Author Archives: Jason Kemp

Protected Sender ID

Protected Sender ID: Strengthening Trust in the SMS Ecosystem

Introduction

The growth of Application-to-Person (A2P) messaging has made SMS one of the most important communication channels for banks, healthcare providers, retailers, government agencies, and other organisations. However, the increasing use of SMS has also created opportunities for fraudsters to exploit sender ID spoofing, impersonating trusted brands and deceiving consumers through phishing and smishing attacks. As a result, a Protected Sender ID is essential.

To combat this growing threat, the Mobile Ecosystem Forum (MEF) has championed initiatives aimed at improving trust and transparency across the global messaging ecosystem. One of the most effective measures is the use of a Registered or Protected Sender ID, which ensures that only authorised organisations can send messages using a specific brand name.

A Protected Sender ID prevents unauthorised parties from sending messages that appear to originate from a legitimate organisation. This significantly reduces brand impersonation, protects consumers from fraud, and enables mobile operators to identify and block suspicious traffic before it reaches subscribers.

Ireland: ComReg’s Sender ID Registry

Ireland has become one of the first European markets to introduce a formal SMS Sender ID Registry under the oversight of the Commission for Communications Regulation (ComReg). The registry requires organisations using alphanumeric sender IDs to register and validate ownership of those identities before sending messages to Irish mobile users.

The initiative is designed to reduce SMS fraud by ensuring that only legitimate organisations can use protected brand names. Messages sent from unregistered sender ID’s may be flagged as suspicious and, over time, face increased restrictions or blocking by participating mobile operators. Importantly, the requirements apply not only to Irish organisations but also to international businesses and messaging providers delivering traffic into Ireland.

The United Kingdom: Protecting Trusted Brands

While the UK has not implemented a national sender ID registry model, the industry has increasingly adopted sender ID protection mechanisms through collaboration between mobile network operators, messaging providers, and industry bodies.

UK mobile operators work with messaging providers to identify and protect high-value sender IDs associated with banks, government agencies, financial institutions, and major consumer brands.

The UK’s approach aligns closely with broader industry initiatives promoted by the MEF and supported by organisations such as the UK’s communications regulator, Ofcom. The focus is on improving trust in business messaging while minimising disruption to legitimate communications.

The Role of Foreign Networks

As Protected Sender ID becomes more common across Europe, foreign networks and international messaging providers face growing compliance requirements. A sender ID that is accepted in one market may require registration, validation, or protection in another.

Looking Ahead

At Saascoms we understand the compliance requirements of our clients.  This means:

  • Aligning with MEF best practices for sender identity management.
  • Maintaining clear ownership records for branded sender ID’s.
  • Registering sender IDs where national frameworks require it.
  • Monitoring regulatory developments across different markets.

If you have any questions relating to UK or international Protected Sender ID, then reach out to Saascoms who will help, support and guide you.

Saascoms YouTube Channel

Saascoms YouTube Channel – bigger and better

Content, Content, Content

Saascoms YouTube Channel has recently relaunched, bringing together all our video clips under one roof! From video introductions of our major software platforms, Mailmaster, Omnireach and Resolution, to discussions about current topics in the DCA and Contact Centre industry.

A New Knowledge Base

At Saascoms our website and blogs already host a wealth of information about our services, industry developments, opinions, news and product development. Recently we have reinvigorated Saascoms YouTube Channel to provide a source of visual information, complementing our website.

In addition, we also send out a monthly Newsletter, if you don’t already receive it in your inbox – then sign up HERE.

Video Selection

So what video content can you discover on the Saascoms YouTube Channel? Currently it is split into three main areas:

  • Promotional – these are video’s delivering an overview of Saascoms, Mailmaster, Omnireach and Resolution. A little snapshot to provide a corporate overview of each service.
  • Product Interviews – Saascoms Founder Paul Nield delivers an elevator pitch for Saascoms key software platforms, taking you through features and benefits.
  • Opinion – from the price of stamps to the cost of living, pros and cons of AI to FCA changes, we’ll give our point of view.

