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The latest insights, updates and innovations from Node4.

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CTO Corner:

AI is getting expensive. That might be a good thing.

For the last couple of years, the conversation around AI has largely been about what is possible.

Copilots, agents, autonomous workflows. Every few weeks there seems to be another capability that makes what we were excited about six months ago look almost basic.

But I think the conversation is about to change.

We need to start talking about the cost of AI.

Microsoft’s recent launch of Copilot Cowork is a good example. Having graduated from the Frontier programme, Cowork can take on increasingly complex pieces of work across Microsoft 365. But unlike the relatively predictable world of traditional software licensing, its cost is based on usage. The more work it does, the more you consume.

We are seeing the same principle emerge across the agent ecosystem. Copilot Credits, pay-as-you-go services and consumption-based models increasingly sit alongside the licence itself. Microsoft is even providing tools to estimate agent consumption before deployment.

None of this is necessarily a bad thing.

But it does mean that the days of simply “turning AI on” are coming to an end.

Imagine an organisation with hundreds of employees creating agents. Some run occasionally. Others perform thousands of actions. Some query large amounts of data or call other systems. Suddenly AI isn't just a productivity tool; it is another technology estate with a variable operating cost.

And that's where governance becomes important.

Not governance designed to stop people experimenting. Quite the opposite. Organisations should encourage their people to find new ways of using AI.

But somebody needs to be able to answer some fairly basic questions:

What AI and agents are we running? Who owns them? What data can they access? What are they costing us? And, most importantly, what value are they creating?

That last question matters most.

If an agent costs £5,000 a year but removes £50,000 of manual effort, fantastic. If we're consuming thousands of pounds of AI because somebody built an interesting agent six months ago that nobody now uses, that's a different conversation.

This is why I think the business case for AI is actually becoming more important, not less.

Organisations need mechanisms to discover and catalogue their AI estate, allocate ownership, monitor consumption and establish sensible budgets. The supporting governance model becomes much closer to FinOps than traditional software licensing: understand consumption, optimise it and continually compare cost against value. The same principle applies to lifecycle; unused or poorly performing agents should not simply live forever.

At Node4, this is increasingly where our conversations with customers are heading: not simply “How do I get more AI?” but “How do I scale AI without losing control of it?”

For me, that's a sign that AI is growing up.

The winners won't necessarily be the organisations with the most agents.

They'll be the ones that know which agents are genuinely worth paying for.

CTO Corner Author

 

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As a Microsoft Azure Expert MSP and Inner Circle Partner, we help customers access exclusive Microsoft funding to reduce cost, de‑risk decisions, and accelerate technology adoption.

Product Spotlight:

Dynamic Credit Control for nHanced Credit Control.

Microsoft Dynamics NAV: Time to Start Planning Your Next Move

Microsoft has announced the end of sale for all Dynamics NAV on-premises products, effective 30 April 2031. Following that date, customers will no longer be able to renew Service Plans or subscriptions, purchase additional perpetual licences, or continue using NAV through SPLA agreements. Microsoft is encouraging customers to begin planning their move to Dynamics 365 Business Central, its modern cloud-ready ERP platform.

Although the 2031 deadline may appear distant, organisations running Dynamics NAV should start evaluating their options sooner rather than later. Dynamics NAV 2018, the final NAV release, reaches the end of extended support in January 2028, and many upgrade programmes can take significant time to plan and execute, particularly where customisations, integrations, and operational change are involved.

For many businesses, the challenge has not been deciding to move to Business Central, but the cost, complexity, and disruption associated with upgrading heavily customised NAV environments. This is where Node4 can help.

At Node4, we're already helping customers assess their migration path to Business Central. Our team has developed AI-assisted tooling that helps accelerate the transformation of customised NAV code into Business Central-compatible code, reducing a major element of the upgrade effort and helping lower project costs.

However, successful modernisation is about more than code conversion alone. Customers should consider application architecture, integrations, data migration, testing, user adoption and long-term operational requirements when developing their roadmap.

