Author Archives: Jason Kemp

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  • Contact information is outdated.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.

Inside Edge

Inside Edge – Q1 2026 Round Up

Dear Clients, Partners and Suppliers,

Q1 provides an early indicator of how the year is shaping up and I’m pleased to say 2026 has started strongly for Saascoms.

We have achieved a 22% increase in performance compared to Q1 2025, reflecting continued growth across both new and existing clients.

Our growth continues to be driven by long-term client relationships and delivering real value. We don’t rely on long-term contracts, our clients choose to work with us because our solutions perform.

This quarter’s performance has been supported by:

  • Expansion within existing clients
  • New client onboarding
  • Increased adoption of our platforms
  • Continued demand for digital-first engagement

From an industry perspective, we’ve also seen mobile network operators (MNOs) increase wholesale SMS pricing from 1st April 2026. Six UK operators have implemented price rises, with only one reducing rates, resulting in an overall net cost increase of 6%.

We fully understand the commercial pressures businesses are facing in the current UK environment, where cost bases continue to rise.

Thankfully, through our continued growth and economies of scale, Saascoms has absorbed this increase, shielding our clients from the April price changes. This is made possible as we underwrite SMS volume commitments directly with our suppliers, illustrating just another example of our commitment to true partnership!

Technology & Innovation

Our platforms continue to evolve, with multi-channel engagement and self-service capabilities helping clients deliver better customer outcomes at lower cost.

In addition, we are currently developing enhanced reporting functionality within Omnireach, designed to give operational teams greater visibility, insight and control over performance and customer interactions.

We are also seeing increased adoption of RCS (Rich Communication Services), providing a cost-effective and credible alternative to channels such as WhatsApp, while enhancing brand trust and customer engagement.

Looking Ahead

Q2 is already shaping up well, with new client on-boarding, platform developments and continued industry engagement.

As always, our focus remains on delivering reliable, effective solutions and acting as a true partner to our clients.

Thank you for your continued trust and support. We look forward to building on this momentum throughout 2026.

Paul Nield

conversational artificial intelligence

Part 1: Conversational Artificial Intelligence is Ready – Your Business Probably Isn’t

Introduction: The Illusion of Progress

From webchat and SMS to WhatsApp and social messaging, organisations are investing heavily in digital engagement tools that promise faster responses, lower costs, and better customer experiences through conversational artificial intelligence.

Conversational AI is everywhere.

And to be clear, the technology delivers. Omnireach by Saascoms is our globally successful digital chat platform.

AI can now:

  • Understand customer intent
  • Automate conversations in real time
  • Operate 24/7 across multiple channels
  • Handle millions of interactions at scale

In fact, modern platforms are already resolving a significant proportion of customer queries without human intervention, improving efficiency and response times across digital channels.

So why are so many AI projects underperforming?

  • Why do pilots fail to scale?
  • Why does ROI remain unclear?
  • Why do customers still end up speaking to agents?

Because there’s a fundamental problem nobody is talking about. AI isn’t failing. The environment it’s being deployed into is.

The AI Illusion: When Capability Meets Reality

There is a growing disconnect in the market.

On one side:

  • AI technology is advancing rapidly
  • Vendors are showcasing impressive capabilities
  • Businesses are under pressure to adopt

On the other:

  • Internal systems are fragmented
  • Data is inconsistent
  • Processes are undefined

This creates what we call “The AI Illusion.” It looks like transformation is happening. But in reality, organisations are layering AI on top of operational gaps.

The result?

AI works in controlled demos, but struggles in real-world deployment.

The Expectation vs The Reality

Expectation:

AI will deliver seamless, end-to-end customer journeys. A customer engages via webchat → AI understands intent → resolves the issue → completes the transaction → job done.

Reality:

AI starts the conversation, but can’t finish it. Because:

  • Systems aren’t connected
  • Data isn’t accessible
  • Processes aren’t defined

So the journey breaks.