Drop In And Comment

Please visit Saascoms YouTube Channel and let us know what you think by giving a like or leaving a comment. We’ll be building our library to deep dive into our products and services, our industry and more.

Saascoms YouTube Channel

 

 

AI in Digital Engagement

Part 5: AI in Digital Engagement – How To Make It Work

The problem with most AI strategies isn’t the technology, it’s everything around it

By now, most organisations have realised conversational AI in digital engagement is no longer something “coming in the future.” It’s already here. The question is, how to make it work?

Customers are using it every day, whether that’s through webchat, messaging apps, SMS, or self-service portals. Saascoms Omnireach provides conversational AI through a digital platform to over 700 global brands. Businesses are under pressure to modernise quickly, reduce operational costs, and offer the kind of always-on digital experiences customers now expect as standard.

And to be fair, the technology itself has moved incredibly quickly.

AI can understand intent, automate conversations, route customers intelligently, and support millions of interactions at scale. In many cases, it’s already outperforming traditional service models in terms of speed and accessibility.

But despite all of that, there’s still a huge gap between what businesses expect AI to deliver and what actually happens once it’s deployed.

That’s because most organisations are approaching AI the wrong way.

  • They’re focusing on the chatbot before the customer journey.
  • The automation before the process.
  • The technology before the foundations.

And that’s where things start to unravel.

AI is not a shortcut to operational maturity

There’s a common misconception that AI somehow fixes inefficient operations, but it doesn’t. What AI actually does is expose them faster.

  • If systems are disconnected, AI struggles.
  • If customer data is poor, AI becomes unreliable.
  • If journeys are unclear, automation breaks down.

That’s why so many AI projects look impressive during a demo but hit problems in the real world. Real customers don’t behave like controlled test environments. They change topic halfway through a conversation, present unusual situations, or become emotional and uncertain.

And that’s where businesses suddenly realise AI is not a plug-and-play solution. It’s an operational layer that depends entirely on what sits beneath it.

Most organisations are trying to scale too quickly

One of the biggest mistakes we see is businesses trying to roll AI in Digital Engagement across every customer touchpoint at the same time. That usually comes from pressure internally. Senior teams want transformation quickly. Vendors promise rapid deployment. Competitors are talking publicly about AI initiatives.

So organisations rush.

The problem is that conversational AI matures through learning, refinement, and operational understanding. It needs time. Saascoms Omnireach has learned from over two million conversations. The businesses seeing the best results are rarely the ones trying to automate everything overnight. More often, they start with a very specific use case.

  • It might be webchat.
  • It might be SMS engagement.
  • It might simply be automating common enquiries.

The point is they start somewhere manageable, learn from it, improve the workflows around it, and expand gradually.

Data is still the elephant in the room

Every AI conversation eventually comes back to data. AI is only capable of making decisions based on the information available to it. If that information is fragmented, duplicated, outdated, or inconsistent, then the customer experience quickly deteriorates.

Many organisations have spent years building systems independently of one another. Different departments hold different customer records. Historical interactions are scattered across platforms.

Humans can often work around these issues because they apply judgement and context naturally, but AI cannot. AI interprets data literally. Which means even small inconsistencies can create poor outcomes.

Eventually every AI strategy reaches the same question, “Can the technology actually trust the information it’s using?”

Customers don’t want AI — they want resolution

Most customers don’t care whether they’re interacting with AI, a chatbot, or a human agent. What they care about is whether their issue gets resolved quickly and easily. Many AI strategies still focus too heavily on the conversation itself rather than the outcome.

Customers don’t want to repeat information, switch channels, or be told to contact support after an automated interaction. They simply want the issue resolved. Which means conversational AI only becomes truly valuable when it’s connected properly into operational systems.

If the AI can’t take action, update accounts, trigger workflows, or complete transactions, it eventually becomes another layer of friction instead of a solution.

With Saascoms Omnireach, when the AI cannot resolve the customer query, all conversations (across multiple digital platforms) are presented to a live agent on one screen. This enables fast resolution without the customer repeating themselves.

