Blogs

5 Connectivity Trends to Transform Enterprises in 2026 and Beyond

kieran.ball@digitalwell.com (Kieran Ball) — Thu, 25 Sep 2025 14:59:04 GMT

As organisations look towards 2026 and beyond, connectivity is no longer simply a technical concern for IT departments of enterprises. It has become a strategic imperative to remain relevant in a competitive marketplace. Technological advances are changing the way businesses connect. While speed and resilience are still priorities, now it's more about leveraging intelligence, agility and resilience for business excellence.

In this blog, we will explore the five key connectivity trends that are poised to redefine enterprise connectivity strategy over the coming years and how organisations can gain new efficiencies and business benefits by building more agile secure infrastructures.

For enterprises, Wi-Fi 7 will emerge as a game-changer, because everything will increasingly depend on wireless connections, driving richer collaboration and supporting bandwidth-intensive applications like Augmented Reality (AR), Virtual Reality (VR), and AI-driven analytics. Companies will adopt Wi-Fi 7 not just for speed, lower latency and better efficiency, but to foster innovation and new ways of working.

With Wi-Fi 7, network traffic can flow across all frequency bands simultaneously (2.4GHz, 5GHz and 6GHz) instead of being limited to a single band. If one band experiences interference, another takes over, so the connection remains stable. What’s more, the available channel width increases too, from 160MHz to 320MHz.

Hardly a day goes by without another AI story, and that is set to continue in 2026. In terms of enterprise connectivity trends, AI will become increasingly responsible for managing networks, optimisation, predictive fault management and security. This will free up the time of IT teams. Instead of reactive troubleshooting, IT professionals will focus on proactive innovation and aligning technology with business strategy.

As enterprises adopt more edge computing and IoT devices, AI will also play a critical role in orchestrating data flow between endpoints, cloud services and on-prem infrastructure, creating intelligent, self-optimising networks that can adapt dynamically to user behaviour and business needs.

Improved security will continue to be integrated into connectivity solutions, as enterprises adopt zero trust and identity-driven access to ensure every connection is secure. Cloud management will transition from an experimental phase to the standard operating procedure for network management, providing centralised control and global visibility. This will be vital as edge computing (see point 5) becomes the focal point of enterprise operations, where customer interactions and data generation occur. Enterprise networks must be as resilient and intelligent at the edge as they are back at HQ.

The number of IoT connected devices is soaring with forecasts projecting a rise to 40 billion devices by 2030. And the greater part of that growth will be in the enterprise sector, across a diverse range of applications, ranging from site security, industrial manufacturing, supply chain management and site security. Reliable, high-speed, secure wireless connectivity will be a priority to make this growth happen. The ability to collect, manage and process real-time data from these devices will become a real deciding factor when it comes to sector competitiveness. Which brings us neatly onto our last trend…

The future for enterprises will be shaped at the edge where customers are served, employees engaged and data generated. Edge computing will be essential for real-time processing and reducing the load on centralised clouds, meaning a distributed data strategy and localised nodes, which, for the most part, are currently incompatible with legacy, centralised network architectures. New connectivity models are essential to support this reality.

As cloud managed connectivity becomes the norm, NaaS platforms will provide cloud-enabled data-sharing and collaboration, while Secure Access Service Edge (SASE) and Zero Trust Architecture (ZTA) will provide secure remote access for distributed workforces.

For enterprises, more than ever, connectivity will become a strategic asset. No longer viewed as a cost centre, in 2026, connectivity will dictate the pace of innovation and delivering customer value.

And the most successful enterprises in this new era will not be judged by efficiency gains alone. Organisations saw a 402% ROI over five years from SD-WAN adoption. Now, real value will be found in monetisation of data. Networks will become breeding grounds for new revenue streams and business models based on the intelligence they contain. Enterprises that recognise these connectivity trends and invest in the latest solutions will be the ones that will thrive.

To ensure the success of your organisation in 2026 and beyond, talk to an expert at DigitalWell about our latest connectivity solutions.

AWS Cost Optimisation: Achieve Optimal Return on your Investment

kieran.ball@digitalwell.com (Kieran Ball) — Wed, 17 Sep 2025 15:04:34 GMT

While the cloud offers excellent opportunities for scalability, flexibility and cost reduction due to the lack of physical infrastructure and maintenance, without a robust cost optimisation strategy, AWS costs can creep up over time. In this blog, we look at some ways in which you can improve performance and optimise the value of your investment.

