The hype surrounding Artificial Intelligence (AI) has reached fever pitch. Yet, despite significant investments, a staggering 54% of companies struggle to translate AI initiatives into tangible business outcomes. The honeymoon phase is over. Organizations are now under immense pressure to deliver real, measurable value at scale, moving beyond isolated use cases and proofs-of-concept. The challenge is significant:
How do you identify and prioritize high-impact AI applications?
How to build the necessary data capabilities?
How to create a roadmap for sustained success?
Many organizations find themselves stuck in a cycle of pilots, unable to scale AI initiatives and achieve meaningful impact. This often stems from a lack of clear vision and a failure to address fundamental data challenges. To truly impact the business, companies must strategically identify the AI applications with the greatest potential return on investment (ROI), carefully weighing the effort required for implementation. Furthermore, a thorough assessment of data maturity is crucial, along with strategic investments in strengthening critical capabilities like data governance, technology, and engineering.
Navigating the Post-Honeymoon Landscape
A successful AI strategy requires meticulous planning and execution. It’s essential to start with a clear vision of how AI will create value and then develop a robust roadmap to bring that vision to life. This is where Keepler’s Navigator program comes in. Navigator is a three-stage program designed to help you generate value at scale from your AI and data investments. We work with you to:
1. Identify High-Impact Use Cases: We help you pinpoint the AI applications that will deliver the greatest ROI and align with your specific business objectives. This involves:
- Understanding your strategic priorities: “What are your top revenue-generating opportunities?”
- Analyzing your current data landscape: “What data assets do you have available, and how can they be leveraged for AI?”
- Prioritizing use cases based on potential impact and feasibility: “Which AI applications offer the best combination of high value and achievable implementation?”
2. Develop a Strategic Roadmap: We create a clear, actionable plan for implementing your AI initiatives, outlining key milestones, timelines, and resource allocation. This roadmap includes:
- Defining clear objectives and key performance indicators (KPIs): “How will we measure the success of our AI initiatives?”
- Establishing a phased approach to implementation: “What are the key milestones for each stage of the project?”
- Identifying and mitigating potential risks: “What are the potential challenges, and how can we address them?”
3. Build the Necessary Capabilities: We assess your current data maturity and help you strengthen critical areas like data governance, data technology, and data engineering. This involves:
- Evaluating your data infrastructure: “Is your current infrastructure capable of supporting your AI ambitions?”
- Implementing robust data governance frameworks: “How can we ensure data quality, security, and compliance?”
- Developing the necessary technical expertise: “Do you have the right talent in place to build and maintain your AI solutions?”
4. Measure and Track Your Success: We establish clear metrics to monitor the impact of your AI initiatives on key performance indicators (KPIs), ensuring you achieve measurable results. This includes:
- Defining relevant metrics: “How will we measure the impact of our AI initiatives on key business drivers?”
- Tracking progress against targets: “Are we on track to achieve our desired outcomes?”
- Making adjustments as needed: “How can we optimize our approach based on the data?”
The post-honeymoon phase of AI demands a focus on delivering value at scale. Keepler’s Navigator program provides the structure and expertise you need to move beyond pilots and implement AI solutions that drive real business impact.
Image | Unsplash – Bethany Legg
CMO at Keepler. "My experience is focused on corporate communications and B2B marketing in the technology sector. I work to position Keepler as a leading company in the field of advanced data analytics. I also work on a thousand other things to make Keepler a top company to work for."
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