This is why hybrid engagement works best

There’s a lot of discussion about AI replacing human teams, but realistically, the organisations getting the best results today are the ones combining both.

AI is exceptional at speed, scale, and consistency. It handles repetitive interactions brilliantly and allows businesses to operate far more efficiently than traditional models ever could.

But humans still matter enormously. Especially when conversations involve vulnerability, complexity, emotional nuance, financial difficulty, or complaints. Those situations require judgement and empathy in a way AI still struggles to replicate effectively. The strongest digital engagement strategies understand this balance.

AI handles the repetitive and operationally heavy tasks. Humans focus on the interactions where reassurance, flexibility, and problem-solving matter most.

The businesses succeeding with AI are taking a long-term view

Perhaps the biggest misconception around AI is the idea that implementation is the finish line. In reality, deployment is only the beginning. Conversational AI needs continuous refinement because customer behaviour changes constantly. Language evolves. New intents emerge.

Successful AI environments are continuously monitored, retrained, and improved over time. The organisations seeing real success with AI are treating it as an operational capability and not just a technology project.

AI success is built, not installed

There’s no doubt conversational AI will continue reshaping digital engagement over the next few years. But despite all the noise in the market, the businesses seeing the strongest outcomes are usually not the ones chasing the most automation. They’re the ones building the strongest foundations.

Because ultimately, AI is not the strategy it’s the accelerator. And if the operational environment underneath it isn’t ready, AI simply magnifies the gaps that already exist. The future of successful digital engagement will belong to organisations asking “How do we build an operation that AI can genuinely enhance?”

For more information on Saascoms conversational AI solutions please contact the team or visit our YouTube Channel for a brief video overview.

Hybrid AI and Human Engagement

Part 4: Why Hybrid AI and Human Engagement Is the Only Strategy

Introduction: The Automation Fantasy

The conversation around Hybrid AI and Human Engagement has become increasingly extreme. Every week there’s another headline claiming:

  • AI will replace customer service teams.
  • Call centres will disappear.
  • Human interaction will become obsolete.

And while conversational AI has undoubtedly transformed digital engagement, there’s a growing gap between what’s being promised and what’s operationally realistic. Because despite the hype, most organisations are nowhere near ready for fully autonomous customer engagement.

Not because the AI is weak. But because real customer interactions are far more complex than most automation strategies assume. This is why the most successful organisations today are not pursuing “AI-only” strategies.

They are building hybrid engagement models which combine AI efficiency with human judgement, empathy, and flexibility. That’s where the best customer outcomes are happening and what Saascoms is seeing with our clients. They are combining Omnireach with expert agents to deliver customer excellence.

The Problem With Full Automation

On paper, full AI automation sounds ideal. Customers interact with AI which resolves the issue instantly. No agents required. However, in most sophisticated interactions this is pure fantasy. The dream of lower costs, unlimited scale and 24/7 availability only works for simple interactions. Real life doesn’t operate in straight lines.

Customers:

  • Change direction mid-conversation
  • Ask unexpected questions
  • Present emotional or vulnerable situations
  • Require reassurance and flexibility

AI performs exceptionally well when:

  • Journeys are structured
  • Outcomes are predictable
  • Rules are clearly defined

But once conversations move outside predefined workflows, things become far more difficult. This is where Saascoms Omnireach comes in, delivering all the previous digital interaction to a live agent on one screen.

Digital Collections AI

Customers Are Not Linear

One of the biggest mistakes organisations make is designing AI around “perfect journeys.”

The assumption is:

1. Customer asks a question
2. AI identifies intent
3. AI follows workflow
4. Resolution achieved

But real customer behaviour is rarely that simple.

A customer may:

  • Start with a payment query
  • Mention financial hardship
  • Raise a complaint
  • Change communication preference
  • Reveal vulnerability

And all within the same interaction. Humans (specifically live agents) adapt naturally to this, but AI struggles.