AWS operates mostly as a pay-as-you-go model – great for agility – but it can mean that some resources go underutilised. However, there are other pricing components you can use to manage your costs more effectively. Ultimately, AWS cost optimisation isn’t simply about lowering your bill but about getting the most value from your investment.

The first step in developing a AWS cost optimisation strategy is to understand the charges and how your operations impact your bill. That means gaining an in-depth knowledge of on-demand instances, spot pricing, savings plans and hidden fees:

On-demand pricing – Pay-as-you-go pricing with no long-term commitments. Offers flexibility but costs can add up if not properly monitored and controlled.

Reserved instances (RIs) – A commitment to a specific instance type over a fixed term for a discount. Ideal for long-term usage, but matching resource needs with the term of the agreement can require advance planning.

Savings plans – Flexible plans that allow you to commit to a level of usage for a number of different services. Ideal for securing the cost benefits of RIs with flexibility over services.

Spot pricing – Purchase spare AWS availability at discounted rates by bidding on instances. Suitable for flexible workloads, such as batch processing or data analysis, but runs the risk of interruptions.

Other costs – Computing, storage and data transfer charges can vary, depending on instance type, storage type and whether data transfer is inbound or outbound, but they all add up.

Once you understand the pricing components, you are better placed to make an informed decision on which best suit your needs at any particular time. The AWS pricing calculator can also help you assess the impact of changes you make to your AWS cost optimisation strategy.

As with any business operation, demand can rise and fall, which can result in unpredictable resource usage when it comes to your AWS services, leading to bills that are larger than anticipated. The key here is to put a strategy in place that gives you greater control over your resources and helps you manage your budget better.

Monitor resources to identify overprovisioned or underutilised resources, right-sizing deployments to match your workload.
Not all storage options are the same. Evaluate your storage needs and utilise cost-effective storage classes.
Optimise network architecture by minimising cross-region transfers and adjusting VPC settings to avoid unnecessary excessive data movement.
Leverage AWS automation tools to shutdown unused resources.

Getting the best value from AWS services means continually reviewing your usage. Analyse your spend, right-size resources and actively seek out money-saving opportunities. You can do this by logging into the AWS management console and selecting ‘Cost Explorer’. Here, you can create reports over a time period with billing data to better understand your spending habits. Look for spikes or anomalies that could indicate inefficiencies. You can also use filtering options to break down spending by region, service or account. This can allow you to spot areas of overprovision or underutilisation.

Automate cost monitoring and alerts – By setting up continuous monitoring, you can identify anomalies and prevent cost overruns. Choose metrics that have the greatest impact on your spending and set up CloudWatch alarms. Integrate these into operational tools such as Slack or Microsoft Teams.

Right-size resources – Match instance types and sizes to workload requirements. For example, organisations often under-utilise EC2 instances, leading to unnecessary costs. AWS tools such as Compute Optimizer and Trusted Advisor can help.

Optimise storage – Manage your storage costs more effectively by migrating unused volumes and old snapshots, delete unattached EBS volumes and make sure you use the right S3 tier.

Leverage Auto Scaling – Turn off idle resources when they’re not required. Use AWS Auto Scaling, as it ensures that you only use resources when you need to.

Make the most of AWS tools – AWS native tools such as Cost Explorer, Budgets, Cost Anomaly Detection and Trusted Advisor are all there to help you get more value. Learn how to use them and put them to work aligned with business needs.

Implement cost governance – Put in place policies to maintain discipline in cloud spend. Identify stakeholders, establish roles and document policies. Use automation to enforce cost controls.

AWS cost optimisation is an ongoing process of monitoring, refining and aligning cloud usage with business needs. And not every business has the time or resources to do that effectively. However, there is help out there. Outsourcing AWS cost optimisation as part of a CX transformation or upgrade is possible for those organisation that lack in-house expertise or require support with cloud spending. Engaging a partner can allow businesses to focus on their core operations while benefiting from expert-driven cost-reduction and maximised cloud value.

