Services › AI Team Training
Generative AI Beta Team Integration Program

BUILD THE TEAM
THAT LEADS
YOUR AI ROLLOUT

A six-session program that moves your organization from scattered individual experiments to structured, responsible AI adoption, led by an internal Beta Team you train along the way.

6
Facilitated sessions
60 Min
Each session
$1,050
Per session
$6,300
Full program
In short

The Generative AI Beta Team Integration Program from You're the Expert Now (YEN) is six 60-minute sessions led by Tony DeSimone, priced at $1,050 per session ($6,300 total). A cross-functional AI Beta Team learns responsible AI use, tests real workflows, drafts an AI usage policy, explores custom assistants and AI agents, and leaves with a phased plan for organization-wide adoption.

Updated October 2026

Responsible AI Adoption That Actually Sticks

This is not a one-time workshop. A selected group from key departments works with Tony DeSimone through practical training, use-case testing, policy development, AI agent education, and rollout planning.

Each session combines instruction with hands-on work using your organization's approved tools and real business needs. The result is internal capability and accountability: a team that understands responsible AI use, can identify valuable workflows, and can guide broader adoption with appropriate human oversight.

Before the first session

Tony meets with you to assemble the Beta Team from key departments, set participation expectations, reinforce data-protection practices, and pick the first workflows worth testing.

Program Investment
$6,300

Six 60-minute facilitated sessions at $1,050 per session.

  • Beta Team formation guidance
  • Worksheets and hands-on exercises
  • Organization-specific use-case development
  • AI usage policy development support
  • AI agent and knowledge-tool education
  • Phased rollout plan
  • 1-on-1 reinforcement recordings when appropriate

From Experimentation to Ownership

01

Unstructured AI adoption

A dedicated internal team with clear responsibility for testing, learning, and sharing practical use cases.

02

Risk and governance gaps

Shared expectations for accuracy, hallucinations, bias, privacy, security, compliance, confidential information, and human review.

03

Good ideas with no owner

Isolated AI ideas become documented workflows, internal guidance, and a phased adoption plan.

From Fundamentals to Long-Term Adoption

01

Understanding generative AI

Responsible AI use in the enterprise, People First, People Last, hallucinations, bias, privacy, security, compliance, prompt engineering, and human review.

02

Custom instructions and communication workflows

AI-assisted email in Outlook and Copilot, summaries, follow-ups, tone, and custom instructions so AI responses reflect your voice.

03–04

Use-case identification and exploration

Find repetitive tasks, test organization-specific workflows for research, reporting, customer communication, administration, marketing, and proposals, and document what works. Session 4 includes a Microsoft Word and Copilot deep dive, with PDF worksheets for every exercise.

BetweenPolicy

AI usage policy development

Start a first draft with YEN's AI Policy Maker chatbot, then develop it together to cover approved tools, privacy, confidential information, cybersecurity, human review, accuracy, ethics, compliance, escalation, and employee responsibilities.

05

Custom AI assistants, AI agents, and knowledge tools

Build role-specific chatbots, explore internal knowledge tools and notebooks, and learn where multi-step AI agents need human approval points.

06

Data, presentations, and long-term AI goals

Copilot in Excel for analysis and formulas, Copilot in PowerPoint for decks, and priorities for continued training, governance, measurement, and organization-wide rollout.

Practical Outputs, Not Just Ideas

Trained AI Beta Team

An internal group actively using approved tools and supporting colleagues.

AI usage policy

An organization-wide policy or framework for privacy, security, verification, and compliance.

Use-case library

Organization-specific use cases, custom instructions, and repeatable workflows.

Agent experience

Hands-on practice with custom assistants, AI agents, and knowledge tools.

Phased rollout plan

Clear next steps for adoption across the organization.

AI Team Leader

A designated internal owner to keep Beta Team meetings going.

1-on-1 recordings

Individual training recordings that reinforce what each member learned.

Efficiency gains

Less time on routine tasks, redirected to higher-value work.

Questions Teams Ask Before They Start

What is an AI Beta Team?

An AI Beta Team is a small cross-functional group inside an organization that tests generative AI tools safely, documents what works, and helps guide adoption across the rest of the organization.

How much does the Beta Team Integration Program cost?

$1,050 per 60-minute session, or $6,300 for all six sessions.

How is this different from a workshop?

A workshop introduces tools and skills. This program is built for sustained adoption: it adds a trained internal team, an AI usage policy, tested workflows, and a phased rollout plan over six sessions.

Who should be on the Beta Team?

Representatives from the business functions that should lead early adoption, such as operations and administration. Tony helps you structure the group before the first session.

Do we leave with an AI usage policy?

Yes. Between sessions, the team drafts a policy with YEN's AI Policy Maker chatbot and then refines it together to cover approved tools, privacy, confidential data, human review, and compliance.

Which AI tools does the program use?

Your organization's approved platforms. Several sessions focus on Microsoft Copilot in Outlook, Word, Excel, and PowerPoint, and the program also works with ChatGPT and other approved tools.

Build an AI-Ready Organization

Confirm the departments that should take part and the tools you've approved, and we'll schedule the Beta Team formation meeting.