AI Adoption & Guidance

Your team may already be using AI. Give them direction.

Which tools are people using? What information are they sharing? Where is AI helping, and where are the results falling short?

Get a clearer picture of current use, identify practical opportunities, and help your people build the judgment and skills to use AI well.

Talk With Cynthia Explore the Starting Points

Practical guidance for businesses getting started, experimenting, or ready for a more consistent approach.

Three Starting Points

What would help your business move forward?

Understand current AI use

An AI Use & Opportunity Review brings reported employee practices, questions, and opportunities into focus.

Explore the Review

Prepare your people

Leadership and employee training connects AI concepts with relevant examples and hands-on practice.

Explore AI Training

Put an idea into practice

Guided adoption helps turn a promising application into a useful, repeatable way of working.

Explore Guided Adoption

AI Use & Opportunity Review

Know what’s happening before deciding what comes next.

An employee may be using AI to draft customer emails. A manager may be summarizing meetings. Someone else may have tried it once, received a poor answer, and stopped.

A focused review helps leadership understand these different experiences and make better decisions about tools, expectations, and training.

What the review explores

Tools and accounts employees report using
Tasks they use AI to support
Types of information entered or shared
How outputs are checked, used, and distributed
Useful results, frustrations, and unanswered questions
Existing AI policies, employee guidance, and how expectations are communicated

Make room for an honest conversation.

Employees need to understand the purpose of the review and how their responses will be shared. A constructive approach creates room to discuss useful discoveries as well as uncertainty.

A focused process

Establish the priorities
A leadership conversation defines the business goals, current concerns, and teams or functions to include.
Gather employee input
A short questionnaire and selected follow-up conversations build a picture of reported AI use. Not everyone needs to be interviewed.
Turn findings into decisions
A leadership debrief identifies useful practices, questions requiring attention, and priorities for training or a focused trial.

Deliverables

Leave with a clearer picture and a practical next step.

A concise summary of reported AI use
Useful practices worth sharing
Concerns and questions requiring further review
A prioritized shortlist of opportunities
Policy gaps and recommendations for clearer employee guidance
Recommended training topics and next steps

The scope reflects the functions involved, the variety of tools and uses, and the information being handled. The participating group, interviews, and deliverables are agreed upon before work begins.

This is a review of reported practices, not a technical security audit or legal compliance certification. Questions requiring specialist judgment can be referred to your IT, HR, or legal support.

AI Training

Give your people more than a list of tools.

Useful training connects AI to work participants recognize. Relevant examples, demonstrations, and practice help people understand what to try, how to improve an answer, and when their own judgment needs to take the lead.

Sessions are shaped around the audience’s experience and business needs.

AI for Leadership Teams

Build the understanding needed to make decisions and give employees clear direction.

Topics can include

Recognizing useful business applications
Understanding current employee use
Evaluating proposed tools and uses
Setting expectations for information sharing and review
Choosing a manageable first initiative
Decisions that shape an AI use policy: approved tools, permitted uses, information boundaries, and review responsibilities

Takeaway: A shared understanding of where to focus, what decisions need to be made, and what expectations employees need.

AI for Employees

Practice using AI on relevant tasks and learn how to evaluate the work it produces.

Topics can include

Providing useful context and instructions
Brainstorming, drafting, summarizing, and organizing
Asking follow-up questions to improve an answer
Checking facts, missing context, and unsupported claims
Recognizing what information is appropriate to use

Takeaway: Experience with a relevant task and a practical approach participants can use again.

Training can stand on its own or follow an AI Use & Opportunity Review. An introductory session does not require a review first.

AI Use Policy

Give employees clear expectations for AI use.

A practical AI use policy helps employees understand what is encouraged, what needs approval, and where the boundaries are. The guidance should reflect your business, the tools available, and the work people actually do.

A policy people can put into practice.

Policy development can include a tailored draft, a leadership working session, and an employee introduction to explain how it applies to everyday work.

Policy development can cover

Approved tools and personal versus company accounts
Permitted uses and uses requiring approval
Confidential, customer, and employee information
Human review before outputs are used or shared
Responsibility for checking accuracy and commitments
How to raise questions or report a concern
Who owns the policy and keeps it current

Available within an agreed advisory scope or as a follow-on engagement. Final approval belongs to your leadership team, with HR, IT, or legal review as appropriate. Policy development does not constitute legal advice or a compliance certification.

Guided Adoption

Make a useful application part of everyday work.

A promising demonstration is a starting point. Putting it to work means choosing the right context, preparing useful instructions, checking results, and making the approach practical for the people involved.

Guided adoption supports that work. Start with one manageable application, learn through use, and refine the approach before expanding.

Possibilities worth exploring

Meetings with clearer follow-through

Explore an AI meeting assistant to capture discussions and prepare summaries and draft action items. Confirm decisions, responsibilities, and deadlines before putting the output to use.

Business information that is easier to find

Explore a knowledge assistant grounded in selected business materials. Source references and clear handling of unanswered questions help employees check what they find.

A useful first draft for customer communication

Prepare responses and follow-up using approved business information. Staff remain responsible for checking the facts, tone, and promises before sending.

Content built around your expertise

Create a reusable AI workspace with your audience, offers, voice, and examples. Support brainstorming and drafting with the knowledge that makes your business distinctive.

These are examples, not a fixed software package. Tool capabilities, information requirements, and the people doing the work shape the approach.

The quality of the thinking still matters.

AI can be a useful assistant, organizer, and brainstorming partner. The experience and context you bring help shape its output. Your judgment determines what deserves to be used.

Practical experimentation and clear expectations belong together. A small trial can reveal what works while helping your team develop a more consistent approach.

“Clarity precedes architecture. Architecture precedes automation.”

A few practical questions

What if the business hasn’t started using AI?: An introductory leadership or employee session may be the best starting point. Relevant examples and hands-on practice can help your team understand the possibilities before choosing an application.
What if employees are already using different tools?: The review helps bring reported use into focus, identify useful practices, and highlight where shared expectations or training would help.
Does everyone need to be interviewed?: No. A questionnaire can reach the agreed group, with selected conversations providing more detail. The scope depends on the functions and uses involved.
Does the review require confidential documents or private AI conversations?: The initial review focuses on descriptions of tools, tasks, and information types. Employees do not need to submit confidential documents, passwords, or copies of private conversations.
Can the engagement include an AI use policy?: Yes. Policy development can be included in the agreed scope or follow the initial review. The work translates leadership decisions into practical employee guidance, with appropriate review before adoption.
Can the work begin with one department?: Yes. A defined team or function can provide a useful starting point before considering broader work.
Is remote support available?: Yes. Based in San Antonio, Cynthia works remotely with businesses across the country. The engagement format is agreed upon during the initial conversation.

What does your team need next?

Bring your questions, observations, and priorities. A conversation can help you decide if a focused review, practical training, or guidance for a specific application would be the most useful starting point.

Talk With Cynthia