For more information on Amazon Connect, CX transformation or AWS cost optimisation, talk to an expert at DigitalWell.

Agentic AI in CX: 5 Industry Use Cases

kieran.ball@digitalwell.com (Kieran Ball) — Wed, 10 Sep 2025 14:22:27 GMT

Having explored the fundamentals of agentic AI and the best ways to implement the technology into the customer experience, in the last of our series of blogs on agentic AI, we’re going to delve into real-life industry use cases for the use of agentic AI in CX.

We’ve seen how agentic AI can analyse scenarios, make decisions, and act autonomously to solve complex problems with minimal human intervention, driving transformation in three key areas:

Customer-facing outcomes – Offering fast, frictionless and personalised experiences to customers.

Employee-facing outcomes – Providing tools that help employees to work smarter, automating repetitive tasks and providing insights.

Operational outcomes – Working behind the scenes to optimise business processes and aid decision making.

Agentic AI's ability to influence outcomes across an organisation underscores its transformative potential. As the technology continues to evolve, its integration will become a key driver of efficiency, customer satisfaction and strategic growth in every sector. Here we look at how agentic AI is solving problems in five key sectors.

Pain Points: In retail, businesses in competitive niches often work with tight profit margins and high-volume sales. This, in turn, means large numbers of customer interactions. Even the most basic queries across a growing number of channels can put strain on contact centres and other resources.

Solutions: Many retailers are already using AI to handle basic queries, but agentic AI can do much more. Because agentic AI can understand the context of interactions, it can personalise touchpoints across the customer journey, proactively engaging customers, making recommendations and driving revenue.

Dynamic pricing and stock control is one area in which agentic AI is making waves. Walmart uses it to monitor data points, such as competitor prices, demand and inventory levels, adjusting pricing and redistributing stock more effectively.

Pain Points: The hospitality sector has become incredibly complex, with multiple interconnected systems for hotel bookings, flights and entertainment options. For many, vacations are a once-a-year experience and viewed as a luxury. This, along with rising prices, particularly in the hotel sector, means customers have higher expectations.

Solutions: Agentic AI bots are able of creating highly personalised itineraries, as well as carrying out complex booking requests such as reservation changes. Based on the conversation with the customer, it can access relevant systems, deal with requests and facilitate booking amendments in real-time.

Multi-language support can be critical in international travel and a single agentic AI bot can switch language with ease, without having to transfer a customer to a human agent with the required language skills.

Pain Points: Consumer services operations, such as help lines, often deal with complex issues and can be frustrating for those contacting them. Customers are often transferred across multiple departments, or may simply be unable to get a response out-of-hours across multiple channels.

Solutions: While traditional bots could only handle basic tasks, agentic AI bots operate 24/7 with a higher resolution rate without having to pass queries onto human agents. They can even use image recognition to identify products and troubleshoot issues.

One particularly useful application is autonomous service resolution. While a traditional chatbot might direct a customer to a returns page, agentic AI can handle the entire multi-step workflow, verifying the order, checking company policy, offering a refund or replacement and even generating a return label.

Pain Points: A recent study found that administrative overload in healthcare is a huge problem: many health workers report working additional hours to complete administrative tasks. All this at a time when users are looking for more personalised care - and staff shortages are a real problem.

Solutions: When it comes to administration and associated paperwork, agentic AI can be handling much of this, freeing up health workers time to spend more time with patients. Tasks such as appointment scheduling, patient intake, requesting or sending documentation and other complex workflows can all be handled by agentic AI.

Because agentic AI can process huge amounts of patient data, it can also create highly tailored treatment plans, albeit with human oversight.

Pain Points: Financial services is an extremely competitive industry. If customers aren’t happy, they’ll go elsewhere. It’s vital that companies provide exceptional customer service. The sector is highly regulated and data-intensive, all things agentic AI is particularly well-suited to - especially in high-volume, high-risk areas.

Solutions: It should come as no surprise that it’s in financial services where AI is making the biggest impact. 60% of respondents in one study said that customer experience and engagement was the top use for generative AI and agentic AI is set to carry on that legacy. Not only is agentic AI automating more complex repetitive tasks, but it is also helping with dispute resolution, know-your-customer (KYC) compliance, reducing operational cost and minimising human error. Mastercard's AI-powered fraud prevention system processes 125 billion transactions every year.

