The question is no longer whether AI belongs in pensions. The question is how we use it responsibly.

Last week, the Society of Pension Professionals (SPP) published research that made a significant impact on me.

Not because the findings were surprising.

Rather, because they clearly articulated something many of us working in pensions and technology have believed for a long time.

More than 80% of pension professionals now believe AI could play a role in improving member engagement and retirement decision-making.

62% see AI as part of the solution.

19% go further, identifying it as a core component of the solution.

The industry consensus is becoming increasingly clear.

The question is no longer whether AI belongs in pensions.

The focus is now on deploying AI responsibly, effectively and at scale to genuinely serve members rather than simply impressing conference audiences.

For many years, the pensions industry has wrestled with the same challenge: translating complex pension information into something members can understand and act upon.

The problem hasn't fundamentally changed.

What is finally changing is our ability to address it.

The Engagement Gap in Plain English

This is the uncomfortable reality we continue to see across the industry.

Many pension scheme members:

Don't know what their pension is worth.
Don't know how much they're contributing.
Don't know when they can retire.
Don't know where to find the information they need.
Don't engage until a major life event forces them to.

And when they do need information, they often spend ten minutes on hold asking a question that could have been answered in seconds if the information were easily accessible.

That's not a member problem.

It's a systems problem.

The SPP research highlights this challenge clearly.

When pension professionals were asked what single change would most improve retirement decision-making, the answers were telling:

37% said simplified choices and communications.
24% said earlier and more frequent engagement.
20% said more personalised guidance.

Together, those three priorities form a blueprint for better member engagement:

Simpler. Earlier. More personal.

Historically, delivering all three at scale required significant investment in communications teams, digital services, contact centres and member support functions.

Good outcomes were often expensive outcomes.

AI changes that equation.

What Good Looks Like - Right Now

The pensions industry often talks about AI in abstract terms.

Transformation.

Innovation.

Future possibilities.

Meanwhile, members are still waiting for answers to basic questions.

So let's be specific.

As outlined in the previous articles in this MemberBridge series, we have explored a pensions industry approaching a significant turning point.

Article 1examined the hidden operational cost of repetitive member queries and the pressure they place on administration teams.

Article 2explored why governed AI is essential in pensions and why schemes cannot afford inaccurate or uncontrolled responses.

Article 3considered how Pension Dashboards may fundamentally change member expectations and increase demand for information and support.

Article 4looked at the scale of that challenge, with more than 70 million pension records now connected and millions of members gaining greater visibility of their pensions.

This article answers the next logical question:

What does good member engagement actually look like today?

In our view, any meaningful solution must:

Provide personalised answers.
Use governed and approved data sources.
Escalate complex queries appropriately.
Maintain full auditability.
Support emerging regulatory frameworks such as targeted support.

These principles have shaped the development of MemberBridge.

What MemberBridge Does

MemberBridge is an AI-powered member engagement platform built specifically for pensions.

It integrates a smart, branded assistant directly into your existing member portal, giving every member access to instant, personalised support 24 hours a day, 7 days a week.

Not generic FAQ responses.

Not chatbot-style deflection.

Actual answers based on the member's own information.

Their pension value.

Their contribution rate.

Their retirement date.

Their scheme information.

Consider a simple example:

Member:

"How much am I contributing?"

MemberBridge:

"You currently contribute5%of pensionable salary. Your employer contributes3%, giving a combined monthly contribution of£312based on your latest payroll submission."

That isn't a generic chatbot answer.

That's a personalised response using scheme-approved information.

And this matters.

Many pension administration teams report that a significant proportion of member contacts consist of routine informational queries.

Questions that require valuable staff time despite often having straightforward answers.

Questions such as:

What is my pension value?
How much am I contributing?
Where is my annual statement?
When can I retire?
How do I update my beneficiaries?

MemberBridge resolves those questions instantly.

That allows pension specialists to focus on the conversations where human expertise genuinely adds value.

That's not AI replacing people.

That's AI making people more effective.

The Regulatory Opportunity: FCA Targeted Support

One of the most important developments in pensions today isn't AI.

It's regulation.

Specifically, the FCA's new targeted support framework (PS25/22).

For years, one of the biggest barriers to meaningful personalisation has been uncertainty around the boundary between guidance and advice.

Schemes have understandably been cautious.

Nobody wants to accidentally provide regulated advice.

The FCA's targeted support framework creates a new category that allows firms to provide more personalised, cohort-based support without crossing into regulated advice territory.

This is significant.

It creates a compliant pathway for engaging with members as individuals rather than treating everyone the same.

MemberBridge was designed with this future in mind.

Every interaction is:

Governed.
Auditable.
Configurable.
Escalatable.
Built around approved content.

This combination of genuine personalisation and governance aligns closely with the themes emerging from both the SPP research and wider industry discussions.

Because if AI is going to be member-facing, it must be governed.

There is no responsible alternative.

The Human Point

This is important because many AI discussions overlook a fundamental truth.

AI does not solve engagement by itself.

It never will.

AsSPP Chair Priti Rupareliarecently observed:

"Improving retirement outcomes will require a combination of clearer communication, earlier engagement and smarter support for members."

Clearer.

Earlier.

Smarter.

Those are fundamentally human objectives.

Technology is simply the mechanism that helps deliver them.

What makes MemberBridge interesting is not that it attempts to replace human expertise.

It doesn't.

It enables pension professionals to spend more time where they create the greatest value.

When administration teams are not spending time answering routine balance queries, they can focus on:

Retirement planning discussions.
Complex member cases.
Vulnerable customers.
Data issues.
Escalated support requests.

That's not AI replacing people.

That's AI making people more effective.

And in an industry where member outcomes matter, that distinction is critically important.

Because disengaged members risk making poor retirement decisions.

And poor retirement decisions ultimately lead to poorer retirement outcomes.

Where We See This Going

The SPP's 2026 AI research found that virtually all organisations in the pensions sector now use AI in some capacity.

However, much of that usage remains focused on operational efficiency and internal administration.

The next phase will be member-facing.

And it may arrive faster than many expect.

The building blocks already exist:

The regulatory framework is emerging.
The technology is mature enough to deploy responsibly.
Industry sentiment is increasingly supportive.
Pension Dashboards are increasing visibility across the sector.

The dashboards challenge is not finding pension data.

The dashboards challenge is helping members understand what that data means.

That's where the next phase of pension engagement begins.

Schemes and providers that act now, with strong governance and a clear member focus, may gain a significant advantage.

Not because AI is a silver bullet.

But because engaged members make better decisions.

And better decisions lead to better retirement outcomes.

That has always been the objective.

The SPP Confirms a Long-Held Belief: AI Is Essential for Member Engagement