Five shifts defining the people function in the age of AI

HR functions in financial services have been shaped by decades of regulatory pressure, operational scale and risk management. This has driven the need for Centres of Excellence (CoEs) to codify policy to ensure compliance, Shared Services to industrialise transactions for efficiency, and HR Business Partners to become critical translators between complex people frameworks and the front line.

While this model has delivered control, it is now under strain. Financial services leaders face acute skills shortages, persistent margin pressure, rising conduct expectations, and accelerating technological disruption. They need faster insight into workforce risk, more personalised employee experiences, and leaders who actively drive performance rather than administer processes.

The good news is that AI presents a genuine inflection point for HR and how they have traditionally been organised and delivered value. Not simply because AI can automate transactional HR activity – that’s now expected – but because it enables a fundamentally different people operating model: one that is embedded in day‑to‑day work, insight‑led, and continuously adaptive.

Yet many financial institutions are still approaching AI tactically – piloting chatbots, automating workflows, or deploying isolated analytics. While useful, these moves often reinforce today’s siloed HR model rather than transform it.

The key question is therefore not whether HR should adopt AI, but how HR must structurally and culturally change to use AI responsibly while improving performance, resilience, employee experience, and trust. AI doesn’t just change what HR does – it changes what HR is for. In financial services, the opportunity is to move HR from a policy factory to a ‘people performance engine’ embedded in the business, governed by strong ethical guardrails, and focused on enabling better decisions at every level, from leaders to employees, ensuring they all perform at their best.

The principles driving the new HR operating model

At its core, the shift to AI‑enabled HR in financial services represents a fundamental change:

• From separation to integration – HR moves from being a distinct support function to being embedded in everyday work through digital platforms and AI co-pilots
• From periodic intervention to continuous enablement – there is a shift from static policies and annual cycles to real‑time, personalised experiences
• From siloed roles to agile, product-lead teams – HR teams that have traditionally operated in distinct domains move to flatter, more cross-functional teams organised around products
• From intuition to insight – decision-making shifts from retrospective and reactive to predictive and proactive, with AI surfacing risks and opportunities early, while humans provide judgement and accountability.

Five strategic shifts redefining HR

1. From shared services to digital people platforms

In an AI‑enabled HR model, high‑volume activity is largely automated through digital service platforms. Employees and managers receive instant, 24/7 support for routine needs, while responsible AI sees humans remain firmly in the loop for complex, sensitive, or judgment‑heavy cases. For financial services firms, this improves efficiency and auditability.

2. From Centres of Excellence to product‑led HR squads

Traditional HR CoEs evolve into agile, cross‑functional product teams aligned to employee journeys such as onboarding, career progression, and wellbeing. Governance is embedded into the product rather than bolted on afterwards – enabling faster iteration without compromising regulatory compliance.  

3. From HR Business Partners to AI‑augmented workforce designers

HR Business Partners become smaller, more senior organisation design, workforce and talent advisory pods, supported by real‑time analytics and AI co-pilots. Instead of reacting to issues, they anticipate them by identifying skills gaps early, identifying how to most effectively design human-agent teams, and understanding attrition hotspots early.

4. From fixed roles to flow‑to‑work expertise

AI‑enabled skills intelligence allows HR expertise to flow dynamically to where it is needed most, for example during restructures, regulatory change, or transformation programmes. This increases organisational agility while ensuring scarce specialist capability is focused on the highest‑value work, a principle we frequently apply in large‑scale FS transformations.

5. From process owners to stewards of trust

Perhaps HR’s most critical future role in financial services is stewardship: ensuring AI is fair, explainable, and accountable. Strong governance, bias testing, transparency, and human appeal routes are non‑negotiable, and HR teams must take the lead in ensuring organisations have not just the technology but the culture, leadership and systems in place to use it for good.

But what does this mean for employee experience?

There will be questions about what these changes mean for employees across the sector, including concerns around de-humanisation of what is inherently a people-centric function. But we don’t see these operating model changes as eroding the EX – in fact, we expect them to enhance and improve the experience for many.

For employees in a large, regulated financial services organisation, an AI‑enabled HR model feels less like interacting with a function – and more like having a personal service woven into everyday work. Routine HR tasks and questions are handled instantly through intuitive AI assistants, removing friction and delay.

Learning and development happens in the flow of work, with personalised nudges, recommendations, and coaching delivered at the moment of need rather than through formal, disconnected programmes.

Performance management becomes continuous and supportive, focused on timely feedback and growth rather than retrospective appraisal. Crucially, this is not a ‘Big Brother’ experience as AI is designed to empower, not surveil.

Employees also fully understand how their data is used, can question or appeal automated outcomes, and always have access to a human when empathy or judgment is required. The result is an experience that is both high‑tech and high‑trust – one where bureaucracy fades into the background, people feel more supported and fairly treated, and the humanity of work is amplified.

The bottom line

AI gives financial services HR the chance to shed decades of accumulated complexity and refocus performance, capability, and trust. But this requires more than digitising today’s processes. It demands a redesigned operating model, new skills, and a clear ethical stance. Firms that act now will fundamentally strengthen their ability to compete, adapt, and grow in the AI age.