Beyond compliance, it can act as a proactive wealth management co-pilot, monitoring balances in real-time, sweeping idle cash into higher yielding accounts, or rebalancing portfolios in response to market signals.

From orchestrating complex travel plans and preventing financial fraud to streamlining workflows in healthcare and optimising retail operations, agentic AI in CX is going beyond what generative AI could ever achieve. AI agents are unlocking efficiencies by connecting disparate systems and acting as personal assistants.

For intelligent self-service, proactive support and real-time personalisation, agentic AI is empowering CX teams to move beyond reactive service and into a new era of predictive, adaptive engagement. Those organisations that harness agentic AI for CX will be the ones that stand out - not just for what they offer, but for how effortlessly they deliver it.

Ready to explore what agentic AI can do for your CX strategy? Download the DigitalWell CX Buyers Guide here, then contact one of our agentic AI in CX experts to start your transformation journey.

Is your Business Ready for a CX Upgrade?

kieran.ball@digitalwell.com (Kieran Ball) — Mon, 25 Aug 2025 15:32:18 GMT

While the need for a CX platform becomes more significant in mid-sized companies, all types of organisations will benefit from some form of CX solution. With consumers spending more time interacting with businesses on their devices, CX technology has become essential for even small businesses. 83% of SMBs now believe that delivering excellent service is a key differentiator and 74% believe that the key to delivering exceptional service is the latest AI tools – gained through a CX upgrade.

But business managers have a lot to manage and can become complacent when it comes to the customer experience - relying on legacy CX technology and processes that are no longer fit for purpose. Here are some tell-tale signs that could indicate an investment in a CX upgrade isn’t just a smart move for your business, but a necessary one.

If your customer base is growing so too will the demands on your existing CX solution, and the team running it. Some indications that this is happening include:

a growing number of customer queries or simply increased call volumes.
difficulty maintaining service levels.
fragmented customer data across departments, sites or systems.

If you’re adding new channels, such as social media, WhatsApp, or live chat, it’s time to consider a CX upgrade to an omnichannel solution. The latest platforms unify channels giving employees an up-to-date, seamless, 360-degree view of a customer’s history with the business. Look out for:

increased contact on new channels.
a lack of visibility across interactions.
customers having to repeat information on separate channels.

AI has become the big gamechanger in CX. From agentic AI, to automation and self-service, today’s platforms offer powerful tools to streamline operations, boost customer satisfaction – and drive revenue. But not everyone's infrastructure is able to integrate AI tools. You might need a CX upgrade if you:

still handle simple repetitive queries manually.
are seeking to use personalise at scale.
want to benefit from the latest AI but your current tech won’t support it.

At a time when a robust CX strategy is a strong competitive differentiator, legacy technology and siloed systems can hold you back, damaging market share and growth. A future-fit CX platform integrates with CRM, finance systems and marketing solutions to create a connected ecosystem that drives further growth. If you're experiencing any of the following, it’s time to consider a CX upgrade:

increasing downtime and outages.
poor integration with other business tools.
limited analytics capabilities.

Great CX isn’t just about solving problems; it’s about building relationships too. If your business is adopting a customer-centric mindset then the latest platforms can support proactive engagement, feedback and a highly personalised service that drives customer loyalty and repeat business. Look out for:

declining customer satisfaction scores.
falling return business.
lack of insight into customer sentiment.

If any of this sounds familiar, then right now is the best time to start considering a CX upgrade. No matter what stage your business is at, the latest CX tools can help you accelerate your business objectives. And the DigitalWell CX 2025 Buyers Guide is an excellent place to start. This indispensable report is designed to help you make informed decisions to source the right CX solution for your needs. Download it here - 2025 CX Buyers Guide - DigitalWell.

Ready to discuss your needs? Talk to an expert at DigitalWell to find out how we can design a CX solution that meets the unique needs of your business.

Transforming the Customer Experience (CX) with Amazon Connect

kieran.ball@digitalwell.com (Kieran Ball) — Mon, 18 Aug 2025 15:54:08 GMT

DigitalWell is committed to delivering exceptional customer experience (CX) solutions tailored to meet the unique needs of each client. Which is why we’ve partnered with the best innovative CX providers out there. One of these is Amazon Connect - a powerful, flexible contact centre platform built on the same technology that powers Amazon’s own customer service operations. If you use other AWS services, such as data storage, then it makes sense to also use Amazon Connect as your CX platform – customised to meet the unique needs of your business.

