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Director Track

For IT Directors who need to show the board AI results, not AI promises.

$3,950 · 4 weeks · Cohort of 12 Team rate: $14,950 / 5 seats
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The IT Director problem in 2026.

51% of IT organizations cite lack of ticket automation as their top support challenge — above resolution time and cost pressure. The average deflection rate is 23%. AI-enabled organizations reach 40–60%, with best-in-class at 85%. The gap is not tools. It is implementation.

Pain 1

Drowning in L1 tickets. Your senior engineers spend 30–50% of their time on password resets, account provisioning, and basic troubleshooting that should not require a human. The queue never shrinks because the volume grows with headcount.

Pain 2

Board pressure on AI adoption without a clear answer. Every quarterly review includes a question about AI strategy. You have Copilot licensed but adoption is low — 44% of users stop after distrust in the answers, and you don’t have a governance plan to show.

Pain 3

No strategic time. The helpdesk queue, security escalations, and endpoint management leave no room for roadmap work. The CIO wants an AI roadmap. You want to deliver one. The time to build it doesn’t exist while the queue is live.

Pain 4

Vendor lock-in anxiety. Every AI vendor promises 10x. You have seen failed chatbot deployments and Copilot rollouts where trust eroded. You need a framework for evaluating tools that doesn’t depend on taking the vendor’s word for it.

4-week curriculum.

Every week ends with a deployment decision — not a slide deck.

Week 1

AI for IT operations: tooling decisions and architecture

Claude vs. Copilot vs. custom agents — where each fits, how they fail, and how to avoid the distrust failure mode. MCP architecture, agent frameworks, and the buy-vs-build decision for each use case in your environment. Starts with a ticket data audit on your real queue.

baseline deflection rate measured + triage taxonomy approved
Week 2

Helpdesk triage agent

Build and deploy a triage agent on your real helpdesk. The agent categorizes tickets, routes by priority, drafts a first response or KB link, and surfaces what needs L2 attention. We cover the QA and override patterns — the fallback your team uses when the agent is wrong is as important as the agent itself.

triage agent live on your helpdesk, targeting 40–60% deflection
Week 3

Knowledge-base and onboarding agent

Build a KB agent over your internal runbooks and SOPs, then chain it into a 90-day onboarding workflow. New hire triggers AD account, M365 license, group memberships, hardware order, and welcome email. Offboarding reverses the same sequence with an audit trail.

KB agent live + end-to-end onboarding workflow deployed
Week 4

Governance, change management, and team enablement

How to roll out an AI workflow to a team that didn’t build it. Override procedures, feedback loops, and the KPIs you need to report up to the CIO. Covers the governance checklist your CISO needs to sign off on agent deployments in a corporate environment.

30-day roadmap + governance plan ready for CIO review

Tools covered in this track.

Tool Use in this track Integration target
Claude (Anthropic) Primary agent build — triage, KB, onboarding workflow logic Anthropic SDK + n8n
Microsoft Copilot M365 context integration, Teams-based user-facing agent surface SharePoint, Teams, Outlook
n8n Workflow orchestration — routing, triggers, audit trail PSA, AD, HRIS webhooks
Cursor Script generation for AD/M365 automation (PowerShell + Python) Azure AD, Microsoft Graph
HaloPSA / Jira / ServiceNow Integration walkthrough for triage agent deployment Webhook + API patterns

Target outcomes by week 4.

Targets based on prior cohort data and Intelligent IT production benchmarks. Deflection results require your team to operate the triage agent for 2+ weeks to measure.

23% → 40–60% L1 ticket deflection rate. Industry average is 23%; AI-enabled orgs reach 40–60% (Pylon, 2025).
6–10 hrs Weekly hours saved per L1 FTE once triage and KB agents are live and QA’d.
CIO-ready Governance plan + 30-day roadmap signed off by you and your CISO. A document you can walk into a board meeting.

Format and schedule.

  • Weekly live session — Wednesday 6–8 PM ET
  • 4–6 hrs async video + workbook per week
  • Weekly 1:1 coaching call with Manuel
  • Slack community: 4 weeks + 30 days post-graduation
  • All session recordings posted within 24 hours
  • Optional onsite kickoff for team enrollments (5-seat rate)

Group capstone: deploy on your real helpdesk.

Week 4 deliverable

The Director Track capstone is a group project: each cohort member deploys their triage workflow on their real helpdesk, measures the pre/post deflection delta over two weeks, and presents the results to the cohort in week 4. You leave with a deployment document your team can maintain, a measured deflection baseline, and a 30-day roadmap for the next three automation projects — formatted to walk into a CIO review.

FAQ

Yes. A team rate of $14,950 covers 5 seats — the IT Director plus up to 4 L2/L3 engineers. This is the recommended format because the capstone deployment requires your team to configure and test the agent in your real environment. Enroll through the book page and mention the team rate.
Yes, and we cover this directly in Week 1. Copilot and Claude are complementary tools with different strengths — Copilot is strong in M365 context; Claude is better for custom agent builds and multi-step workflows. Week 1 includes a tool architecture session on where each fits, including how to avoid the distrust failure mode (44% of lapsed Copilot users cite distrust of answers as their reason for stopping).
All of it. The Director Track is built around deploying on your real helpdesk, not a sandbox. Week 1 starts with a ticket data audit on your actual queue. The week 4 capstone is a measured deflection test on your live system. We provide data-handling guidance and anonymization patterns for the cohort-share portions.
A 30-day automation roadmap for your department, formatted to walk into a CIO review — baseline deflection rate measured, the deployed triage agent with its QA results, and the next three workflows prioritized by ROI. Most graduates use this as their AI budget justification for the following fiscal year.

Reserve your seat in the Director Track.

$3,950 per seat · $14,950 team rate (5 seats) · 12 students per cohort · Wednesday evenings ET.

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Page as of 2026-05-07. Director Track is part of the Intelligent IT AI Enablement Academy. Pricing and cohort schedule subject to change. Deflection targets are based on Pylon AI Ticket Deflection 2025 data and Intelligent IT production benchmarks; individual results depend on existing helpdesk configuration, ticket volume, and team adoption. © Intelligent Group (DBA Intelligent IT) · intelligentit.io