Neuralys
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Agentic systems for managers

Four modules on management uses of agents, oversight, costs, expected benefits and failure scenarios.

Course program · 4 modules

MGT_01

Balancing risks and opportunities

Objective

Weigh value, autonomy, oversight, and exposure in agent use cases.

Topics covered

  • Value and exposure
  • Degrees of autonomy
  • Human oversight

Key learning outcomes

  • Compare a use case’s expected value and risks.
  • Propose an appropriate level of autonomy and oversight.

MGT_02

AI for you

Objective

Apply AI to a manager’s preparation, synthesis, and follow-up.

Topics covered

  • Management preparation
  • Information synthesis
  • Follow-up

Key learning outcomes

  • Prepare a useful meeting brief.
  • Structure follow-ups from available information.

MGT_03

Maximizing ROI

Objective

Assess costs, expected benefits, adoption, and measurement without assuming a guaranteed return.

Topics covered

  • Costs and expected benefits
  • Adoption
  • Return measurement

Key learning outcomes

  • Identify costs and benefit assumptions.
  • Choose indicators to track adoption and value.
  • Distinguish an estimate from an observed return.

MGT_04

How to avoid catastrophe

Objective

Identify failure scenarios, approval boundaries, stop conditions, and escalation.

Topics covered

  • Failure scenarios
  • Approval boundaries
  • Stopping and escalation

Key learning outcomes

  • Describe a failure scenario and its consequences.
  • Define an approval point and a stop condition.
  • Specify when to escalate a problem.
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