AI in Business: Strategy First, Technology Second

Key Principle: Work on your strategy before technology.

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If you’re questioning whether your current business and processes need AI, the answer is usually no — about 90% of the time. Instead, what you likely need is a comprehensive end-to-end analysis to identify friction points and potential efficiency gains.

AI should be part of your strategy, not the other way around. We must keep an open mind about solutions and avoid the trap of seeing AI as a silver bullet for all business challenges.

Process for Business Analysis and Improvement:

1. Align with Business Objectives: Identify focus areas within your business goals.
2. Analyze Current Processes: Map business processes and user journeys against software touchpoints.
3. Identify Improvement Areas: Pinpoint key areas where changes can drive significant impact.
4. Develop Solutions: Create strategies that may or may not involve AI, based on the analysis.
5. Implement and Measure: Put solutions into action and track tangible results.

Potential Outcomes:
- Uncover new revenue streams
- Optimize existing systems
- Improve operational efficiency
- Reduce costs
- Enhance productivity

Remember: The most effective solutions are often simpler than expected. While AI can be powerful, strategic process improvement is frequently the key to business enhancement.

Next Steps:
If you’re keen to explore how your business can become more efficient and effective, let’s discuss. I can guide you through this analytical process and assist with implementing the resulting recommendations, ensuring you achieve real, measurable improvements in your operations.

By following this approach, you ensure that any technological solution, including AI, serves your business strategy rather than dictating it.

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Andrew Cheung
Andrew Cheung

Written by Andrew Cheung

AI Consultant & Product Manager | Specialising in AI Strategy & transformation | Enhancing Business and User Journeys

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