The customer is:

  • Redirected to another channel
  • Asked to repeat information
  • Passed to an agent

And suddenly, the “AI-powered experience” feels anything but seamless.

angry customer on phone

Why Customers Don’t Care About Your AI

Customers don’t care if you’re using AI.

They care about:

  • Getting answers quickly
  • Resolving their issue
  • Not repeating themselves
  • Being treated like an individual

Digital engagement has already shifted expectations dramatically. The majority of customers now prefer non-voice communication and expect flexibility in how and when they interact with organisations .

But here’s the key point, customers don’t want conversations, they want outcomes.

If AI cannot deliver that outcome — regardless of how intelligent it sounds — it fails.

The Real Problem: Foundations, Not Technology

Most organisations approach conversational artificial intelligence as a technology upgrade. In reality, it’s an operational transformation. AI success depends on three critical foundations:

1. Connected Systems

If your CRM, payment systems, and communication platforms don’t integrate, AI cannot act — only respond.

2. Clean, Structured Data

AI relies on accurate, consistent data. Without it, intent detection, personalisation, and decision-making all break down.

3. Defined Customer Journeys

AI needs clear pathways — including what happens when a customer doesn’t follow the “expected” route.

Without these foundations, AI becomes:

  • Reactive instead of proactive
  • Informational instead of transactional
  • Fragmented instead of seamless

Why So Many AI Projects Stall

This is where most organisations get stuck. They:

  • Launch a chatbot
  • Automate a handful of FAQs
  • See initial engagement

But then progress slows. Because to go further, to enable real automation, they need to:

  • Integrate systems
  • Clean data
  • Redesign processes

And that’s significantly harder than deploying AI itself.

The Hidden Risk: Scaling the Wrong Thing

There’s another danger in the AI illusion. Scaling too early.

If the underlying foundations aren’t in place, scaling AI doesn’t improve outcomes, it amplifies problems. You don’t just get more automation, you get:

  • More broken journeys
  • More frustrated customers
  • More hand-offs to agents

At scale.

What Organisations Should Be Asking Instead

Instead of asking:

👉 “How quickly can we implement AI?”

The better question is:

👉 “Are we ready for AI to actually work?”

Because successful AI isn’t defined by:

  • How advanced the technology is
  • How many channels it covers

It’s defined by one thing Can it deliver a complete customer outcome?

A More Realistic Approach

The organisations seeing real success with conversational artificial intelligence are not rushing to full automation.

They are:

  • Starting with specific use cases
  • Building around clean, controlled data
  • Integrating systems gradually
  • Designing journeys that reflect real customer behaviour

And most importantly they recognise that AI is not a silver bullet. It’s a layer, one that depends entirely on what sits beneath it.

Conclusion: AI Isn’t the Shortcut, It’s the Multiplier

Conversational AI is one of the most powerful tools available in digital engagement today.

  • But it doesn’t fix broken systems.
  • It doesn’t clean bad data.
  • It doesn’t define your processes.

It amplifies whatever already exists. So if your foundations are strong, AI will accelerate your success. If they’re not? It will expose every gap. The future of digital engagement isn’t “AI-first.” It’s foundation-first, AI-enabled.

Coming Next in the Series

👉 Part 2: Why Your AI Can Talk… But Can’t Actually Do Anything
(Exploring the integration problem behind failed AI automation)

Alternatives to Royal Mail

Alternatives to Royal Mail – Mailmaster

Introduction

From April 7th, the Royal Mail is raising the price of its main two letter services to an eye-watering amount. If you want to post a First Class Letter it will cost you £1.80 and for a Second Class Letter 91p! That’s a crazy amount for a birthday card, but if you are a business looking to send thousands of letters, what are the alternatives to Royal Mail?

Traditional Alternatives

The simple answer is that for small letters there is no direct competition to Royal Mail. For large letters or small parcels Evri, DPD, Parcel2Go, DHL, Whistl all offer solutions and the market is competitive – with a number of providers. For direct marketing, Citipost Mail and Mail Sorting can reduce the overall cost of postage, but isn’t suitable for every type of organisation. So if there is no traditional alternative to Royal Mail, what is there?