Where AI Excels

This does not mean AI isn’t incredibly valuable. Conversational AI is already highly effective in digital engagement environments. AI is excellent at:

  • FAQs
  • ID&V
  • Balance queries
  • Payment reminders
  • Routing and triage
  • Simple transactional tasks
  • Repetitive administration

AI also delivers:

  • Faster response times
  • Greater consistency
  • 24/7 accessibility
  • Reduced operational pressure

For straightforward interactions, customers often prefer automation because it is faster, easier and more convenient. Using Omnireach, Saascoms clients see anything from 60%-90% resolution using AI alone.

customer service advisor

Where Humans Still Matter Most

The challenge comes when conversations require:

  • Judgement
  • Nuance
  • Empathy
  • Flexibility

This is particularly important in regulated or emotionally sensitive environments. For example:

  • Vulnerability
  • Financial hardship
  • Complaints
  • Mental health indicators
  • Complex disputes

These interactions often require contextual understanding, emotional intelligence and dynamic decision-making. And critically customers need to feel understood and not merely processed. And this is where human agents remain irreplaceable.

Why Hybrid Models Deliver Better Outcomes

A hybrid approach creates balance.

AI provides:

✔ Speed
✔ Scalability
✔ Availability
✔ Efficiency

Humans provide:

✔ Empathy
✔ Flexibility
✔ Judgement
✔ Resolution capability

Together, this creates:

  • Better customer experiences
  • Faster overall resolution
  • Reduced friction
  • Improved compliance
  • More effective operational scaling

Importantly, customers also retain choice.

The Human Element Becomes More Valuable and Not Less

Ironically, the better AI becomes, the more valuable skilled human agents become. Why? Because AI removes low-value, repetitive interactions. This means agents spend more time on:

  • Meaningful conversations
  • Complex support
  • Higher-value customer outcomes

And agents evolve from transaction handlers into:

  • Problem solvers
  • Resolution specialists
  • Customer advocates

That’s a significant operational improvement for both organisations and customers.

Conclusion: Hybrid Isn’t a Compromise, it’s Best Practice

There is no doubt conversational AI will continue to evolve rapidly as capabilities improve and automation levels increase. As a result both client and customer adoption will grow. But today the organisations seeing the best results understand AI alone is not enough.

The future of digital engagement is not just AI or human, it’s the intelligent combination of both.

Because ultimately:

  • Customers want speed
  • But they also want understanding
  • They want convenience
  • But they also want confidence

That’s why hybrid engagement isn’t a temporary solution. It’s the future reality of successful AI deployment.

AI Is Only as Good as Your Data

Part 3: AI Is Only As Good As Your Data

The Hidden Problem Nobody Wants to Talk About

Everyone is talking about AI but very few are talking about data.

Yet data quality is arguably the single biggest factor determining whether conversational AI succeeds or fails. AI can only learn from the information it is given. If that information is inaccurate, fragmented, duplicated, or incomplete, the results will be the same.

This is where many organisations run into trouble. They invest in advanced AI technology while overlooking the condition of the data sitting underneath it. At Saascoms we have been working with AI for over 5 years, well versed in its strengths and weaknesses.

The result of bad data?

  • Poor responses.
  • Inconsistent journeys.
  • Compliance concerns.
  • Frustrated customers.

And ultimately, AI that never reaches its potential for improving customer service or sales journeys.

Why AI Is So Data Hungry

Conversational AI relies on data to understand intent, context, sentiment, and customer behaviour.

It requires:

  • Clean customer records.
  • Historical interaction data.
  • Structured workflows.
  • Defined customer outcomes.

Without these elements, AI struggles to make accurate decisions. The issue is that most organisations do not have a single source of data. Instead, data often exists across multiple disconnected systems with different formats, standards, and levels of accuracy.

The Reality of Organisational Data

In many businesses, customer data has evolved over years and sometimes decades.

