What does ‘system‑wide’ progress in the UK’s connections space actually look like?

In the first blog of this series, we explored the critical role of skills, capability and workforce development in addressing the growing pressure on the UK’s connections system. While these capabilities are essential, they’re not sufficient to resolve the challenge on their own.

To unlock meaningful and sustained progress, the industry must now turn its attention to how connections services are designed, delivered, and experienced end-to-end. That means strengthening collaboration across the ecosystem, a shift towards end-to-end service monitoring, embedding the voice of the customer into decision‑making, and using AI and data to improve transparency, predictability, and trust.

Here, we’ll explore the next set of opportunities for the connections space – opportunities that move beyond individual organisations and towards genuinely system‑wide outcomes.

Plus, learn how we’re uniting the industry behind this cause at our Connections Innovation Fair on 28^th April.

From organisational silos to shared purpose

Distribution Network Operators (DNOs), Transmission Owners (TOs), the ESO, developers, local authorities and customers all play a vital role in the industry – but collaboration across these parties has historically been limited. This has resulted in fragmented processes, regional variation, poor visibility of end‑to‑end progress, misaligned priorities, an inconsistent customer experience and, ultimately, reduced trust among customers and industry participants.

A more effective connections model depends on stronger collaboration across the ecosystem. Done well, this can reduce friction, improve efficiency, and deliver a more coherent experience for customers navigating an increasingly complex system.

How do we get there? Well, it starts with shared knowledge and data to improve transparency across the ecosystem. It requires a collective industry vision for connections reform, aligned to net zero objectives, and clearer communication and decision‑making to strengthen trust and confidence.

Shifting to end-to-end service monitoring

Connections performance is still too often assessed through individual process stages or regulatory KPIs rather than from the perspective of the customer’s end‑to‑end journey. As a result, commercial and industry service‑level agreements are frequently considered too late in the design process. This limits visibility of overall service performance, encourages reactive management of delays, and creates unclear accountability across organisational boundaries.

Embedding end‑to‑end service monitoring into connections delivery changes this dynamic. It enables organisations to track customer journeys across the full lifecycle, integrate service‑level expectations directly into operational workflows, and move from retrospective reporting to proactive service management.

With modern approaches to CX-led service design and digital platforms, it’s now possible to create a shared operational view across stakeholders, identify emerging risks earlier and manage performance more holistically – supporting more predictable, transparent, and trusted delivery.

Bringing in the voice of the customer

Despite their diversity, connections customers share common frustrations: uncertainty, lack of visibility and inconsistent communication. Too often, customer insight is captured after issues arise rather than shaping decisions from the outset.

A customer‑driven approach places insight at the heart of connections design through digital capabilities such as:

• Customer journey analytics – Pinpointing where delays or drop‑offs are most likely, using data‑led journey analysis informed by retail‑style conversion funnel thinking.
• Personalisation – Tailoring communications and guidance so customers receive the right information at the right time, based on preferences, project complexity and journey stage.
• A single view of the customer – Augmenting traditional customer records with behavioural, sentiment and journey insights to create a richer, more dynamic understanding of customer needs.
• Social listening – Identifying emerging trends and recurring pain points across public and digital channels.
• Sentiment analysis – Analysing calls, emails and online journeys to surface hidden frustration or confusion, not just formal complaints.

Together, these capabilities enable a more transparent, responsive, and trusted connections experience for customers and delivery teams alike.

Improving data issues and leaning into AI to support better decisions at scale

Many delays in the connections process can be traced back to data issues, including incomplete submissions, late validation, and inconsistent standards. These problems drive rework, slow decision‑making, and introduce unnecessary friction for both customers and delivery teams.

A data‑driven approach to connections design puts data quality and user needs at the centre of the process. This means validating information earlier in the lifecycle, designing journeys around real user behaviour, and moving decisively away from paper‑first approaches towards digital‑first, self‑service experiences.

By improving data quality upfront and aligning processes more closely to how customers and practitioners actually work, this shift reduces rework, accelerates decisions and creates a more intuitive end‑to‑end journey – while delivering meaningful operational efficiency gains across the wider system.

This is also one of the ways AI can become a practical enabler across the energy and utilities sector, and the connections space is no exception. Used effectively, it can help identify risks and constraints earlier in the lifecycle, support decision‑making across complex trade‑offs, and reduce manual effort and reliance on scarce specialist expertise.

One of the most immediate opportunities lies in AI‑enabled knowledge management. Connections delivery often depends on fragmented guidance, local interpretation and hard‑to‑access expertise, creating inconsistency and uncertainty across the system. AI can help address this by centralising knowledge and making it easier to surface at the point it is needed.

By providing consistent, contextual responses to customer and agent queries, supporting self‑service education for developers and domestic customers, and improving confidence across frontline teams, AI‑driven knowledge management can significantly improve how connections services are experienced and delivered. The result is greater service consistency, faster resolution, and better outcomes for both customers and networks.

Continue the conversation at Capgemini’s Connections Innovation Fair

No single organisation can solve the connections challenge alone. Progress depends on stronger collaboration across the ecosystem, customer‑centric design, and the intelligent use of data and AI to support reform.

Join us at the Capgemini Connections Innovation Fair to explore how the industry can tackle the scale and complexity of the UK’s electricity connections challenge as a united front. We’re bringing together leaders from across the sector to share practical insights, discuss the future of connections delivery, and focus on what it will take to move from incremental change to system‑wide outcomes.

You’ll also see innovation in action through practical demonstrations from our top technology partners – including Microsoft, Salesforce, and OutSystems – showcasing how AI is already being used to unlock greater speed, insight and efficiency across the end‑to‑end connections process. It’s an opportunity to learn from real examples, exchange ideas with peers, and take away tangible approaches that can be applied today.

When? 28^th April

Where? Capgemini’s Applied Innovation Exchange, St. Paul’s, London

Find more details and register here.