Amazon Connect is a cloud-based contact centre platform designed to help businesses provide superior customer service at scale. Launched by AWS (Amazon Web Services), it enables organisations to set up and manage a contact centre with ease, and without the need for expensive hardware or complex infrastructure.

Unlike traditional contact centre solutions, Amazon Connect is entirely cloud-native, which means it can be deployed quickly, scaled effortlessly, and integrated with other AWS services and third-party tools. It supports voice and chat interactions, making it a unified platform for omnichannel customer engagement.

Amazon Connect offers a wide range of features that empower businesses to deliver efficient and personalised customer service. Along with providing telephony services using a built-in softphone, the platform can manage email, SMS and chat. It also does predictive dialling, using machine learning technology to determine between a live customer, a voicemail greeting or a engaged tone. Other key features include contact routing, queuing, analytics and case management.

Omnichannel Support - Handle customer interactions across voice and chat channels from a single interface. Agents can switch between channels seamlessly, ensuring consistent and contextual support.

AI-Powered Automation - Leverage AWS AI services like Amazon Lex (for natural language chatbots) and Amazon Polly (for lifelike voice responses) to automate routine tasks and provide 24/7 support.

Real-Time and Historical Analytics - Gain insights into customer interactions with built-in reporting tools. Monitor agent performance, call metrics and customer sentiment to continuously improve service quality.

Customisable Workflows - Use drag-and-drop tools to design contact flows tailored to your business needs. Route calls intelligently based on customer data, agent skills or business rules.

Scalability and Flexibility - Scale up or down based on demand - ideal for seasonal businesses or those experiencing rapid growth. Pay only for what you use, with no upfront costs.

CRM and Third-Party Integration - Integrate Amazon Connect with other CRM platforms such as Salesforce, Zendesk, or custom applications.

Secure and Compliant - Built on AWS’s secure infrastructure, Amazon Connect complies with industry standards and regulations, including GDPR, HIPAA, and PCI DSS.

We’ve touched on the fact that organisations that already use AWS services find it convenient to integrate their CX capabilities on the same platform, especially if that platform already holds their data, but there are other benefits.

Cost Efficiency - Traditional contact centres require significant investment in hardware, software, and maintenance. Amazon Connect eliminates these costs with a pay-as-you-go model.

Rapid Deployment – It’s possible to launch a fully functional contact centre in minutes, instead of months. This agility could be is crucial when responding quickly to a product launch, market changes or customer needs.

Improved Agent Experience - With intuitive interfaces and integrated tools, agents can focus on delivering great service rather than navigating complex systems.

Personalised Customer Journeys - By integrating with customer data platforms, Amazon Connect enables personalised interactions that build loyalty and trust.

Innovation and Agility - As part of the AWS ecosystem, Amazon Connect allows businesses to experiment with AI, machine learning, and automation to continuously evolve their CX strategy.

At a time when customer experience is of critical importance, Amazon Connect offers a modern, scalable, and intelligent solution for businesses looking to stay ahead. Whether you're a start-up or a global enterprise, Amazon Connect provides the tools to deliver exceptional service, reduce costs, and drive customer satisfaction.

To discover if Amazon Connect is the right contact centre solution for your business, start by talking to the CX experts at DigitalWell. To discover more insights on buying the right CX solutions for your business, download the DigitalWell CX Buying Guide.

Success with Agentic AI in CX: Applying the Human Touch

kieran.ball@digitalwell.com (Kieran Ball) — Tue, 12 Aug 2025 12:02:37 GMT

Since the advent of artificial intelligence, there has been a perception that AI would eventually replace human workers in CX. However, generative AI is now commonplace in contact centres and human agents are still there, working alongside it, managing AI tools and providing the vital oversight needed to make sure they work.

Now, agentic AI has become the biggest trend in CX in 2025 delivering on its promises; reasoning, making decisions and acting proactively – just like human agents. So, the same fear has resurfaced. But, while AI has advanced, it still lacks the ability to navigate ambiguity and make subjective judgements.