Different systems have been added or bolted on. Processes have changed. Teams have created workarounds. Over time, this creates environments where:

  • Customer records are duplicated.
  • Contact information is outdated.
  • Historical conversations are missing.
  • Data fields are inconsistent.
  • Information is trapped in silos.
  • Processes are compromised.

Humans can often work around these issues but AI cannot. Artificial Intelligence interprets data literally. If the information is poor, incomplete, or contradictory, the customer experience quickly deteriorates.

The Difference Between Open and Closed Data

One of the biggest debates in AI today is the use of open versus closed data models. Open-source or publicly trained AI models are attractive because they are accessible and scalable.

But they also introduce risk. In regulated industries especially, organisations need:

  • Accuracy
  • Compliance
  • Control
  • Transparency

This is why closed, domain-specific data sets are becoming increasingly important. AI trained on real-world customer interactions within a controlled environment is far more reliable than generic internet-trained models. That is, stripping information from the web, social media and fake news.

At Saascoms we are firm supporters of closed data sets and work with our clients to ensure they are the same. Our Omnireach digital chat platform has analysed over 2m conversations, providing a wealth of closed data customer information.

Also context matters. A collections customer conversation is very different from a retail support query. The language, intent, vulnerability indicators, and regulatory considerations are unique.

Compliance

The Compliance and Security Challenge

Data quality is not just an operational issue , it is also a compliance issue.

Poorly governed data creates risks around:

  • GDPR.
  • Customer privacy.
  • Sensitive information exposure.
  • Incorrect customer treatment.

AI amplifies these risks if controls are not in place. This is especially important when dealing with personal information, vulnerability, or financial circumstances.

Organisations need confidence that:

  • The data is accurate.
  • Sensitive content is protected.
  • AI responses remain compliant.
  • Customer interactions are auditable.

Saascoms are both ISO27001 and Cyber Essential Plus. And with the EU AI Act around the corner, are ahead of the game when it comes to compliance.

Why Data Cleaning Is No Longer Optional

For years, data cleansing was often treated as an IT housekeeping exercise. AI changes that completely.

Now, data quality directly impacts:

  • Customer experience
  • Automation success
  • Operational efficiency
  • Regulatory risk
  • Commercial performance

In short bad data doesn’t just create inconvenience anymore. It breaks the very foundation of your AI strategy.

What Organisations Should Focus On

Before scaling conversational AI, organisations should focus on:

1. Data Governance
Clear ownership, standards, and accountability.

2. Data Cleansing
Removing duplicates, correcting errors, and validating customer records.

3. Structured Customer Journeys
Defining intents, workflows, and outcomes.

4. Controlled AI Training
Using closed, compliant, domain-specific data wherever possible.

5. Continuous Monitoring
AI models require ongoing review and refinement as customer behaviour evolves.

Conclusion: AI Will Expose Every Weakness in Your Data

AI does not hide operational problems, it exposes them. Nowhere is that more obvious than data quality. The organisations succeeding with conversational AI are not necessarily the ones with the biggest budgets or the newest platforms.

They are the ones with the strongest foundations.

Because ultimately AI is only as good as the data behind it. And until organisations take data quality seriously, most AI strategies will continue to underdeliver.

EU AI Act 2026

EU AI Act 2026: What Every Business Needs to Do Now

EU AI Act 2026: What Every Business Needs to Do Now

The countdown to the EU AI Act 2026 enforcement deadline has officially begun. Businesses using AI can no longer afford to treat compliance as a future problem, it’s here now.

The regulation introduces strict obligations for organisations developing, deploying, or integrating AI systems within the EU. High-risk AI requirements become mandatory from 2 August 2026, with penalties reaching up to €35 million or 7% of global annual turnover for serious violations.

Why the EU AI Act Matters

The EU AI Act is the world’s first comprehensive AI regulation framework. Much like GDPR reshaped global privacy standards, this legislation is expected to redefine how organisations govern artificial intelligence worldwide.

The Act applies not only to EU-based companies, but also to organisations outside the EU whose AI systems impact EU users. That means many UK and international businesses are already within scope.

