Why connected HR is the foundation for a connected workforce

The conversation about AI in HR often starts with the technology. 

• Which tools should we use? 
• What tasks can we automate? 
• How quickly can we introduce AI into the employee lifecycle?

At the recent HR & L&D Tech Fest, Emily Connell, Senior Director of Services and PMO at ELMO Software, and Craig Aunger, Managing Director of Pinpoint HRM, made the case for starting somewhere more fundamental: the quality of the platform and data underneath it.

Their central message was simple: AI is not a shortcut around the fundamentals of HR technology. If your systems are disconnected, your data is inconsistent, your processes are unclear and accountability is missing, AI will not solve those problems. It will make the underlying weaknesses harder to ignore.

Move from point solutions to connected platforms

You may begin looking at a connected platform for practical reasons, such as:

• less re-keying,
• fewer integrations and 
• lower technology overhead 

But the case for a connected platform is increasingly strategic.

A connected platform can give HR, payroll and workforce teams access to shared information, clearer ownership of data and more consistent workflows. It can reduce reconciliation points, improve visibility for leaders and create a more consistent experience for employees, managers and HR teams.

Connected does not simply mean having fewer systems. It means agreeing where core employee data is owned, how it moves between HR, payroll and workforce processes, who can change it and how exceptions are checked.

The goal is to make it easier for people to understand how work gets done, where information comes from and who is accountable for the next step.

How do you build a business case for a connected HR platform?

One of the most common weaknesses in platform business case is stopping at the first answer: reducing administration or cutting integration costs. Those benefits may be real, but they’re rarely enough to secure sustained executive sponsorship for a major transformation.

For Emily and Craig, the better approach is to keep asking “why?” until the platform initiative connects to broader business priorities.

For example, an organisation focused on customer experience may need to improve the employee experience that supports it. A business focused on growth may need better workforce insights and a more scalable HR operating model.

Across successful platform initiatives, three outcomes appear consistently:

• Analytics in the flow of work, so leaders and managers can make better people decisions with timely information.
• A modern employee experience, supported by contemporary and consistent management practices.
• Higher-value HR capability, allowing HR teams to spend less time on routine administration and more time supporting the business strategically.

These outcomes give the implementation a stronger foundation than a technology-only case. They also create a clearer line between the platform, the employee experience and the organisation’s wider commercial goals.

Why does a connected HR platform matter for AI?

HR platforms have an important role to play in an organisation’s AI journey because they contain context that generic tools don;t necessarily have: organisational hierarchies, skills, performance information, access rules and permissions.

That context helps AI deliver information to the right people, in the right context and with appropriate guardrails. It can support the progression from using AI to assist work, to enhancing and automating work, and eventually to creating new ways of working.

But the quality of the output depends on the quality of the foundation. Inconsistent data, unclear definitions and poorly governed access can limit the usefulness, and potentially the safety, of AI-enabled experiences.

What does data readiness mean for an HR platform implementation?

Data was one of the strongest themes in the discussion. Bringing together payroll, workforce management, recruitment, learning and other legacy systems will inevitably expose gaps, inconsistencies and competing definitions.

The answer is not to wait until every data issue has been resolved. That approach can create decision paralysis and delay progress indefinitely. Instead, establish a clean core data foundation and improve it over time.

Before implementation, clarify:

• Where the data comes from.
• Who owns it and who is accountable for its quality.
• Whether definitions are consistent across departments.
• Who should have access to the data and under what permissions.
• Whether the processes behind the data are clear enough to trust the output.

Data readiness is therefore not a one-off migration task. It needs to continue through design, testing, go-live and the post-go-live improvement cycle.

Who do you need on an HR platform implementation team?Plan for the work implementation requires

An HR platform implementation depends as much on internal organisational readiness as on the technology. Emily and Craig identified that readiness as a major determinant of success.

A strategic implementation needs people with protected time in five roles:

• Project owners
• Subject matter experts
• Data owners
• Decision-makers
• Change leads

Not all of these roles need to be full-time, but their time allocation should be realistic. Workshops, data preparation, testing and decision-making cannot be completed reliably on spare capacity.

Executive sponsorship is equally important. Leaders need to understand why the change matters, remove blockers, support timely decisions and visibly reinforce the importance of the programme. Strong governance does not prevent every problem, but it gives the organisation a way to deal with problems when they arise.

How much should you budget for change management?

Change management is often one of the first areas to be reduced when implementation budgets come under pressure. Craig recommended using approximately 20% of the total implementation budget as a starting point for change management, communication, training and adoption activities. According to Craig, what can often happen is it can be absorbed as Business as Usual (BAU). 

The point is not that every project will require the same investment. It is that adoption needs to be planned and funded as a core workstream from day one.

Resistance is rarely only about the new software. It’s often about people letting go of familiar processes, routines and sources of confidence. Successful change support makes space for that emotional friction, gives people time to understand what is changing and prepares them to work differently.

What happens after an HR platform goes live?

A platform implementation shouldn’t be treated as a project that ends on go-live day. Emily and Craig recommended planning for a deliberate transition into business as usual and treating the first one to two years after go-live as an active project phase.

That period provides time to complete unfinished items, support adoption, respond to new releases and establish a continuous improvement rhythm. Without that focus, organisations risk making uncoordinated changes, missing opportunities to improve the platform and failing to embed new ways of working.

The most successful organisations treat the platform as an evolving business capability, not a one-time technology installation.

What to answer before you choose an HR platform

Before you choose a platform, you should be able to answer three questions:

1. Why are we doing this, and which business decisions or outcomes will it support?
2. What budget, timeline and internal capacity will it take to do this properly?
3. How will we govern the programme, make decisions and protect it when challenges arise?

The organisations best placed to benefit from AI are not necessarily those moving fastest to buy the latest tool. They are the ones investing in the connected platform, trusted data, clear governance and workforce readiness that allow AI to create useful and responsible outcomes.