And that's where the human element comes into play – and can make all the difference when it comes to truly succeeding with agentic AI in CX.

The CX landscape now consists of three distinct approaches: generative AI, or self-service chatbots, focussed on resolving basic queries; more sophisticated agentic AI bots capable of making decision and taking actions; and human agents that manage, control and leverage these tools to enhance CX. All three work together in harmony, but lose the human element and the ecosystem will quickly fail.

Knowing when to limit AI in the customer experience is just as important as knowing where to implement it. That depends on multiple factors, such as customer demographics, query complexity, operational objectives and the capabilities of the deployed AI tools. The key to delivering more with agentic AI is to balance its capabilities with what human agents are good at. Since agentic AI is rules-based; it can’t use critical thinking or empathy. Moreover, it's critical that customers connect emotionally with brand and agentic AI can’t foster that type of connection.

The best CX leaders now know that succeeding with agentic AI means evaluating the gaps and opportunities created by the technology, then ensuring your people have the skills and knowledge to fill the gaps, elevating the customer experience and driving more value for the business.

So what sets human agents apart from the robotic ones? What are the skills and traits CX managers should seek out and instil in employees? That comes down to five main categories:

Critical thinking – Analysing situations beyond surface data by questioning assumptions, identifying bias and applying logic to address customer concerns.

Situational awareness – Appraising customer interactions in real-time to deliver highly personalised support with empathy.

On-site experience – Experienced contact centre employees have a unique understanding of their work environment, their role in it and the tools in use. That means they understand any quirks associated with the job and the technology. They know what the most frequent enquiries are going to be at any given time, what challenges are likely to occur on a day-to-day basis and how to deal with them effectively.

Creative problem-solving – In unexpected scenarios, human agents can use innovation and initiative to find creative solutions that solve problems, or exceed customer expectations.

Persuasion and influence – Human agents can be salespeople too, cross-selling and upselling if an opportunity is identified.

Agentic AI in CX can supply insights, summarise conversations and provide customer history so that human agents can make informed decisions that can affect customer satisfaction and drive revenue, but they're only as good as the data they’re trained on and that requires human oversight. Due to its complexity, agentic AI in CX systems requires much more robust monitoring and quality assurance compared to simpler automated solutions. Humans must be there to ensure that agentic agents are driving business goals, complying with ethical and legal considerations, and constantly refine the tools to ensure they improve on what they deliver. All of this means excellent career prospects for contact centre employees seeking to take on more senior roles training and managing AI agents.

It’s time for CX teams to stop viewing agentic AI as a threat, but as a partner, something that evolves and transforms the role of contact centre workers. CX leaders are critical in this, as they are the ones that need to optimise the implementation of agentic AI to get most value from it, along the way identifying skills gaps, creating opportunities for human-AI collaboration and driving more benefits from the technology as it develops.

For advice on the best ways to implement agentic AI in CX operations, talk to DigitalWell. To discover more about upgrading your CX platform for greater business success, download the DigitalWell CX Buying Guide.

FutureRange acquires DigitalWell’s Managed IT Services business in first post-investment deal

charles.kavassaki@digitalwel.com (Charles Kavassaki) — Wed, 23 Jul 2025 09:02:23 GMT

FutureRange has acquired the Managed IT Services division of DigitalWell, a move that expands its national presence and strengthens its engineering capabilities. The deal adds 18 experienced engineers and a significant portfolio of long-standing clients, immediately creating an additional 10 new roles across service delivery, account management, and engineering.

This acquisition is FutureRange’s first since Cardinal Capital’s recent investment. It marks a decisive step in FutureRange’s plan to build Ireland’s leading security-first managed service provider.

FutureRange completes first acquisition following Cardinal Capital investment, marking a significant milestone in its growth journey as part of the HLB Ireland Group. The move adds 18 highly experienced engineers and a substantial portfolio of managed services clients.
10 new roles created immediately, driving opportunities in service delivery, account management and engineering and signalling further growth ahead.
National reach has been strengthened with an expanded presence across Dublin, Cork, and Limerick, positioning FutureRange as one of Ireland’s most comprehensive technology partners.
Enhanced expertise in high-growth areas, with deeper capability in cybersecurity, cloud and AI services at a time when demand in these sectors continues to accelerate.
Clients gain direct access to HLB Ireland’s broader advisory and consulting strength, creating a powerful combination of technical and strategic support for businesses nationwide.
DigitalWell sharpens its focus, leveraging its strong market track record in delivering exceptional customer experience (CX), advanced communications, and secure connectivity services, the company is now accelerating the growth of its AI- and automation-powered business transformation services.