The Four AI Risk Categories

The regulation follows a risk-based structure:

  • Prohibited AI – banned entirely (e.g. manipulative AI, social scoring, certain biometric practices).
  • High-Risk AI – heavily regulated systems such as recruitment tools, credit scoring, healthcare AI, and critical infrastructure.
  • Limited-Risk AI – systems requiring transparency obligations, such as chatbots and AI-generated content.
  • Minimal-Risk AI – systems with few direct obligations but still subject to broader governance expectations.

Key 2026 Compliance Requirements

For high-risk AI systems, organisations may need to implement:

  • Risk management frameworks
  • Human oversight controls
  • Technical documentation
  • AI monitoring and incident reporting
  • Data governance procedures
  • Accuracy, robustness, and cybersecurity safeguards
  • Staff AI literacy training programmes

Many organisations are surprised to discover that tools already embedded in HR, marketing, customer service, or operations may fall within scope.

Common Mistake: “We Don’t Use AI”

One of the biggest compliance risks is assuming your organisation does not use AI. In reality, AI is increasingly embedded into:

  • Recruitment software
  • CRM platforms
  • Customer support tools
  • Productivity suites
  • Generative AI assistants
  • Analytics platforms

The first step toward compliance is conducting a full AI inventory across the business.

What Businesses Should Do Now

Organisations preparing for the EU AI Act should focus on five immediate priorities:

  • Identify all AI systems currently in use.
  • Classify systems according to AI Act risk levels.
  • Review governance, documentation, and oversight processes.
  • Train employees on responsible AI use.
  • Build a compliance roadmap before 2026 deadlines arrive.

The organisations that act early will be in a stronger position to reduce regulatory risk, improve trust, and demonstrate responsible AI governance to customers and stakeholders.

At Saascoms we ensure our AI is compliant with the act, giving peace of mind to our clients around the globe.

Contact Centre Software for Global Brands

Saascoms – Contact Centre Software for Global Brands

Introduction

Since 2004 Saascoms has been an innovator in communications software platforms. From the early days this was focussed on connectivity and call centre costs, using mobile networks to route calls and save money. In addition Saascoms offered tracking solutions for vehicles and assets.

However, Saascoms has built its name by providing contact centre software for global brands.

The Customer Service Challenge

It used to be simple, visit a store or pick up the phone to resolve your issue. But over the last 20 years that has all changed:

  • Less high street retailers and more online shopping
  • Multi-channel sales and marketing strategies
  • Data security and compliance pressures
  • Cost to run customer services have increased

Customer Service can make or break a business, it’s the difference between a 5* and a 1* review. The question is how to deliver 5* service without a premium on price? Can utopia be achieved for both customer and seller?

 

Annoyed at customer service

No Simple Answer

Over the last 20 years, customer service solutions have varied in type and in results. For many organisations it has been a steep learning curve to develop the best solution for their customers and clients. There is no one size fits all.

  • Live Agents – expensive and inefficient. Many companies have tried both on and offshore to varying results. Language and cultural barriers often offset cost savings through customer dissatisfaction.
  • Online – has led to the ‘computer says no’ catchphrase and leads to customer frustration when a live agent cannot be spoken with.
  • Self Serve – taking a refund first approach, many retailers have experienced spiralling costs which have been unsustainable.
  • In Store – with retail costs spiralling, branches closed and networks reduced, the overall customer experience is fragmented and a postcode lottery.

Saascoms Solutions

By listening to our clients and analysing the future of customer experience, Saascoms began to develop the tools and solutions for modern customer services. These solutions became contact centre software for global brands, namely Omnireach and Mailmaster.

  • Omnireach – the ultimate digital platform which manages Webchat, Text, Email, Social Media and WhatsApp into one agent screen (if Omnireach doesn’t resolve the query using advanced AI). Speeds up customer resolution and seamlessly moves from digital to physical in one interaction.
  • Mailmaster – a pioneer of Digital Letters, delivering increased right person contact and reduced postage costs. Secure digital and interactive communications speed up resolutions and reduce costs.

