MBA AI Program Impact Report

📊 MBA AI Program Impact Report

Perspectives before and after the AI program, summarized with clear percentages and impact highlights.

NPS (Recommendation)

67

Promoters: 67% • Passives: 33% • Detractors: 0% (n=9 numeric responses; 1 non-numeric excluded)

🎓

Average Attendance

79%

80% attended ≥8 sessions

🧠

Program Clarity

60%

reported the program was easy to understand (40% somewhat)

🛠️

AI Agent Adoption

80%

built or currently building after program (30% completed)

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Impact Highlights

Belief in AI Benefits

Pre: 70% positive → Post: 100% positive

+30 pts

Workflow Improvement Confidence

Pre: 30% Yes → Post: 100% Yes

+70 pts

Practical Adoption (AI Agents)

Pre: 0% building/built → Post: 80% building or built (30% completed)

+80 pts

Risk Mitigation Awareness

Pre: 0% mention mitigation → Post: 100% mention mitigation

+100 pts

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Summarized Thematic Analysis (in %)

Q1. Do you believe AI will benefit businesses? (Pre vs Post)

Pren=10
  • Skeptical/limited impact90%
  • Tentative/conditional support70%
  • Explicitly negative20%
  • Uncertain/not sure10%
Postn=10
  • Efficiency/automation/time-saving100%
  • Data-driven insights/decisions90%
  • Personalization/customer experience50%
  • Competitive advantage/market agility40%

Q2. What specific business problems is AI designed to address? (Pre vs Post)

Pren=10
  • Routine/simple task automation100%
  • Data sorting/organization90%
  • Unclear scope/low confidence80%
  • Customer service support10%
Postn=10
  • Automating repetitive processes90%
  • Large-scale data analysis80%
  • Forecasting/trend prediction70%
  • Decision support70%
  • Customer experience (chatbots/personalization)50%
  • Fraud detection/supply chain10%

Q3. Are there risks (privacy, ethics, operational) with deploying AI? (Pre vs Post)

Pren=10
  • Privacy/data protection100%
  • Errors/operational mistakes80%
  • Ethical concerns20%
  • Risks perceived as minor60%
  • Mitigation strategies cited0%
Postn=10
  • Privacy/data protection100%
  • Ethical considerations70%
  • Operational risks/errors80%
  • Mitigation (governance/safeguards)100%
  • Risks seen as manageable100%

Q4. Will this AI program help improve your workflows? (Pre vs Post)

Pren=10
  • Expect improvement (Yes)30%
  • Do not expect improvement (No)70%
  • Skeptical about fit/value70%
Postn=10
  • Automation/time-saving90%
  • Streamlining/organization60%
  • Data analysis/decision support40%
  • Error reduction/accuracy30%
  • Experimentation mindset10%

What Changed Before vs After

  • Belief in AI benefits: Positive views rose from 70% to 100% (+30 pts); negative (20%) and unsure (10%) dropped to 0%.
  • Confidence in improving workflows: Yes rose from 30% to 100% (+70 pts).
  • Hands-on adoption: Building/built AI agents jumped from 0% to 80% (30% completed, 50% in progress).
  • Risk maturity: Mentions of mitigation frameworks increased from 0% to 100%, while privacy/operational risk awareness stayed at 100%.
  • Recommendation strength: NPS = 67 with 0% detractors; strong promoter base after program.

Notes:

  • Percentages are based on 10 participants unless otherwise noted.
  • NPS computed from 9 numeric responses; one response was non-numeric.
  • Multiple themes can be present per response; therefore, thematic totals per question can exceed 100%.