How Node4 Can Help

    • NAV estate and readiness assessments
    • Upgrade planning, funding and roadmap development
    • AI-assisted NAV code conversion
    • Business Central implementation and modernisation services
    • Integration and application architecture support
    • Ongoing managed support and optimisation

Our recommendation is simple: start planning early. As more organisations begin their transition from NAV to Business Central, demand for specialist resources and implementation services is likely to increase. Beginning your assessment now gives you greater flexibility, reduced risk, and more time to align the move with your wider business objectives.Ms Nav Webinar image - NL

Dynamic Credit Control for nHanced Credit Control

What if your credit control team could identify potential payment risks before they become overdue invoices? With the new Dynamic Credit Control functionality in nHanced Credit Control, you can move from reacting to late payments to proactively managing risk before it impacts cash flow and operations.

For years, nHanced Credit Control has helped businesses manage existing credit issues directly within Microsoft Dynamics 365 Business Central. Features such as live Aged Accounts Receivable, payment promise tracking, next chase dates, and automatic email logging give teams everything they need to manage overdue debt effectively.

But these tools address problems that already exist: goods have already been shipped and late payments have already occurred.

Dynamic Credit Control changes that by allowing you to identify potential problems and deal with them before they happen.

At its core are two complementary features - Credit Scoring and Balance Prediction - which help you assess customer risk today and anticipate its impact tomorrow.

Credit Scoring

Not all customers present the same level of risk. Some pay early, some pay on time, and others seem to treat payment terms as a gentle suggestion.

The new Credit Scoring functionality analyses historical payment behaviour and automatically assigns customers a configurable Credit Score. This provides a quick, visual way to understand which customers regularly pay on time, and which customers consistently test your patience.

 Rather than relying on anecdotal knowledge or manual reviews, credit controllers can instantly identify higher-risk accounts and prioritise their attention where it matters most 

Balance Prediction

Dynamic Credit Control uses historical payment patterns to predict a customer's likely future balance when a sales order becomes relevant, such as when goods are due to be shipped. 

Now, despite our best efforts, the truth is we haven’t quite cracked predicting the future yet. But what we can do is use past behaviour as a powerful indicator of future risk. 

Customers who consistently pay late tend to accumulate outstanding invoices for longer periods. This naturally results in a higher predicted balance and, therefore, more frequent approval checks. Customers with strong payment histories, meanwhile, are likely to keep their balances lower and can utilise more of their available credit without unnecessary intervention. 

The Benefits 

By combining Credit Scores with Balance Prediction, Dynamic Credit Control gives you the confidence to apply more intelligent credit controls without creating friction for reliable customers. 

This means: 

• Faster order processing for customers who consistently pay on time 
• Earlier identification of potentially risky orders 
• Reduced manual reviews and approval bottlenecks 
•  Improved cash flow management 
• Less time firefighting and more time preventing issues 

Dynamic Credit Control helps ensure your credit controllers spend their time where it delivers the greatest value: maintaining healthy customer relationships, keeping orders moving, and protecting cash flow before problems arise. 

FinOps v2: extending financial control across cloud, SaaS and AI

Node4 has launched FinOps v2, a major enhancement to its FinOps service that extends financial governance and optimisation beyond Azure to include Virtual Data Centre (VDC), Microsoft 365 and AI workloads.

FinOps v2 gives organisations a unified view of technology costs, helping improve visibility, strengthen cost management and optimise the value of technology investments.

Why this matters-1

As cloud, SaaS and AI adoption grows, having greater visibility and control across these environments can help organisations make more informed decisions about where technology spend is delivering the most value.

Introducing Our Network Support Proactive Team

The Network Support Proactive team represents a long-term investment in continually enhancing the quality, resilience, and supportability of the services we provide to our customers.

As the team develops, its focus will be on identifying opportunities to strengthen customer environments, improve operational visibility, enhance service standards, and introduce greater automation and efficiency. These improvements will be delivered progressively, creating lasting benefits that build over time.

Our initial priority is to focus on the areas where we can deliver the greatest value, ensuring that customers see measurable improvements in service quality, reliability, and overall support experience as the team establishes new capabilities and drives continuous improvement across our network services.

Office Photos N4-14

As our services and customer base continue to grow, investing in proactive capability is essential. The Network Support Proactive team will help us improve supportability, reduce operational risk, and deliver ongoing improvements that enhance the experience our customers receive every day.

