HRIS Optimisation: Are You Maximising What You Already Have?

Sometimes the answer is absolutely yes.

But in my experience, there’s often value in stopping first and asking whether you’re fully using what you already have.

Before investing in something new, it is worth understanding what's working, what’s getting in the way, and whether you have actually maximised the value of the system already in place.

Start with Diagnosis, Not Solutions

Before jumping into solutions, it is worth stepping back and asking:

What is actually causing the pain?

Not every issue is a technology issue.

Sometimes what looks like a system problem is actually a process issue, a data issue, unclear ownership, or simply the result of how the system has evolved over time.

Before looking at functionality or replacement, I usually start by looking at four things.

1. Time

What feels unnecessarily slow or manual?

Are people spending too much time building reports, chasing approvals, or entering the same information multiple times?

Manual effort is often one of the clearest indicators that something is not working as efficiently as it could.

2. Business Impact

What is actually affecting the business right now?

Where is poor visibility slowing decision-making down?

What is the real consequence if this does not improve?

Not every frustration has the same level of impact. Understanding what matters most helps prioritise effort.

3. Frustration

What are people quietly complaining about?

What feels clunky, gets avoided, or creates repeated frustration?

The things people complain about are often useful clues about where to start.

4. Workarounds

Where are people working around the system?

Are approvals happening through email or Teams instead of workflows?

Are people manually tracking information in spreadsheets because they do not fully trust the data?

These shadow processes are usually telling you something.

Often, they signal that something feels too hard, too clunky, or simply does not fit how work actually happens.

While workarounds sometimes solve short-term problems, over time they tend to create inconsistency, duplicate effort, and multiple versions of the truth.

Once you start identifying the friction points, it becomes much easier to work out:

Is this a system issue, a process issue, a data issue, or something else entirely?

The Functionality You Are Already Paying For

One of the first places I usually look once pain points are clear is functionality that already exists in the system, but simply is not being used.

And this is incredibly common.

Common reasons functionality goes unused include:

• It was never turned on during implementation

• People do not know it exists

• Vendors have released updates and new capability is now available

• It landed in the too-hard basket because nobody had time to configure it properly

• The business evolved, but the system setup did not evolve with it

Common examples include:

• Workflows and approvals

• Notifications and reminders

• Dashboards and reporting tools

• Employee self-service

• Onboarding workflows

• Document management

This isn’t about turning everything on simply because it exists.

It is about asking:

What functionality would actually solve a current friction point?

Sometimes the quickest wins are already sitting inside the system you already have.

Process Improvements Do Not Always Need New Tech

Not every improvement requires more technology.

Quite often, some of the biggest gains come from stepping back and asking:

Can we make what we already have work better?

 

Can we simplify?

Sometimes processes have become more complicated than they need to be.

Too many approval steps, duplicate data entry, or clunky workflows all create unnecessary friction.

Even relatively small simplifications can make a meaningful difference.

Can we clarify ownership?

Sometimes the issue is not technology at all — it is ownership.

Who approves what?

Who owns the process?

What is expected of managers?

Systems tend to work much better when responsibilities are clear.

 

Can we standardise?

Consistency matters.

If teams use different job titles, approval pathways, or ways of recording information, systems quickly become harder to manage and reporting becomes less reliable.

Do we actually need this?

Sometimes optimisation is about challenging whether something is needed at all.

Before building a new report or capturing additional information, it is worth asking:

What decision will this support?

How often will it realistically be used?

Because sometimes what sounds like a straightforward request actually takes a reasonable amount of effort to build and maintain.

Sometimes the answer is yes. Sometimes it’s no, or not right now.

Optimisation is not just about adding more.

It is also about being deliberate about what is genuinely worth building.

 

Data Quality Is the Foundation

Almost every organisation wants better reporting from its HR systems.

But reporting is only useful if people trust the information sitting underneath it.

That trust usually starts with the basics.

 

Clean, consistent data

Something as simple as inconsistent job titles can create problems surprisingly quickly.

If the same role is called three different things across the business, reporting becomes harder, filtering becomes messy, and clear visibility drops.

