For many enterprise technology leaders, the promise of AI is clear — but so are the barriers. According to McKinsey’s State of AI in 2024 report, only 23% of organisations have successfully scaled AI beyond pilot projects, with lack of clear business alignment and insufficient in-house expertise cited as leading causes of failure. In the UK, a 2023 TechUK survey found that 41% of large organisations see “identifying the right AI opportunities” as their single biggest adoption challenge.
WaiFinder Adoption was designed to address these exact pain points. It provides a structured, repeatable journey that enables CTOs and CDOs to identify, prioritise, and implement AI use cases that are directly tied to business objectives — without requiring specialist AI skills to get started.
From Objectives to Actionable AI Use Cases
Too often, AI initiatives begin with technology in search of a problem. WaiFinder reverses that approach. Using Microsoft’s BXT (Business–Experience–Technology) framework, the platform starts with your organisation’s strategic objectives and works backwards to identify AI opportunities that will deliver measurable impact.
This objective-driven process ensures that every suggested AI use case is:
- Aligned to business goals — increasing executive confidence and stakeholder buy-in.
- Scored for impact and feasibility — so you can focus resources where they will deliver the greatest return.
- Accompanied by clear KPIs and risk mitigation strategies — enabling you to measure value and manage delivery risk from day one.
As Gartner notes, “AI projects with defined business outcomes are 3.5 times more likely to succeed” — WaiFinder makes that definition part of the starting point, not an afterthought.
Reducing Costs Through a Guided, Skills-Light Journey
Hiring AI specialists is expensive and competitive. In the UK, AI engineer salaries rose by 22% in 2024 alone (Harnham Data & AI Salary Guide), and the talent pool remains limited. WaiFinder Adoption removes the need to recruit niche expertise just to identify opportunities.
Through a guided, non-technical assessment and prioritisation process, your teams can:
- Rapidly assess AI readiness across people, processes, data, and technology.
- Receive tailored improvement plans to strengthen foundations before investment.
- Explore a curated catalogue of AI use cases with projected impact, complexity, and resource requirements already mapped.
By avoiding prolonged consultancy engagements and low-value pilots, enterprises can cut evaluation costs significantly. IDC research shows that structured AI adoption frameworks can reduce time-to-value by up to 40% compared to ad-hoc approaches.
The WaiFinder Adoption Journey
The platform’s four-phase journey is designed for speed, clarity, and measurable results:
- Assess – Establish your AI maturity, cultural readiness, and data landscape through a simple guided questionnaire.
- Improve – Receive a custom plan to strengthen capabilities in areas that will unlock higher-value AI opportunities.
- Identify – Prioritise AI use cases using the BXT framework, scoring each for strategic alignment, feasibility, and impact.
- Adopt – Access detailed implementation plans for high-priority solutions, complete with KPIs, milestones, and risk mitigation strategies.
This process ensures that by the time you commit resources, you have a clear, evidence-based roadmap — not just a list of ideas.
Customisation for Competitive Advantage
For enterprises seeking deeper integration and differentiation, WaiFinder Adoption offers:
- Dedicated infrastructure for performance, scalability, and data residency control.
- Custom-trained large language models (LLMs) tailored to your domain, enabling more relevant and context-aware recommendations.
- Branded stakeholder-facing apps and reports to embed AI adoption into your organisation’s culture and communication.
These options allow CTOs and CDOs to align the platform with their existing technology stack and strategic priorities, while maintaining control over performance and security.
Why Now?
The UK Government’s National AI Strategy emphasises that “early movers in AI adoption will capture disproportionate market share.” In the US, PwC estimates that AI could contribute $15.7 trillion to the global economy by 2030, with productivity gains and cost savings as primary drivers.
For enterprise technology leaders, the question is no longer whether to adopt AI — but how to do so in a way that delivers measurable, risk-managed outcomes without spiralling costs or skills bottlenecks.
See WaiFinder Adoption in Action
WaiFinder Adoption gives you a clear, objective-driven path to AI success — from identifying the right opportunities to delivering measurable results.
Book a personalised demo today to see how our structured, skills-light approach can help you accelerate AI adoption, reduce costs, and deliver outcomes your board will value.
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