Insight

And in an industry already filled with technical complexity, confusing automation, robotics and digital transformation with artificial intelligence risks creating unrealistic expectations, and potentially poor decisions.

The Industry Has Started Using “AI” as a Catch-All Term

Recently, one pensions trustee commented:

“I can’t wait for AI to come in so members can log in and track their case like they do with Amazon.”

But that’s not AI.

That’s workflow automation and better system design.

Another concern raised was:

“I don’t want members calling administrators and speaking to robots.”

Again, the reality is more nuanced than that.

Many modern chatbots now incorporate AI capabilities, but they still sit within a much broader category of digital tools that organisations have been using for years.

The issue is that almost any form of digital improvement is now being labelled as AI, when in reality, several very different technologies are being grouped together under one headline.

So, What’s the Difference?

Before talking about what AI could do for pensions, it’s important to define what already exists today, and where AI genuinely starts to add value.

In simple terms:

• Automation follows rules
• Integration connects systems
• RPA mimics human actions
• Chatbots handle interactions
• AI interprets, analyses and generates insight

Automation

Automation focuses on reducing manual tasks, improving efficiency and reducing risk through predefined processes, such as.

In pensions, this could include:

• Automated calculations
• Workflow triggers
• Data validation checks
• Bulk processing tasks
• Straight-through processing

The objective is consistency, and accuracy with speed as a by product.

Automation follows rules.

And importantly, many of these capabilities already exist today without AI.

For example, pension calculations can already be highly automated using existing administration technology. AI is not necessarily the tool performing the calculation.

Where AI can play a role is in accelerating the development, testing and verification of those calculation processes. Tools such as coding assistants and AI-enabled development platforms are already helping software teams build and refine these systems faster than before.

Similarly, workflows themselves may still be rule-based, but AI can enhance how work is routed and prioritised. An AI-enabled process could potentially identify handwritten correspondence, analyse tone of voice, or direct potentially vulnerable or dissatisfied member communications to specialist teams automatically.

Systems Integration

Systems integration is simply making different platforms and technologies communicate effectively with each other.

For example:

• Administration platforms integrated with payroll systems
• CRM tools feeding member data into workflows
• Document systems syncing with administration records

This is essential digital infrastructure, but again, it is not AI.

Robotics and Robotic Process Automation (RPA)

RPA uses software “robots” to mimic repetitive human actions.

Examples include:

• Copying data between systems
• Processing standard forms
• Updating records
• Performing repetitive administration tasks

These tools can significantly improve operational efficiency, but they still operate using structured rules and instructions.

They are task-driven rather than truly intelligent.

Chatbots

Chatbots are designed to handle member interactions and queries.

A member asking:

• “What’s my pension balance?”
• “How do I update my address?”
• “When will I receive my statement?”

…may receive an automated response through a chatbot interface.

Modern chatbots increasingly combine scripted workflows with AI-driven language understanding, blurring the distinction between automation and intelligence..

So, What Is AI in the Pensions Context?

AI becomes relevant when systems begin interpreting, learning, analysing or generating outputs in ways that go beyond fixed instructions.

Today, AI is already being used in practical ways across industries, including:

• Summarising meeting minutes
• Reviewing large volumes of documentation
• Extracting information from unstructured data
• Assisting with report generation
• Identifying patterns and anomalies
• Supporting research and analysis

But AI is also increasingly influencing how pension systems themselves are designed and developed.

Many software developers now use AI-assisted tools to help write code, test processes, build workflows and accelerate system configuration. In this sense, AI may not always be visible to end users, but it is already shaping the underlying technology that powers many operational improvements.

These capabilities are fundamentally different from traditional automation because the system is not simply following a rigid workflow. It is interpreting information and generating outputs dynamically.

What Could AI Eventually Mean for Pensions?

This is where the conversation becomes more interesting.

True AI in pensions could potentially support:

Operational Improvements:

• Smarter workflow routing
• Data cleansing and reconciliation

Member Experience:

• Personalised communication
• Faster, more relevant responses

Strategic Value:

• Risk identification
• Decision support
•  Regulatory insight

But importantly, none of this removes the need for governance, expertise or human oversight.

In many cases, it may increase the need for strong governance frameworks around:

• Data protection,
• Ethical AI usage,
• Procurement controls,
• Model transparency,
• Operational oversight.

And while AI may reduce some of the more repetitive and manual aspects of pensions administration, that does not necessarily mean fewer administrators. Instead, it may allow operational teams to focus more on member outcomes, exception handling and higher-value work.

Why Clarity Matters

The pensions industry has always evolved through technology.

But every technological shift creates noise, hype and misunderstanding before genuine value becomes clear.

Right now, the conversation around AI risks becoming so broad that it loses meaning altogether.

Not every digital improvement is AI.

Not every chatbot is fully intelligent.

Not every automated process is transformational.

And that’s okay.

Automation, integration and robotics all have enormous value in improving pensions operations. They solve real operational problems and deliver measurable efficiencies.

But they are different tools solving different problems.

Cutting Through the Noise

The pensions industry doesn’t need more hype around AI.

It needs clarity.

Because once organisations properly understand the distinction between:

• Automation,
• Integration,
• Robotics,
• Chatbots,
• And true AI,

They can then start having far more productive conversations about where genuine value exists - and where it doesn’t.

The future of AI in pensions may indeed be significant.

But first, the industry needs to get back to basics and understand what AI means.