Chris Pagel

Head of Network (Network and Security Practice)

Come and visit our Datacentres

See for yourself how secure, resilient and scalable infrastructure could take the pressure off your IT teams.

Data Centre Team

Mircosoft & AI:

Preparing your business for the next phase of AI

For the last few years, most AI conversations have focused on productivity. How quickly can someone write a document, summarise a meeting, analyse a spreadsheet or generate a presentation. Tools like Microsoft Copilot have delivered meaningful improvements, but they largely support the way organisations already work.

What's emerging now is something much bigger.

Products such as Microsoft Researcher, Copilot Studio and Microsoft Foundry are enabling organisations to move beyond AI-assisted work and towards AI-enabled execution. Instead of helping people perform tasks, AI agents are increasingly capable of carrying out defined pieces of work themselves, whether that's conducting research, monitoring business processes, generating reports, responding to service requests or coordinating activities across multiple systems.

This shift creates a significant opportunity, but it also exposes a challenge many organisations haven't yet addressed. The technology is advancing far faster than the governance, operating models and support structures needed to manage it effectively.

Today, many businesses are still focused on identifying use cases or running pilots. Yet the organisations seeing the greatest value are asking different questions. They are thinking about ownership, accountability, data access, security, compliance and operational oversight. In other words, they are treating AI as a business capability rather than a technology project.

This is particularly important as AI agents become more connected to business systems and processes. An agent that can access data, trigger workflows or interact with customers requires the same level of control and visibility as any other business-critical asset. Understanding what an agent can do, what information it can access and how its decisions are monitored is rapidly becoming as important as the technology itself.

The opportunity for organisations today is not simply to deploy more AI. It is to build the foundations that enable AI to scale safely and sustainably. That means establishing clear governance, defining ownership, implementing appropriate security controls and creating a framework for identifying, prioritising and managing AI use cases across the organisation.

For professional services firms, finance teams and knowledge-based organisations, the impact is likely to be particularly profound. Many of the activities that consume time today, such as research, documentation, analysis, reporting and compliance preparation, are increasingly becoming candidates for automation or augmentation. The value created by people will shift away from information gathering and towards judgement, decision making, customer engagement and strategic thinking.

The organisations that gain the most value from AI over the next few years are unlikely to be those with the largest number of agents or the latest models. They will be the organisations that combine innovation with strong governance, align AI initiatives to business outcomes and create operating models where people and AI can work together effectively. The real challenge is no longer whether AI will be adopted. It is whether organisations are prepared to manage it once it becomes part of the workforce.

We're seeing strong up take of AI governance tools including the Microsoft E7 suite including Agent 365, Defender for Cloud Apps and more, but increasingly revisiting the information labelling capabilities of Purview, especially since these are no longer nice to haves, but are now being actively enforced through regulatory change such as the EU AI Act, being enforced from the 2nd of August 2026.

Microsoft Spotlight

 

Our Caledonian Sleeper story, now featured by Microsoft

From fragmented data and manual processes to a connected Dynamics 365 and Power Platform setup, see how we helped Caledonian Sleeper give its teams a clearer view of every guest interaction, work more efficiently and deliver a smoother experience.

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What's On at Node4?

Our events span across our entire product offering so be sure to check out what's up and coming.

Meet the team:

The people making it happen.

I enjoy working with customers for leaner processes and system based improvements, across a variety of industries and system versions

David Rankine

Engagement Manager

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First conversation to final outcome, I make sure customers get where they need to be

Kayleigh Greening

BAU Co-Ordinator

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I drive continual improvement, maintain compliance standards & external audits

Jenny Cooper

Quality Manager

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We put our customers at the centre of everything we do

Jorge Neto

Head of BAU & Country Manager Portugal

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Beyond A-level results: Preparing for careers in the AI era

AI is changing more than the technology we use - it’s changing the skills businesses need. Victoria Knight, Chief People Officer at Node4, joins industry leaders to explore how organisations can support the next generation and build a workforce ready for what’s ahead.

Headshot Victoria (1)

Did You Know?

Let's keep the conversation going

If you'd like to learn more about any of the topics featured in this edition, get in touch with our team or join us on LinkedIn for more insights and updates.