What AI changes in behavioral health
Where AI is already showing up, which uses deserve a closer look, and what still depends on human judgment.
Speaking · Consulting · Team training
Your team is already making decisions about AI.
I help behavioral health leaders look closely at the use case, the people doing the work, and what a tool would need to know before it can help. You end up with a decision your team can explain, test and review.
More than a tool demo
AI adoption is a people decision and a systems decision.
Behavioral health organizations work with private information, complex regulations, limited capacity and decisions that affect real people. A workflow can look efficient on paper and still create more review work, more risk or more confusion for the staff expected to use it.
I bring therapy, training, operations and leadership experience into the AI conversation, so your team looks at the actual work instead of reacting to the newest feature.
Talk topics
Questions worth working through with your audience.
Every talk is adapted to the room: executives, program leaders, supervisors, clinicians, educators or mixed teams.
The behavioral side of AI adoption
How staff, leaders and clients really respond to new tools: uncertainty, over-trust, workarounds and the pressure to move faster than the system is ready for.
Context before tools
Why responsible implementation starts with the knowledge, policies, limits and real examples your organization already has.
Keeping human review in the process
A clear way to decide what staff must verify, what leaders should monitor, and where an AI-supported workflow needs to stop.
Formats
Built around the decisions your audience is facing now.
Keynotes
Clear ideas for a big room
A focused talk that helps your audience understand the issue, spot the practical risks and leave with better questions.
Workshops
Put the thinking to work
A working session with examples, use cases and review questions that fit the people in the room.
Leadership sessions
Make the decision easier to explain
A smaller session for leaders weighing priorities, limits and staff impact before they move forward.
Good fit for:ExecutivesProgram leadersSupervisorsCliniciansEducators
Consulting and training
Start with one use case your team can test.
For organizations that want a practical way to evaluate an AI use case, organize the right source material, set review boundaries and see how it holds up under real-life limits.
How an engagement runs
- 1
Review the use case
Is it worth building?
- 2
Gather the source material
What it needs to know
- 3
Set review boundaries
What a person checks
- 4
Train the team
On your real work
- 5
Test and refine
Under real conditions
Background
I know the people and systems behind the policy.
I've spent more than 18 years as a therapist and behavioral health leader, including direct care, training, complex programs, operational leadership and managing large state-funded behavioral health contracts.
I also build and test AI tools and workflows myself. That combination lets me speak to what's possible and to the part that still needs careful review.
Planning an event or working through a use case?