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Enterprise AI strategy and implementation
Connecting business requirements with AI technology
Improve AI usage, eliminate shadow AI, provide governance
AI is moving fast but how can you create
measurable business impact?
AI is moving fast, but many organisations are still searching for value. AI has made doing tasks easier but running a business more complex. The challenge is no longer access to AI, the challenge is creating an organisation that can successfully adopt, govern and scale AI. The Gen25 AI business value program combines business consulting, technology expertise and transformation capabilities into one integrated approach to do just this, we're excited to share how.
The reality check: AI is everywhere. Business value is not.
AI adoption is accelerating across every industry. Research shows that 4 out of 5 organisations is using AI in at least one business function and this number rises every day.
Business value remains elusive for most organisations. AI initiatives fail to deliver their intended value because technology is implemented without sufficient alignment to business processes.
Employees are moving faster than the organisation. 59% of workers report using AI tools that are not approved by their company, so called shadow AI, instead of company-provided solutions.
Governance and operating models are struggling to keep pace. Many organisations have widespread AI usage but only 40% of organisations report having a formal AI governance policy.
Why is business value with AI lacking?
In a lot of organisations, AI has been enabled, but in most cases, was not done with proper due diligence, without identifying use cases, without measuring/baselining and often without a disciplined vendor assessment. To do this effectively in the fast-moving AI space requires serious expertise and if we’re being honest, most organisations don’t have this skill in-house. This has led to companies deploying tools that don't have clear outcomes attached, are too rigid to solve for differentiated workflows roles, aren't properly measured or tracked and lack the internal governance to continue to evolve. All of this adds up to a lack of value, while competitors are likely accelerating past them.
Closing the AI value gap with the Gen25 AI business value program
Many organisations invest in AI, but struggle to translate experimentation into measurable business value. The Gen25 AI business value program provides a structured approach to identify opportunities, build the right foundations and scale AI successfully across the organisation. Combining business strategy, technology, data & AI and change & adoption, we help organisations move from isolated AI initiatives to sustainable business outcomes. We ensure AI is aligned with business goals, supported by the right architecture, and adopted by the people who need to use it. The result is not just AI implementation, but measurable impact on growth, productivity, customer experience and innovation.
We've identified 3 challenges why AI initiatives struggle to create impact
Where should AI create value for our business? Many organisations see significant AI potential but struggle to prioritise opportunities and connect them to business objectives. Without a clear strategy, measurable outcomes and a strong business case, AI initiatives often remain fragmented and fail to deliver expected value.
Can our organisation operationalise AI at scale? Many organisations struggle to move beyond AI pilots because their data, systems, and architecture are not ready to support AI at scale. Legacy technology, fragmented platforms, security concerns, and poor data quality often limit adoption and prevent sustainable business value.
Can our people successfully work with AI? Many organisations invest in AI technology but struggle to achieve widespread adoption. Low usage, shadow AI, skills gaps, and unclear governance can prevent employees from embracing new ways of working, limiting the value AI can deliver across the business.
Where should AI create value for our business?
Gen25 helps organisations identify where AI creates the most business value and translates opportunities into a clear, actionable roadmap. By aligning AI initiatives with strategic objectives, we create the foundation for measurable outcomes, focused investments and scalable success.
Identify, assess, and prioritise the highest-value AI opportunities across the organisation. We deliver a clear understanding of where AI can create value in your organisation, what that value is worth, and a practical roadmap for realising it.
- AI maturity assessment
- Current-state AI landscape review
- Prioritised use case portfolio
- Quantified value opportunities
- Business case recommendations
- Executive AI roadmap
- Recommended next steps
Suitable for organisations exploring how AI can create measurable business value, from growing scale-ups to large enterprises. Depending on the complexity of the organisation and number of stakeholders, this assessment typically takes 4–8 weeks and concludes with a clear AI value roadmap and prioritised next steps.
- Workshops, interviews, workflows mapping
- Workshops, interviews, workflows mapping
- Workshops, interviews, workflows mapping
Can our organisation operationalise AI at scale?
Gen25 enables organisations build the foundation required to operationalise AI at scale. We assess data, systems, architecture, and platform readiness to create a secure, integrated, and future-proof AI environment. By connecting business requirements with technology decisions, we ensure AI initiatives can move from pilot to enterprise-wide adoption.
Assess organisational readiness and establish the foundations required to scale AI successfully. We deliver a clear view of the technology, data, governance, and operating model required to scale AI successfully, alongside a practical implementation roadmap and an activation partner who can work with you to bring it to life.
- Technology and vendor assessment
- Data and integration readiness review
- Governance and security recommendations
- AI operating model design
- Capability gap assessment
- Implementation blueprint
- Recommended next steps
Designed for organisations preparing to operationalise AI at scale. Over 4–8 weeks, we assess your technology landscape, data, governance and architecture, delivering a practical implementation blueprint tailored to the complexity of your organisation.
