Do You Actually Need AI Training?
Before you build another AI course, answer a more important question:
Is training actually the problem?
A short decision tool for L&D and workforce leaders who need to decide what should happen before another AI training rollout.
When the free pilot opens, the triage is designed to take about five minutes and show whether your AI request points first to training, workflow redesign, role clarity, manager enablement, governance, systems, or further diagnosis—and what to do next.
Know what to do next, and what not to spend money on yet.
No payment or purchase commitment. Join the waitlist and we’ll email you when the pilot opens.
What a result could look like
Ravinder Tulsiani | AI Training Triage
Illustrative sample result
Your responses point first to Manager Enablement
Recommended decision
Do not launch broad employee AI training yet.
Your responses suggest that employees may understand the basic tools, but managers do not yet have clear expectations for how AI-enabled work should be performed, reviewed, or coached.
Why the triage routed here
Three signals stand out:
- AI use is increasing, but manager expectations are not consistently defined.
- There is no clear way for managers to observe whether AI is improving performance.
- Escalation and review responsibilities are still uneven.
What should happen next
- Define the specific AI-enabled behaviours managers should expect.
- Create 3–5 observable performance indicators.
- Clarify when managers should coach, review, or escalate.
- Only then determine which employee capability gaps require formal learning.
Primary owner
Business leadership / people managers
L&D’s role
Translate the changed work expectations into targeted capability and reinforcement.
Do not invest in yet
Broad employee AI training.
Evidence to validate next
Manager expectations, workflow changes, observable performance measures.
Confidence
Moderate, based on current responses.
This is decision support, not a certified organizational assessment. Validate findings with the people who own the work.
© 2026 Ravinder Tulsiani. All rights reserved.
Built on the Solve the Right Problem approach. Designing the Intervention is the response-selection step within the system.
One request can hide very different problems.
“Train everyone on AI” sounds straightforward. It may not be.
The work may not have been redesigned. Roles may still be unclear. Managers may not know what to reinforce. Governance may not be settled. Employees may lack capability. Or there may not yet be enough evidence to know what intervention is required.
Those problems should not all produce the same answer.
- Train
- A genuine knowledge, judgment or skill gap appears to remain.
- Redesign the work
- The workflow needs to change before training can solve much.
- Clarify roles and decisions
- People do not yet know what AI should do, what humans own, or where judgment remains essential.
- Enable managers
- Managers may lack the expectations, coaching tools or measures needed to make the change stick.
- Strengthen governance
- Accountability, oversight, acceptable use or escalation rules need to be clearer.
- Fix the system
- Process, tools, access, incentives or operating conditions are getting in the way.
- Investigate further
- There is not enough evidence yet to justify prescribing an intervention.
Join the Free Pilot Waitlist
The free triage is not available yet. Join the waitlist and we’ll email you when it opens.
When the pilot opens, you can try a short AI Training Triage for free. Your result will identify whether your AI request points to training — or to workflow redesign, role clarity, manager enablement, governance, systems, or further diagnosis.
The first version is being designed for L&D and workforce leaders who need to determine what intervention is required before investing in AI training.
No course pitch. The purpose is to help determine whether training is even the right response.
