🎯 Welcome to Your AI Implementation Workbench

This 3-step system takes managers from "Should we use AI?" to "Here's our 90-day pilot plan" in 10 minutes.

You'll complete:
📊 Step 1: ROI Scorecard (2 min)
🛡️ Step 2: Risk Analysis (3 min)
📋 Step 3: Pilot Plan (5 min)

Try it with sample data: "Processing expense reports"

🚀 AI Implementation Workbench

From Opportunity Identification to 90-Day Pilot Plan

Built by ResultantAI for NobleProg Manager Training

1
ROI Scorecard
Evaluate opportunity
2
Risk Analysis
Red-team risks
3
Pilot Plan
90-day roadmap

Step 1: AI Opportunity Scorecard

📌 Purpose: Quantify the ROI potential of an AI opportunity before investing time in implementation.
1 - Highly variable 10 - Identical every time
5 / 10

📊 ROI Analysis Results

0
out of 100

Annual Labor Cost:

Estimated AI Automation Potential: %

Step 2: Ethical AI Red-Team Analysis

📌 Purpose: Identify and mitigate risks before implementation. This is how you get executive buy-in.
Evaluating Opportunity:

🔒 Data & Privacy Risks

⚖️ Bias & Fairness Risks

🎯 Accuracy & Reliability Risks

👁️ Transparency & Explainability

📋 Mitigation Planning

Instructions: For each risk category you checked, add a mitigation action below.
Risk Category Likelihood Impact Mitigation Action Owner
Select risk checkboxes above to populate mitigation table

Step 3: 90-Day Pilot Plan

📌 Purpose: Board-ready implementation plan generated from your Scorecard + Risk Analysis.

Executive Summary

Opportunity:

ROI Score: / 100

Annual Cost (Manual):

Risks Identified:

Recommendation:

📅 90-Day Timeline

Weeks 1-2: Discovery & Setup

  • Stakeholder kickoff meeting (IT, Legal, End Users)
  • Document current process baseline (time, cost, error rate)
  • Select AI vendor/tool (compare 3 options)
  • Set up sandbox environment (no production data yet)

Deliverable: Vendor selection memo, baseline metrics doc

Weeks 3-4: Build & Test (Sandbox)

  • Configure AI tool with test data (10 sample tasks)
  • Train 2-3 power users
  • Run accuracy test: Compare AI vs. manual output
  • Red-team for risks (documented above)

Deliverable: Accuracy report, risk mitigation checklist

Weeks 5-8: Pilot Launch (Small Group)

  • Select 5-10 pilot users (early adopters)
  • Process real tasks with 100% human review
  • Weekly check-ins: What's working? What's breaking?
  • Track metrics: Time savings, error rate, user satisfaction

Deliverable: Weekly pilot dashboards

Weeks 9-10: Analysis & Refinement

  • Analyze pilot data: Did we hit success metrics?
  • Survey pilot users: What needs improvement?
  • Adjust AI config or process based on feedback
  • Calculate ROI: (Time saved × labor cost) - (AI cost + setup)

Deliverable: Pilot results report

Weeks 11-12: Scale Decision & Rollout Plan

  • Present results to leadership: Go/No-Go/Iterate
  • If GO: Draft rollout plan for full team (Weeks 13-16)
  • If NO-GO: Document lessons learned, archive pilot
  • If ITERATE: Define Phase 2 improvements

Deliverable: Executive summary + recommendation

💰 Budget Breakdown

Category Estimated Cost Notes
AI Tool (3-month subscription) $1,500 - $3,000 Varies by vendor
Setup/Configuration $2,000 - $5,000 Internal IT or consultant hours
Training $500 - $1,000 2 hours per pilot user
Total Pilot Cost $4,000 - $9,000

Expected ROI: If pilot succeeds, annual savings = (manual cost - AI annual cost)

📊 Success Metrics

Primary Metric: Reduce task processing time by 30%+

Secondary Metrics:

  • Error rate < 5%
  • User satisfaction score > 7/10
  • ROI positive within 12 months

🚦 Go/No-Go Decision Criteria (Week 11)

✅ GO (Scale)

  • Primary metric achieved
  • Error rate < 5%
  • User satisfaction > 7/10
  • Positive 12-month ROI

⚠️ ITERATE (Phase 2)

  • Partial success (15-25% improvement)
  • Specific issues identified
  • Users like it but need more training

❌ NO-GO (Pause)

  • Primary metric not achieved
  • Error rate > 10%
  • User satisfaction < 5/10
  • Negative ROI

Before vs. After This Workbench

❌ Manual Process
  • ⏱️ 90 minutes per opportunity evaluation
  • 📋 Inconsistent risk analysis (if done at all)
  • 💸 ~$150 labor cost per evaluation
  • 📊 No standardized metrics
  • 🤷 Gut feel decision-making
  • 📑 No documentation trail
✅ With Workbench
  • ⚡ 10 minutes per opportunity evaluation
  • 🛡️ Standardized 17-point risk checklist
  • 💰 $1.20 per evaluation (manager time only)
  • 📈 Quantified ROI scores (0-100 scale)
  • 🎯 Data-driven decision framework
  • 📄 Board-ready documentation