FutureRange’s expanded footprint now spans Dublin, Cork and Limerick. Clients transitioning from DigitalWell will experience continuity of service with the same engineering team and systems, along with access to FutureRange’s wider expertise in cybersecurity, cloud, and AI. They will also benefit from FutureRange’s integration with the HLB Ireland Group, gaining access to specialist accounting, advisory, and business transformation services.

The company states that this investment reflects its commitment to delivering high-quality service, providing proactive support, and fostering long-term client relationships.

FutureRange is a security-first provider of Managed IT Services with deep expertise in cybersecurity, cloud, and AI. Founded in Ireland, the company is known for its responsive, expert-led service and long-standing client relationships. With offices in Dublin, Cork, and Limerick, FutureRange supports organisations across multiple sectors, helping them remain secure, agile, and future-ready.

FutureRange is part of the HLB Ireland Group. HLB Ireland is a leading accounting and advisory firm. Together, they bring leading professional services and technology, both key drivers of business success.

DigitalWell is a leading provider of intelligent communications, customer experience (CX), and secure connectivity solutions, supporting enterprise clients across Ireland and internationally. By combining these core strengths with deep expertise in digital, AI, and automation services, DigitalWell delivers a powerful and compelling proposition as a trusted business transformation partner.

The company is now sharpening its strategic focus to accelerate growth across these high-impact service areas.

How to Successfully Implement Agentic AI in CX

kieran.ball@digitalwell.com (Kieran Ball) — Wed, 16 Jul 2025 11:15:40 GMT

Genesys has unveiled powerful new agentic AI capabilities within its Genesys Cloud platform. The new release includes Genesys Cloud^TMAI Studio and Genesys Cloud^TM AI Guides - a suite of tools that empowers CX teams to build, test and manage AI-driven interactions, including the creation of sophisticated virtual agents.

Following our earlier blog exploring the fundamentals of agentic AI and its transformative potential in the contact centre, it’s an opportune moment to delve deeper into how businesses can strategically implement agentic AI across their CX operations.

When a customer reaches out to a contact centre, they often need more than just answers and information – they need problems resolved through action. As revealed in our earlier blog, traditional AI models were limited in how they could help. By acting autonomously, agentic AI can do much more, such as interfacing with backend systems to access customer data and handling other requests such as returns, or even booking a travel itinerary. Whereas traditional bots operate through predefined flows, agentic bots are goal-oriented.

For operational purposes, for instance, this could mean using agentic AI to identify the causes of incidents and downtime and taking actions to prevent them in future. But, in terms of customer service, the real power of agentic AI lies in its ‘cascading’ of the customer experience. As internal processes become more efficient, responsive and intelligent, customers benefit from improved service reliability, faster resolution times and more seamlessly consistent support.

Empowered by agentic AI, virtual agents can operate across the customer journey, using LLM (large language models) to understand context, make decisions and take action autonomously – all while improving future decision-making based on learnings from interactions.

Every business is different and how you implement agentic AI will depend on operational challenges and organisational objectives.

Start slow - To implement agentic AI successfully, use a measured, phased approach, starting with well-defined processes. Managers should begin with high volume tasks that can be easily measured, such as order issue resolution or appointment scheduling. A successful pilot will provide invaluable learnings for a broader rollout.

Keep the human touch - The goal should not be to replace humans. With autonomy comes risk, use human oversight at every touchpoint and empower human agents to manage complex empathetic interactions. A Human-in-the-Loop (HITL) governance model can automatically pause AI and request human approval in high-risk scenarios.

Manage change - As with the implementation of any new system, a robust change management strategy will be essential to address the human element of the transformation. Leadership must champion the initiative, clearly communicating that human roles will evolve to focus on more complex, strategic and nuanced work. Ensure that upskilling and training is in place to foster engagement and buy-in.

