AI Readiness & Opportunity Review
Customer Science’s AI Readiness Review helps to provide your organisation with a clear, structured pathway to AI adoption, ensuring measurable business impact and sustainable value.
Ideal for Organisations Looking to:
- Improve efficiency and customer experience through AI-driven automation.
- Identify AI use cases that align with business strategy.
- Develop an AI adoption plan that is pragmatic & cost-effective.
- Enhance decision-making with AI-powered insights.
- Establish a self-funding, sustainable investment loop that re-invests savings generated to fund further improvement activities.
The review will help to align AI initiatives with business strategy, assess readiness and uncover potential efficiency gains.
Following stakeholder interviews, an enterprise architecture assessment and a deep dive into high-potential business processes using our prioritisation framework, we develop a self-funding AI roadmap with clear cost-benefit analysis.
This ensures AI initiatives generate rapid value, enabling your organisation to scale AI adoption sustainably with measurable ROI.
Not every organisation aims to be at the forefront of AI, but every organisation must clearly define and decisively understand its AI stance. Whatever your strategy, it must be effectively communicated to ensure alignment and informed decision-making.
Key Service Components
1. Strategic AI Assessment
- Review organisational AI strategy, risks, education and change management needs.
- Align AI initiatives with business goals and define success measures.
2. Opportunity Identification & Prioritisation
- Conduct stakeholder interviews across key functions (Finance, Operations, IT, etc.).
- Develop a heatmap to prioritise AI and automation opportunities based on impact and feasibility.
3. Enterprise Architecture & AI Readiness Review
- Assess existing AI capabilities within current systems.
- Identify gaps in data, security, and deployment feasibility.
4. AI & Automation Use Cases
- Explore adoption pathways including Generative AI, Agentic AI, Analytical AI, Specialised AI, and Intelligent Automation.
- Assess high-value opportunities with cost-benefit analysis.
5. Implementation Roadmap & Business Case Development
- Develop a prioritised roadmap for AI adoption.
- Provide estimated costings, ROI projections, and a self-funding model.
6. Final Presentation & Next Steps
- Deliver a comprehensive findings report.
- Outline key next steps for AI implementation.
Operationalising AI is complex. Many organisations either overlook challenges in Strategy, Responsible Use, Data, Technology, People, or Governance, or they over-prepare in one area.
How ready is your organisation to effectively leverage AI? Take the assessment.
You get a personalised report with actionable next steps to help transform your organisation and realise the value from AI.
Sample Outputs from the report:
Recognise the urgency; your competitors are climbing the AI maturity curve and there is enormous value to be realised.
Measuring AI maturity provides a clear picture of how well an organisation is leveraging AI, identifying strengths, uncovering gaps, and guiding strategic investments.
By evaluating key dimensions such as strategy, data management, technology infrastructure, talent, and ethical considerations, you can systematically enhance your AI capabilities, ensuring they are not only keeping pace with technological advancements but also driving sustainable growth and operational excellence.
In essence, assessing AI maturity is a vital step in transforming AI from a buzzword into a tangible, impactful asset that can shape the future of your organisation.
The key to beginning your AI journey is to start with one, relatively simple AI use case, measure the benefits and re-invest those savings into the next sticky business problem. Remaining committed creates a snowball effect, resulting in an organisation that can scale operations and explore new products, services, and business models for transformative impact.