Saascoms Global Impact

Saascoms customer services and contact centre software are integrated into the CX of over 700 global brands. Often integrated as part of a wider system, Saascoms are largely silent partners to both end client and customer.

Saascoms AI has analysed over 2m conversations across credit and collections, retail, utilities and finance, providing real data insights that can be used to refine digital interaction and increase AI resolution.

Global brands trust Saascoms solutions, a decision reinforced by multiple Credit & Technology Awards, ISO27001 and Cyber Essentials Plus accreditations.

The Future

Saascoms continues to develop its core solutions of Omnireach and Mailmaster, but has also developed Resolution, a self serve debt management solution for the credit and collections industry.

Our success lies in listening, then developing solutions that solve problems or lead to improved results.

 

AI doesn't work

Part 2: Why Your AI Can Talk, But Why Your AI Doesn’t Work

Introduction: The Conversation Trap

Conversational AI has come a long way. Today’s platforms can:

  • Understand intent
  • Respond in natural language
  • Operate across multiple digital channels
  • Handle thousands and even millions of interactions

On the surface, it feels like the future has arrived. But scratch beneath the surface, and a common problem emerges. AI can talk, but often AI doesn’t work.

  • It can answer questions.
  • It can guide a conversation.
  • It can even sound convincingly human.

But when it comes to delivering a real outcome? That’s where things break down.

The Expectation: End-to-End Automation

The promise of conversational AI is simple. A customer starts a conversation, AI understands intent, AI resolves the issue and the journey is complete.

  • No hand-offs.
  • No delays.
  • No friction.

In theory, AI becomes the end-to-end service layer. But in reality AI is often a dead end. And in practice, most AI journeys look very different.

The AI:

  • Identifies the customer’s intent
  • Provides some information
  • Attempts to guide the next step

And then it stops. Because your AI can’t:

  • Process a payment
  • Update an account
  • Change a repayment plan
  • Execute a transaction

So the customer is forced to switch channels, log into another system, or speak to an agent. In essence, your AI doesn’t work.

Why This Happens: The Integration Gap

The issue isn’t the AI itself. It’s what sits behind it. Most organisations are still operating with fragmented, legacy systems. AI sits on top of this environment as a front-end layer. But without integration, it has no real power.

  • AI can communicate, but it can’t act.
  • AI Is not the engine, It’s the interface.

AI is often treated as the solution. In reality, AI is just the interface. The real capability comes from the systems it connects to. Without integration, AI becomes limited to FAQs, basic queries, and signposting.

The Customer Experience Breakdown

From the customer’s perspective, this creates frustration. They expect seamless interaction and instant resolution. Instead, they experience repetition, delays, and multiple touchpoints.

Why This Matters More Than Ever.

Digital engagement is no longer about communication, it’s about resolution. If AI cannot deliver outcomes, it creates friction instead of value.

The Risk: Scaling a Broken Experience

Scaling AI without integration amplifies problems. Instead of better outcomes, you get more incomplete journeys and customer frustration.

What Good Looks Like: Actionable AI

For AI to deliver value, it must enable execution.

  • API-driven integration
  • Connected journeys
  • Embedded transactions
  • Real-time decisioning

Conclusion: AI Without Action Is Just Noise

Conversational AI is powerful, but conversation alone is not enough. If AI cannot execute, complete, and resolve, it creates friction. The future of AI is not better conversations, it’s connected systems delivering outcomes.

At Saascoms we fully appreciate and understand the difference between AI expectation and reality, working with clients to set ongoing goals and development. This ensures that out of the box our Omnireach digital chat platform is delivering on our clients objectives.

UK household debt

UK Household Debt: Q4 2025

Introduction

The House of Commons Library has just released its latest report and economic indicators on UK household debt. Running until the end of 2025, the economic indicators go back to 2007 and are therefore a useful trend analysis tool.

That said, recent global shocks are likely to reverberate and impact on UK trends in 2026, which are too volatile to predict at this point.