- Validate goals and outcomes alignment create scope of work
- Landscape assessment and integrations
- Non functional assessment security and governance
- Create full landscape view
- AI model operational redesign
- AI architecture and solution recommendations
How can our people successfully work with AI?
Gen25 helps organisations successfully adopt AI by aligning people, processes and governance around new ways of working. Through change management, leadership enablement, training and adoption programs, we ensure AI initiatives are embraced, scaled and deliver lasting business value.
Understand where adoption is succeeding, where value is being lost, and what is required to improve outcomes. A clear understanding of what's working, what's not, and what needs to change to increase adoption, strengthen governance, improve value realisation, and scale AI more effectively across the organisation.
- Adoption assessment
- Usage and engagement analysis
- Value realisation assessment
- Stakeholder & user feedback findings
- Change and communications recommendations
- Optimisation and scaling roadmap
- Recommended next steps
Ideal for organisations looking to increase AI adoption and realise greater business value from existing or planned AI initiatives. Depending on organisational size and change complexity, this engagement typically takes 3–6 weeks and provides a clear roadmap for leadership, governance and adoption.
- Measurement framework - what kip’s are you tracking?
- Usage and engagement analyses
- Adoption assessment
- Create a tailored change program
- Defined and customised intervention actionsCreate a tailored change program
Example Gen25 AI use cases with impact
A global loyalty firm partnered with Gen25 to move from fragmented AI initiatives to a clear, value-driven AI strategy. By identifying high-impact use cases, validating opportunities through pilots and developing a scalable adoption roadmap, the organisation established a practical foundation for enterprise-wide AI deployment. The proof in the value of this is in the 1,8 million in cost reduction we released with this specific client using AI already in the first year.
For leading high-end retail organisation Gen25 designed and implemented an AI-powered customer service agent to improve customer experience and reduce pressure on service teams. Following a successful pilot, they scaled an AI-powered customer service agent across multiple markets. Integrated with existing CRM systems and knowledge bases, the solution now handles up to 80% of customer enquiries while seamlessly escalating complex cases to human agents
A global travel organisation came to Gen25 AI to automate and optimise its quote process during peak season, when up to 300 quote requests per week created operational bottlenecks. By implementing an AI-powered recommendation engine integrated with customer, product and availability data, quote preparation time was reduced from 15 minutes to 6 minutes per request. The solution enabled the organisation to automatically process up to 60% of quote requests, significantly improving response times, customer experience and efficiency.
More AI business value created by Gen25
Discovery-led enterprise AI programme. We diagnosed systemic inefficiencies, defined priority use cases, ran vendor due diligence and selection, built the business case and supported implementation through to delivery.
€5M in costs saved
3-year net financial impact from end-to-end strategy, business case and implementation at organisation in professional services
How could a high-end department store improve its self-service rate while keeping service quality high? We designed and implementated an AI agent that delivered both.
80% case resolution
The program met and exceeded its targets by 25%, reaching a 80% self-service rate while NPS held steady: more automation, no drop in customer satisfaction.
James Cronyn
Director of Business Consulting
James Cronyn
Director of Business Consulting
AI business strategy expert in the spotlight
James leads Gen25’s strategy and transformation practice, bringing in experience delivering complex change across international organisations. His background combines consulting leadership with prior senior leadership roles inside organisations, with hands-on responsibility for growth, transformation and operating models. He works directly with executive teams on AI strategy, growth transformation, operational improvement, business design and enterprise-wide change, ensuring the work stays commercially grounded, decision-ready and executable.
Selected keynotes and publications:
- Research publication contributor: "EU Commission report on the opportunity for AI to enhance business support processes" (2025)
- Whitepaper author: "Enterprise AI Strategy" (2025)
- Keynote speaker: "AI selection strategy, approach and impact" – London AI Summit (2026)
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Enterprise AI strategy whitepaper
AI is changing fast, but turning pilots into real business impact remains a challenge. Many organisations struggle with uncertainty around scaling, costs and ROI. At Gen25, we help organisations move beyond proofs of concept by embracing uncertainty, focusing on clear outcomes and building the foundations needed to turn AI into your business advantage. Download our AI selection strategy whitepaper now and learn more about our approach.
Shaun de Caires
Director of Technology Consulting
James Cronyn
Director of Business Consulting
Enterprise AI platform expert in the spotlight
"Great technology doesn't fail because of the code - it fails because of a misalignment between strategy, architecture, and team execution. In 2026, as enterprise AI moves past experimentation and into full-scale agentic automation, the real differentiator is having cross-functional teams capable of architecting it for actual business outcomes."
Shaun has spent more than 20 years building, scaling, and leading high-performing global teams that bridge the gap between business strategy, technology architecture, and execution. He is recognised for fostering an engineering culture that moves beyond traditional IT delivery, focusing instead on customer-centric design, robust data foundations and operational excellence. Today, he leads teams that design and deliver next-generation enterprise platforms.
Selected recent keynote: "Beyond Bolt-on AI: From Fast Talkers to Digital Labour" Agentforce World Tour AMS, April 2026
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