Version: 1.1.0 | Last Updated: 2025-06-12
Step 1: AI Strategy & Plan
π Progress: Step 1 of 4 β±οΈ Estimated Time: 1 hour
Executive Summary
In this foundational step, youβll develop a strategic AI roadmap for IFS that aligns technology initiatives with business outcomes. By identifying high-impact use cases and establishing clear success metrics, youβll create the blueprint for a successful AI transformation journey.
Home > AI Ready Challenge > Step 1 - AI Strategy & Plan
This section is part of the IFS AI Ready Challenge. Here youβll define business outcomes, identify AI use cases, and plan the AI adoption phases (Strategy & Plan).
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A[π Start] --> B[π Step 1 Strategy & Plan]
B -->|Current| C[π Step 2 Requirements]
C --> D[ποΈ Step 3 Foundations]
D --> E[π Step 4 Presentation]
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π§ Why Strategic Planning is Critical
Proper AI strategy is the foundation of successful AI transformation. Organizations that skip strategic planning face:
- 87% project failure rate without clear business alignment
- 4-6x higher costs from reactive implementation and rework
- Misaligned AI investments that donβt deliver business value
- Stakeholder resistance due to unclear value proposition
- Compliance and ethical risks from unplanned AI deployment
π― Strategic Success Framework
Success Factor | With Structured Strategy | Without Strategic Planning |
---|---|---|
Business Alignment | Clear ROI and value delivery | Technology-driven initiatives with unclear value |
Stakeholder Buy-in | Unified vision and commitment | Fragmented support and resistance |
Resource Allocation | Prioritized, efficient investment | Scattered resources, competing priorities |
Risk Management | Proactive identification and mitigation | Reactive firefighting and compliance issues |
Success Measurement | Clear metrics and tracking | Ambiguous outcomes and accountability |
Prerequisites
Before starting this step, gather:
- Key stakeholders (1-2 hour workshop session)
- Basic business context (current goals, major challenges)
- Simple current state overview (what technology exists today)
- Understanding of IFS priorities (what matters most to leadership)
- Executive alignment (sponsor understands the goal)
Objective
Define IFSβs AI strategy by identifying key business outcomes, selecting high-impact AI use cases, and establishing success metrics.
Activities
- Review the Innovate Financial Services Customer Story.
- As a team:
- List Top 3 Business Outcomes for IFSβs AI adoption (e.g., fraud reduction, customer experience, cost optimization).
- Identify Key AI Use Cases that deliver those outcomes.
- Map each use case to CAF AI phases Strategy and Plan activities. 4. Define Success Metrics and KPIs to measure AI impact.
Guidance
Reference: CAF AI Strategy and Plan
- Focus on outcomes: what business value will AI deliver?
- Prioritize use cases by feasibility, impact, and alignment to IFS goals.
- Ensure metrics are measurable (e.g., % reduction, CPS improvement).
- Take into consideration risk management, compliance, and responsible AI principles.
- Call out internal and external use cases, and how they align with IFSβs strategic goals.
Example Use Case Table:
Business Outcome | AI Use Case | CAF Phase | Success Metric |
---|---|---|---|
Reduce fraudulent loans | Anomaly detection model | Strategy, Plan | 10% fraud drop False-positive <5% |
Improve customer NPS | Personalized chatbot | Strategy, Plan | +15 NPS points |
Success Criteria β
By the end of this step, you should have:
- β Defined 3 business outcomes with clear descriptions
- β Identified 3 AI use cases mapped to those outcomes
- β Established 3 success metrics for each use case
- β A brief AI Strategy & Plan summary statement
To successfully complete this step, ensure all items above are documented in your deliverable.
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References & Supporting Evidence
The statistics and claims used in this document are based on the following industry research and reports:
AI Project Success & Strategic Alignment
- 87% project failure rate without business alignment: MIT Sloan Management Review - Why So Many Data Science Projects Fail to Deliver
- 4-6x higher costs from reactive implementation: Harvard Business Review - Why AI Projects Fail
- Strategic alignment impact on AI success: McKinsey Global Institute - The Age of AI
Business Strategy & Planning
- ROI and value delivery statistics: Deloitte AI Survey 2024
- Stakeholder resistance factors: Accenture Human + Machine Report
- Strategic planning best practices: Microsoft Cloud Adoption Framework