Digital Letters

Better for your pocket and for the environment – the solution for many organisations is a ‘Digital Letter’. Sent either via text or email, the digital letter can be both a static copy or an interactive document. In most cases a digital letter is a better solution than a physical letter for a number of reasons:

  • Cost – significantly cheaper to send than a physical letter as there is no printing or postal delivery charges. Email or text charges are a fraction of Royal Mail.
  • Environmental – no printing and no physical delivery, a massive carbon saving which supports ESG goals for organisations.
  • Accuracy – when a physical letter is posted the control ends. Did it get delivered? Did it get opened? When was it opened? Was it opened by the right person? With a digital letter tracking and data feedback is immediate.
  • Scheduling – gone are the days when you could rely on Royal Mail delivering consistently. But with a digital letter you can schedule delivery, precisely.
  • Security – anyone can open a letter. Confidential information can easily fall into the wrong hands. With a digital letter you can set security questions and ID&V so only the correct recipient can access the contents.

Saascoms Solution – Mailmaster

Launched in 2017, Mailmaster is a pioneer of digital letters and one of the genuine alternatives to Royal Mail. Offering all the benefits of digital letters with the knowledge the platform has been developed in the UK by Saascoms, multi-award winning business.

Mailmaster is used by brands globally, from retail to banking, credit and collections to utilities. Brought to you by a company which is both Cyber Essentials Plus and ISO27001, you can be sure of data security.

Mailmaster can be integrated in under a week into your CRM using our API, with a self-serve interface enabling clients to manage their own campaigns and reporting. Also, there’s no long-term contract and Mailmaster is built on a ‘pay as you use’ basis.

Choose whether to deliver letters by text or email, set up the security required to open it and then you are ready to go. With Mailmaster you can make your letters interactive:

  • Finance – check a balance or make a payment.
  • Utility – confirm, cancel or schedule an appointment.
  • Marketing – complete a survey

text messaging

Alternatives to Royal Mail

The traditional letter is as old as time, but in the 21st century we have a replacement. The digital letter moves the game on with cost savings, environmental benefits, data feedback and flexibility.

Mailmaster from Saascoms has been leading the market for nearly a decade, powering digital letter delivery around the globe. So why not contact the team for demo? Please don’t send a letter, an email or DM will be fine!

Contact Saascoms
debt awareness week

Debt Awareness Week – and the psychology of debt conversations

Debt Awareness Week

March 16-22 marks national Debt Awareness Week, an event initiated by StepChange, the national charity helping people become free from debt. StepChange helps people become debt free, repay their problem debts and identify benefits and allowances they may be able to claim.

With 50% of people having experienced problem debt in their lifetimes, Debt Awareness Week is designed to remove the stigma from problem debt and have open conversations.

And it’s the psychology of debt conversations we wish to explore…

most popular credit products

Debtors Struggle to Talk

For many people, discussing debt can trigger feelings including:

  • Shame

  • Anxiety

  • Loss of control

  • Fear of judgement

  • Stress related to personal circumstances

This emotional layer often shapes how customers communicate. Instead of directly explaining their situation, customers frequently use indirect language. Not only is discussing debt stigmatised, but discussing with a third party is even more difficult. Rather than lay out their situation, those in debt may use phrases like:

  • “I’m struggling this month.”

  • “Something unexpected has come up.”

  • “Can I delay this payment?”

  • “I need to speak to someone about my account.”

These statements often act as signals of financial vulnerability or distress. Organisations that recognise these signals early can respond with empathy, flexibility and appropriate support.

What Customers Say Versus What Customers Mean

In financial collections conversations, customers often express their situation indirectly. Here are examples of common messages and the psychological meaning behind them.

“I’ll pay next week.”