Overall Trends

According to the report, UK household debt peaked in Q3 2008 at 155.8% of income. Since then household debt has been on a downward trend, now standing at 117.5%.

The Standard Variable Rate (SVR), which is the baseline for mortgages, peaked in 2023/24 at 8% and has now been falling to its current rate of 6.6%.

Individual insolvencies have hovered around 30,000 a quarter in England and Wales for the last four years. There are peaks and troughs between 25,000 and 33,000 but no long-term trends in either direction.

Influencing Factors

The report purely gives the numbers and leaves it to the politicians to speculate on why trends have occurred! But at Saascoms we are not politicians, so let’s give it a go…

  • Financial Crash 2008 – led to a contraction in lending, especially in the sub-prime market. Banks and Building Societies have taken a more prudent approach to lending, reducing the opportunity for households to increase debt.
  • Low Interest Rates – from 2009 to 2022 interest rates have been at an all-time low. This has enabled households with mortgages and loans to pay back quicker (reducing debt), reduced lending rates (meaning more manageable debt) and the opportunity for business to lend and invest at low rates (creating jobs).
  • Consumer Confidence – although the financial crash led to low interest rates, it also shattered consumer confidence, which has never really recovered. And just when there were green shoots, Covid and then Ukraine destroyed them. As a result, households have been wary to take on debt due to economic uncertainty.
  • Regulation – the FCA targeted Pay Day Lenders (Wonga), high street retailers (Brighthouse and Perfect Home) and financial products it deemed to have excessive interest rates. This has restricted the ability of households with a low propensity to pay back debt to access loans or credit.

What’s Next?

With government, corporations and households all responsible for managing UK household debt, at Saascoms we believe it’s about having the right tools. Such as Resolution, our self-serve debt management portal which launched last year.

For customers this means managing their debt on a platform which enables payments and setting up payment plans. Also contacting the DCA, conducting an Income and Expenditure review or being signposted to a support organisation.

For clients this means monitoring live payments and producing detailed reports. Plus the option for one to one or one to many communications – all from a single platform.

new financial year

New Financial Year – new beginnings or old habits?

Introduction

For many organisations, their new financial year coincides with the tax year. This means a whole new set of budgets, targets and growth aspirations. In a global economy experiencing political, social and military shocks – plus learning to adapt to the surge in AI, business goals may be difficult to navigate.

At Saascoms we can’t address every business challenge, but our software does support customer facing businesses in every sector.

Saascoms Solutions

At Saascoms we develop award-winning software solutions utilised by contact and call centres around the globe. We power over 700 brands.

Mailmaster

Launched in 2017, Mailmaster is a pioneer of digital letters. Our clients send secure letters using text or email for a fraction of the price of post. Mailmaster offers complete visibility of when the letter is sent and when it is opened. You can make the letter interactive, manage payments and appointments – all with a seamless set up and no long-term contract commitment.

Omnireach

The ultimate ‘digital chat platform,’ Omnireach launched in 2019. Over the years it has grown to incorporate AI and has learned from the analysis of over 200 million conversations. Omnireach manages customer communication across Email, SMS, Social Media and WebChat, resolving up to 90% of customer queries and identifying vulnerable customers. If Omnireach can’t solve the customer query it presents all the conversations to a live agent on one screen for speedy escalation.

Resolution

Our latest software platform, Resolution is a self-serve debt management platform that empowers those in problem debt. Set up a one-off payment or payment plan, adjust repayments, undertake an income and expenditure review or contact the lender using the platform. For lenders and Debt Collection Agencies, Resolution offers immediate reporting, marketing and management information.

The Saascoms Difference

Saascoms has been established for over 20 years, based in Staffordshire but operating globally. Our software is developed in the UK, we are Cyber Essentials Plus and fully understand data security. We don’t tie our clients up with long-term contracts or minimum spending charges, we offer flexibility and build relationships on a partnership approach.

Ask For A Demo

Start the new financial year with a demonstration of Mailmaster, Omnireach or Resolution. we can set up a video call to suit you.