Governance and compliance – Before deployment, create a cross-functional AI governance committed with representatives from legal, IT and business units to define ethical boundaries, use cases and accountability. Ensure compliance with regulations such as GDPR and the EU AI Act. AI law is still evolving so this is something organisations must continually review with regular audits.

To truly unlock the transformative potential of agentic AI, organisations must first lay a solid foundation. That means clearly defining your CX goals and investing in the right infrastructure -high-quality data, robust systems, and skilled agents. These elements are essential to ensure your contact centre is equipped to deliver measurable value across the organisation.

Agentic AI has the power to elevate both customer and employee experiences while driving operational efficiency. But success starts with strategy. Before diving in, seek expert guidance to design and implement a CX solution tailored to your organisation’s unique needs.

Start by talking to DigitalWell for advice on the best ways to implement agentic AI capabilities in your CX operations. To discover more about upgrading your CX platform for greater business success, download the DigitalWell CX Buying Guide.

2025 CX Buyers Guide

kieran.ball@digitalwell.com (Kieran Ball) — Tue, 24 Jun 2025 08:23:53 GMT

Innovations in CX technology are revolutionising the way organisations interact with their customers and these new tools are also helping companies to develop strategies that offer real business benefits. The role of CX has evolved beyond managing customer interactions to providing valuable insights that drive business goals. However, getting the most from these tools and successful implementation requires meticulous planning.

In the DigitalWell CX Buyers Guide, we will help you identify the best CX solutions tailored to your unique business needs, ensuring optimal outcomes and a solid return on investment.

Discover how to build a CX strategy that delivers business benefit and value now and into the future.

Key Highlights:

Explore what the latest CX solutions can do for your business.
The importance of audit organisational needs and systems.
Developing strong CX strategy in the contact centre.
Creating a modern tech stack.
CX tools and metrics.
How to choose the right CX partner.

Download the CX Buyers Guide for 2025 to discover how to acquire and implement the best CX tools and strategy for your organisation.

Windows 10 End of Life: Time to Upgrade to Windows 11

kieran.ball@digitalwell.com (Kieran Ball) — Fri, 13 Jun 2025 14:45:37 GMT

Microsoft will officially end support for Windows 10 on October 14th 2025. This means that, after this date, there will be no further technical assistance, updates or security patches. While devices running Windows 10 will continue to function, they will become increasingly vulnerable to security risks and malware.

Microsoft recommends that users update their systems to Windows 11 to avoid issues. If your hardware doesn’t support Windows 11, then users are advised upgrade their hardware, or purchase a new device. There is also the option to enrol in the Extended Security Update (ESU) program to avail of an additional year of protection.

For companies, the best solution is to plan an upgrade to Windows 11 as soon as possible. The newest version of Windows comes with a number of additional advantages for business, including:

Enhanced security – Today, security is a key priority for business and the latest version of Windows introduces a number of new features to protect your data and systems, including Windows Hello, enhanced biometric authentication; hardware-based security systems, such as TPM (Trusted Platform Module); Secure Boot and VBS (Virtualisation-Based Security) – all designed to protect your business against cyber threats.

Improved performance and productivity – Faster boot times and improved battery life make life easier for users, while DirectStorage allows applications to load assets directly from the SSD reducing load times and improving device performance.

User-friendly interface – The design of Windows 11 is more streamlined, intuitive and aesthetically pleasing offering a more efficient and engaging user experience. Users can even create multiple desktops for different purposes.

Improved compatibility – As well as backward compatibility, Windows 11 integrates smoothly with Microsoft 365.

AI enhancements – While Windows 10 had basic generative AI capabilities using Copilot, Windows 11 empowers Copilot to do much more, such as changing settings and organising windows using Snap Assist. In addition, the Windows 11 version of Paint comes with AI image generation.

And, of course, by upgrading to the latest version of Windows, users will continue to avail of ongoing support from Microsoft.

Upgrading Windows is a strategic decision that requires careful planning in order to secure the best outcomes for your business, involving:

Equipment assessment
Planning the upgrade
Hardware choice
Data backup
Windows 11 installation
Settings configuration
Staff training

Organisations are advised to start the migration now to avoid last-minute disruptions.