HGV Technical AI Enablement Program

01 — What we heard

Training that meets your team at their level

Senior, technical, skeptical

Your leaders have a decade or more in systems, operations, and development. Generic AI training loses that room in the first hour.

Built in your environment

Every session runs against a real sandbox on your own stack. Skills transfer to production, not to a demo.

Your use cases, not generic ones

The curriculum is scoped to hospitality operations and P&L scenarios specific to HGV.

02 — Program at a glance

Program at a glance

Audience: ~10 technical SLT
Pre-work: 3 hrs of diagnostic interviews before Friday 1
Format: Five Friday virtual sessions, 3–4 hours each, plus structured homework on the Section AI platform
Cadence: Five Fridays, mid-June start (US ET / MT)
Environment: HGV sandbox on Azure and Databricks — not localhost
Stack: Azure AI Foundry, Databricks Agents & Genies, Cursor, Claude Code & CoWork
Use case focus: HGV hospitality operations and P&L workflows
Delivered by: Senior AI specialists with a Big Four–caliber engineering bench
Total commitment: ~33–36 hours over the sprint

03 — Who delivers this

Led by senior technical specialists, not generalists

The calibre of the person at the front of the room is the single biggest predictor of whether technical training lands.

More than a decade in enterprise systems, operations, and software development
The technical depth you would expect from a top-tier global consulting and engineering practice
Fluency in real AI deployment: architecture, integration patterns, and production guardrails
A working command of AI economics, budgeting, and build-versus-buy decisions
The credibility to challenge and be challenged by senior engineers

"Practitioners who can talk the talk with your technical people, sit inside your stack, and turn AI from a buzzword into a deployment plan your team can run."

04 — The five-Friday sprint

The five-Friday curriculum

WEEK 1— Foundation — Frame, govern, discover

AI strategy and the CTO mandate: where HGV is and where it is going
Governance frameworks — NIST AI RMF, EU AI Act, HGV's policy stack. Each leader leaves with a one-page governance template for their function
Token economics and cost defense at HGV scale, hands-on with Azure Cost Management
Use case discovery: each leader brings 2–3 hospitality or P&L candidates and selects one to build across the sprint
Homework: document the chosen workflow and sketch the agent architecture

WEEK 2— Build — The stack, hands-on

The four-pillar stack: Azure AI Foundry, Databricks Agents & Genies, Cursor for devs, Claude Code & CoWork for business and product
Hands-on Foundry: provision a project, deploy a model, ground an agent on HGV sandbox data
Databricks Agents & Genies: lakehouse-native RAG and Mosaic AI essentials
First working agent shipped to the HGV sandbox by end of day — not localhost
Homework: build out the workflow agent on the Section platform

WEEK 3— Clinic — Guided build, identity foundations

Live build clinic: each leader works on their chosen agent in small groups of three with the engineering bench coaching
Identity and Entra ID for agents: authentication, least-privilege patterns, audit trails
Data classification and customer data handling — sets the foundation for the CISO session
Multi-agent orchestration patterns: practical introduction, when and why
Homework: finish the agent build and prep for capstone team formation

WEEK 4— Secure — CISO red-team, production readiness

CISO red-team session: 90-minute deep dive on the questions your CISO will actually ask — permissions, prompt injection, data exfiltration
Production readiness: observability, evaluation, red-teaming, incident response
Cost optimization at scale: model selection, batching, open-source hosting tradeoffs
Cloud and CoWork security at scale: audit trails and governance dashboards
Homework: team formation and capstone agent dress rehearsal

WEEK 5— Capstone — Hackathon and Demo Day (~6–7 hrs)

Three teams of three (plus pairs), each taking one discovered hospitality or P&L workflow
Sandbox build day with the engineering bench coaching in the room — working agent shipped to HGV's Azure or Databricks sandbox
Demo Day to the CTO, Evgeny, and CISO
Winning agent earns a sponsored Phase 1 production deployment
Phase 1 deployment plans handed in by each leader for their function

05 — What your leaders walk away with

Outcomes

Working agent shipped to HGV's sandbox on Azure or Databricks
Governance memo for their function — NIST, EU AI Act, and HGV-aligned
Cost-control framework defendable to the CFO and CISO
Ability to shepherd their team through AI decisions and speak the language with confidence
Phase 1 deployment plan with three or more prioritized use cases
Sponsored production deployment for the winning capstone agent

06 — Investment

Investment

$4,000

per participant

Five-Friday custom sprint, live virtual delivery, dedicated sandbox, senior specialist-led, scoped to HGV hospitality and P&L use cases.

Final cohort total confirms once the roster is locked. Any third-party platform or licensing costs, if introduced, are billed separately and disclosed in advance.

Technical AI Enablement Program