcomes.
Numbers are targets based on prior cohort data. Individual results depend on client mix, existing tooling, and time invested.
Format and schedule.
- 4 group calls over 6 weeks — Tuesday 7–9 PM ET
- 2–3 hrs async video + workbook per week
- 30-minute 1:1 coaching call every other week
- Slack community open for the full 6 weeks + 30 days post-graduation
- All recordings available within 24 hours of each live session
- Capstone peer review panel in week 6
FAQ
Reserve your seat in the Operator Track.
$1,950 · 6 weeks · 25 students per cohort · 14-day refund if week 1 does not deliver.
Page as of 2026-05-07. Operator Track is part of the Intelligent IT AI Enablement Academy. Pricing and cohort schedule subject to change. Outcomes listed are targets; individual results depend on effort, existing tooling, and client mix. © Intelligent Group (DBA Intelligent IT) · intelligentit.io