The same applies to reporting lines, departments, cost centres and other reporting fields.

If information is incomplete or entered inconsistently, reporting becomes harder to trust.

Trusted reporting comes from trusted data.

And if AI or a new system is on the cards, this matters even more.

Because moving messy data into a new system rarely fixes the problem — it usually just moves it.

 

Governance and Ownership Matter

Organisations often put a lot of effort into implementation or optimisation, then expect the system to keep working well on its own.

Unfortunately, systems do not really work like that.

Businesses evolve. People move roles. Processes change. Reporting needs shift.

Over time, small workarounds start creeping back in.

That is why ownership matters.

And by ownership, I do not just mean technical ownership.

I mean:

• Who owns ongoing optimisation?

• Who decides what gets fixed or prioritised?

• Who maintains data standards?

• Who notices when workflows no longer make sense?

• Who keeps an eye on whether the system is still working for the business?

Data is a good example of why this matters.

Without clear ownership, data quality tends to drift over time. Job titles become inconsistent, reporting standards slip, and trust in reporting starts to disappear.

That is often when organisations end up back in spreadsheets or manually checking information outside the system.

Systems do not stay optimised by accident.

Even a simple periodic review can help identify what has changed, what is frustrating people, and what no longer fits how the business operates.

Optimise, Automate, or Replace?

Once you have looked at functionality, process, data and ownership, the next question becomes:

What kind of response is actually needed?

Not every problem needs the same answer.

Most issues tend to fall into one of three buckets.

 

Optimise

This is where the system can already do what the business needs, but it is not being fully used.

There may be underused functionality. Workflows may no longer fit how the business operates. Data may need cleaning up. The processes may need tightening.

In these situations, there is often more value in improving what already exists than jumping straight into something new.

 

Automate

Automation can be useful where there is repetitive admin, manual effort, routine reporting, or low-value work that could be reduced without creating more complexity.

Replace

Sometimes replacement is the right answer.

The system may genuinely no longer fit. There may be real capability gaps. Workarounds may be everywhere. The business may have outgrown the system.

At some point, trying to force a system to do something it was never really designed to do becomes harder than changing it.

The key is making that decision deliberately.

Not because the system feels frustrating today, but because there is a genuine business case for change.

Practical Considerations Before Making Changes

Before making changes, whether that is optimisation, automation, or replacement, it is worth thinking through a few practical realities first.

• Timing: You may be tied into a vendor contract, approaching renewal, or managing competing priorities. Sometimes the timing simply is not right.

• Effort: Even optimisation takes work. Some improvements are quick wins, while others take more time to clean up, test, and embed.

• Business readiness: Consider what else is happening in the business. Even good improvements can struggle if there is already significant change underway.

• Cost versus value: Not every improvement needs to happen immediately. Ask: What value are we actually trying to create?

• Appetite for change: Even when improvements make sense on paper, people may already be stretched or fatigued by change. Sometimes the right answer is not no — it is not right now.

A Practical 90-Day Starting Point

You do not need to fix everything at once.

Optimisation does not have to become a massive project. Often, the biggest gains come from taking a more deliberate look at what is already there.

First 30 days: Diagnose

Take stock. Where are the pain points? Where are people working around the system? What feels clunky or frustrating? What problem are you actually trying to solve?

30 to 60 days: Tidy up

Start with practical improvements. Simplify workflows, clean up data, review permissions, and clarify ownership. This is often where relatively small changes start making a surprisingly big difference.

60 to 90 days: Decide

Decide what genuinely needs action. Does this need further optimisation? Would automation reduce repetitive effort? Or is there actually a genuine case for replacement?

By this point, you are making decisions based on evidence, not frustration — which usually leads to better outcomes.

Final Thought

Sometimes getting more from your HRIS starts with understanding what is already available and what is getting in the way.

And when you are deep in your own systems every day, it can be hard to step back and see the real friction points, or what is actually worth changing.

Sometimes a fresh set of eyes can help cut through that.

If your business is questioning whether your current HR system is still fit for purpose, or whether there is more value to unlock from what you already have, get in touch to talk through your current setup.

Before investing in something new, make sure you have maximised what you already have.