12-36 Month Strategic Plan
[One paragraph describing your organization's AI vision]
Example: "By 2027, [Your Organization] will leverage AI to enhance employee productivity by 30%, improve customer satisfaction scores by 25%, and reduce operational costs by 20% through strategic automation and intelligent decision support."
| Category | Baseline | Target | Measurement |
|---|---|---|---|
| Productivity | ____ | ____ | Example: 4 hours/week saved per employee |
| Cost Savings | $____ | $____ | Example: $500K annual reduction |
| Revenue Impact | $____ | $____ | Example: 15% increase in conversions |
| Customer Satisfaction | ____ | ____ | Example: NPS score +10 points |
| Dimension | Score (0-100) | Status | Priority |
|---|---|---|---|
| Strategy & Leadership | ___ | ⚪ | ____ |
| Data Infrastructure | ___ | ⚪ | ____ |
| Technology Readiness | ___ | ⚪ | ____ |
| Talent & Skills | ___ | ⚪ | ____ |
| Governance & Ethics | ___ | ⚪ | ____ |
| Security & Compliance | ___ | ⚪ | ____ |
| Culture & Change Mgmt | ___ | ⚪ | ____ |
| OVERALL READINESS | ___ / 100 | ||
Status: 🔴 Red (0-59) | 🟡 Yellow (60-79) | 🟢 Green (80-100)
| Use Case | Business Value | Feasibility | Timeline |
|---|---|---|---|
|
1. [Use Case Name] Function: [Sales/Marketing/Operations] |
___ / 10 | ___ / 10 | Q__ 20__ |
|
Problem: [What problem does this solve?] AI Solution: [What technology will address it?] Expected Impact: [Quantifiable benefit] |
|||
|
2. [Use Case Name] Function: _______________ |
___ / 10 | ___ / 10 | Q__ 20__ |
|
Problem: _______________ AI Solution: _______________ Expected Impact: _______________ |
|||
Budget: $________ | Resources: __________
Budget: $________ | Resources: __________
Budget: $________ | Resources: __________
Budget: $________ | Resources: __________
Budget: $________ | Resources: __________
| Category | Year 1 | Year 2 | Year 3 | Total |
|---|---|---|---|---|
| SOFTWARE & LICENSES | ||||
| Microsoft 365 Copilot | $______ | $______ | $______ | $______ |
| AI platforms & tools | $______ | $______ | $______ | $______ |
| CLOUD SERVICES | ||||
| Compute (GPU/CPU) | $______ | $______ | $______ | $______ |
| AI/ML services | $______ | $______ | $______ | $______ |
| PROFESSIONAL SERVICES | ||||
| Consulting & Implementation | $______ | $______ | $______ | $______ |
| Training | $______ | $______ | $______ | $______ |
| INTERNAL RESOURCES | ||||
| Headcount (salaries) | $______ | $______ | $______ | $______ |
| TOTAL INVESTMENT | $______ | $______ | $______ | $______ |
| Benefit Category | Year 1 | Year 2 | Year 3 | Total |
|---|---|---|---|---|
| Productivity Gains | $______ | $______ | $______ | $______ |
| Cost Reduction | $______ | $______ | $______ | $______ |
| Revenue Growth | $______ | $______ | $______ | $______ |
| TOTAL BENEFIT | $______ | $______ | $______ | $______ |
| NET ROI | $______ | $______ | $______ | $______ |
| ROI % | ____% | ____% | ____% | ____% |
| Risk | Likelihood | Impact | Mitigation Strategy |
|---|---|---|---|
| Data quality issues prevent AI success | High | High | Data quality program |
| Lack of user adoption | Medium | High | Change management, training |
| Security breach via AI tools | Low | Critical | Security controls, monitoring |
| Regulatory non-compliance | Medium | High | Compliance program |
| Budget overruns | Medium | Medium | Phased approach, vendor mgmt |
|
Executive Sponsor: Signature & Date |
CFO: Signature & Date |
|
CIO/CTO: Signature & Date |
Board Approval: Signature & Date |