Often indicates:

  • Cash flow timing issues

  • Waiting for salary or benefits

  • Short-term financial pressure

The customer is signalling intent to pay, but needs flexibility or a recommendation.

“I can’t afford the full amount.”

This usually reflects:

  • Financial hardship

  • Competing financial priorities

  • Need for a payment plan

Customers making this statement are often seeking a manageable solution rather than avoiding payment. Once again, the collecting agent should recommend solutions.

“Why am I receiving messages about this?”

This message may indicate:

  • Confusion about the account

  • Frustration with communication frequency

  • Concern that an error has occurred

Clarity and transparency are critical in these situations. Chasing customers but not offering solutions can often create tension and animosity between the customer and collecting agency.

“I’m really stressed about this.”

This is a clear indicator that:

  • The issue is affecting the customer emotionally

  • The situation may involve vulnerability

  • The conversation requires sensitive handling

Organisations that respond with empathy can dramatically improve the customer experience. Most customers want to resolve their financial situation, but need guidance and support to do so. Debt Awareness Week is attempting to change this.

Two way messaging

Why Digital Channels Reveal More Honest Conversations

Interestingly, many customers feel more comfortable discussing financial difficulties through digital channels than over the phone. Messaging channels such as SMS, webchat, social media and email allow customers to:

  • Respond at their own pace

  • Avoid direct confrontation

  • Think about their responses

  • Explain situations more openly

Research shows that three quarters of customers prefer non-voice communication channels for interacting with organisations. This shift towards digital engagement provides a valuable opportunity for organisations to better understand customer intent.

Digital conversations generate structured data that can be analysed for:

  • Language patterns

  • Sentiment changes

  • Intent signals

  • Vulnerability indicators

This is where conversational AI becomes particularly powerful.

How AI Detects Psychological Signals in Conversations

Modern conversational AI systems can analyse customer language in real time to detect both intent and emotional signals. Saascoms has analysed millions of conversations and our sophisticated AI models learn to recognise patterns in customer communication. Our award winning software Omnireach is a digital chat platform used by global brands.

For example, Omnireach AI can identify:

  • Payment intent

  • Financial hardship signals

  • Stress-related language

  • Requests for assistance

  • Account confusion or disputes

This enables Omnireach AI to respond appropriately or escalate conversations when necessary. For example:

  • Customers indicating hardship can be prioritised for support.

  • Customers requesting payment flexibility can be offered structured plans.

  • Customers displaying distress can be routed to trained agents.

Rather than replacing human judgement, AI acts as an early warning system for customer needs.

debt consultation

Why Understanding Intent Improves Resolution

When organisations understand the true intent behind customer messages, they can respond more effectively. For example:

A message such as “I can’t pay right now.”

Could lead to very different responses. A traditional response might focus on immediate payment demands. A psychologically informed response would explore:

  • Payment flexibility

  • Temporary arrangements

  • Support options

  • Signposting to financial guidance

This approach leads to faster and more sustainable resolutions.

The Future of Customer Conversations in Credit & Collections

As digital engagement continues to grow, the psychology of customer conversations will become even more important. The future of collections will rely on three key elements:

1. Data-driven insight

Understanding how customers communicate and what signals indicate intent.

2. AI-assisted interpretation

Using conversational AI to detect emotional and behavioural patterns in real time.

3. Human empathy

Ensuring complex or vulnerable situations are handled with care and expertise. Organisations that combine these elements will be able to deliver better customer outcomes while improving operational efficiency.

Final Thought: Listening Is the Most Powerful Tool

Every debt conversation contains more information than the words alone.

Behind each message may be:

  • Financial pressure

  • Emotional stress

  • Confusion about an account

  • Or simply a customer seeking a solution.

The organisations that succeed in modern credit and collections are those that listen carefully not just to what customers say, but to what they mean.

By combining psychology, data insight and intelligent automation, organisations can create conversations that lead to something far more valuable than a transaction.

They lead to Resolution, the self serve debt management platform from Saascoms.