Capabilities and limits
Understand what generative AI can and cannot do reliably and where human judgment remains essential.
AI training for real work
Give your team safe, repeatable ways to use AI in real work.
Navance training helps teams move beyond isolated tips and generic demonstrations by building practical judgment, review habits, and workflow awareness.
Training focus
Build shared judgment—not just tool familiarity.
Training connects AI’s capabilities and limitations with the work, information, and decisions your team already owns.
Data boundaries and review
Recognize information that should not enter a tool and review outputs for accuracy, relevance, and risk.
Workflow application
Apply clearer prompts and review patterns to realistic tasks, then document what should become repeatable practice.
Learning sequence
Move from context to practical next steps.
The format is shaped around the people, workflows, existing experience, and constraints involved.
1
Establish context
Connect AI capabilities with the team’s work, priorities, and concerns.
2
Explore
Build a realistic understanding of useful patterns, limits, and responsible-use boundaries.
3
Apply
Work through relevant examples, prompts, review steps, and workflow patterns.
4
Improve
Identify weaknesses, strengthen review, and capture useful applications and unresolved questions.
Scoping the training
Start with your team and the work they own.
When you inquire, share who the training is for, what the team already knows or uses, which workflows matter most, and what you want people to understand or do differently.
Helpful context
- The roles and responsibilities involved
- Current AI familiarity and tools
- Priority workflows or decisions
- Important data, policy, or technology constraints
Format, participation, timing, included materials, and investment are confirmed before the work begins.
Team enablement