Many organisations are exploring artificial intelligence, but struggle to identify where it will deliver the most value. Without a structured approach, teams often pursue too many ideas without clear prioritisation or alignment to business goals.

 

Telefónica Tech’s AI solution envisioning services help you identify, assess, and prioritise the AI use cases that matter most based on feasibility, value, and strategic fit.

 

We provide a clear, evidence-based path forward so you can move from AI curiosity to focused execution.

What’s Included in Our AI Solution Envisioning Service

01 Opportunity Identification and Use Case Definition

We identify and document AI use cases linked directly to your business challenges and objectives.

01 Opportunity Identification and Use Case Definition
02 Strategic Alignment to Business Goals

We assess how each AI solution supports your strategic priorities, ensuring relevance and impact.

02 Strategic Alignment to Business Goals
03 Evidence Collection and Success Criteria

We define measurable success criteria, including KPIs, data availability, and expected outcomes.

03 Evidence Collection and Success Criteria
04 Resource and Capability Mapping

We identify the systems, skills, and organisational requirements needed to deliver each use case.

04 Resource and Capability Mapping
05 Feasibility and Value Prioritisation

We evaluate and rank opportunities using structured frameworks to balance value against complexity.

05 Feasibility and Value Prioritisation
06 Actionable AI Roadmap

You receive a clear, prioritised roadmap outlining next steps, dependencies, and governance considerations.

06 Actionable AI Roadmap

Why Choose Telefónica Tech for AI Solution Envisioning

Our specialists combine technical knowledge with delivery experience, helping organisations identify and prioritise AI opportunities effectively.

We use proven frameworks to assess feasibility, value, and risk ensuring every AI use case is grounded in practicality.

Every AI solution is evaluated against your organisational goals to ensure relevance and measurable impact.

We support you beyond envisioning, helping you move into implementation and scale AI initiatives across the organisation.

Healthcare professional representing AI solution envisioning for clinical and operational use cases
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Simplyhealth Adopts Data Science for Greater Customer Understanding

Simplyhealth modernised its data and analytics capability to better understand customer behaviour and improve retention, supporting its wider ambition to become a data‑led health solutions provider. Working with Telefónica Tech, the organisation replaced legacy on‑premises systems with a Microsoft Azure data platform and developed in‑house data science skills, enabling a single, trusted view of customers across multiple policy systems. This shift allowed Simplyhealth to move from retrospective reporting to predictive insight identifying behaviours linked to policy lapse, enabling more targeted marketing, improving product engagement, and ultimately supporting better health outcomes for customers.

Engineer inspecting industrial machinery as part of AI and predictive maintenance strategy
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AI‑Driven Margin Protection at AtkinsRéalis

Using AI to detect hidden project risks, forecast margin erosion, and support smarter, earlier interventions across complex engineering programmes.

Aerial landscape representing AI solution envisioning and mapping a clear path to implementation
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AI That Pays Off: £230K Saved and a Year Gained

Empowering a UK government-backed organisation to modernise national asset management through intelligent innovation saving £230,000 per tender.

Conceptual image representing AI solution envisioning and structured idea generation

Start Your AI Solution Envisioning Journey

If you’re asking: “Where should we apply AI to deliver the most value?”

The answer starts with a structured approach to AI solution envisioning. Telefónica Tech will help you identify, prioritise, and plan AI initiatives that support meaningful business outcomes.

 

Contact our experts to get started.

 


Frequently Asked Questions

AI solution envisioning is the process of identifying, evaluating, and prioritising AI use cases based on business value, feasibility, and organisational readiness.

It helps organisations focus on the right AI opportunities, avoid wasted effort, and build a clear path to implementation.

You receive a prioritised list of AI use cases, feasibility assessments, and a roadmap for implementation.

Most engagements take a few weeks depending on organisational complexity and the number of use cases assessed.

You can move into implementation, pilot development, or broader AI strategy execution based on prioritised opportunities.

Team workshop using sticky notes for AI solution envisioning and use case prioritisation