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Read the report16. September 2025
How AI-ready is your HR team?

The AI revolution in HR is no longer hype, or a question of “if”. AI is here. The question is: how can your HR teams apply it to augment workforce planning and shape the future of work?
Many HR teams already understand the potential of AI:
68% of HR leaders expect investment in AI to increase in the next 12 months.
64% are already assessing its impact on future skills and talent requirements.
However, the perception that huge financial investment is required remains a barrier to successful adoption.
Let’s set the record straight right from the outset. You don’t need millions to make meaningful AI progress; you simply need readiness.
Future-ready HR leaders have a unique opportunity to set the pace — one decision, one experiment, one team at a time.
Rethink mis-held assumptions and embrace new strategies
While large enterprises might have bigger budgets, SMEs and scaling businesses are well positioned to move faster, test smarter, and adapt more boldly to AI workplace transformation.
Unlocking the full potential of AI for HR teams does not have to mean buying expensive and complex tech. Real success lies in building simple, actionable frameworks that not only implement AI at a task-based level but integrate it natively into workflows and processes.
But where to start?
How AI-ready is your business?
This is where your AI readiness matters. Rushing in without a plan will not work. AI is only useful when it’s built on clarity.
Jumping into AI without clarity won’t accelerate progress. In fact it will only drive greater confusion. AI amplifies what’s already there. If your processes are inefficient, data inconsistent, and workforce planning unclear, AI will multiply the noise.
Clarity is your foundation. Build out from there.
The key to successful AI adoption without huge budgets is to focus on where it will deliver the biggest impact to your workforce, both now and in the future.
You simply cannot solve every challenge at once, whether it’s learning and development, recruitment, performance management, engagement, or workforce planning. Where do your biggest challenges and opportunities lie?
To help build a clear and consistent approach, let’s explore how to assess your organisation’s AI readiness.
The 4-steps to AI readiness
1. Evaluate your HR data estate
According to the Harvard Business Review, whilst 93% of organisations recognise the importance of good quality data in successful AI adoption, only 37% have the right data foundation for their AI ambitions.
AI is only as good as the data that feeds it. HR systems must be built on clean, secure, and integrated data. Especially when it comes to workforce planning — when using AI for attrition forecasting or skills gap analysis, clean data is non-negotiable. Bad data will only ever deliver bad predictions. On average, businesses lost almost £50,000 last year due to preventable workforce planning missteps.
What to assess:
Security & privacy: Are employee records stored and managed in compliance with all relevant jurisdictional regulations and legislation?
Integration: Can your HR tools connect data across functions like payroll and compensation, talent management, workforce planning, engagement, performance and development?
Data quality: Are your records accurate, complete, and regularly updated?
2. Assess AI readiness across processes and stakeholders
It is vital that AI ambitions are aligned with business strategy and priorities. Understanding where it adds the most value across workflows and processes helps prioritise use cases that support strategic outcomes, not just admin shortcuts.
The questions to ask:
Which HR processes are manual, repetitive, or error-prone? This is the low-hanging fruit, ripe for AI transformation.
Where could AI enhance decision-making? Look at key areas such as workforce planning, engagement, or performance and development. Get this step right and AI can fundamentally change how work gets done, who does it, and how HR teams prepare for future needs.
Are your stakeholders ready? Do they understand AI’s role and feel confident in using it? If stakeholders don’t feel equipped to work alongside AI, even the best plans and tech investments could fall flat.
What training and support is required? Only 36% of employees currently say their employer provides adequate AI training. 39% say they know very little about how to use AI at work, and 44% want more help.
Let’s explore what this could look like in practice:
Take for example a team planning and executing a new workforce strategy. With manual processes they’ll be struggling with outdated metrics across siloed spreadsheets. The result is planning that takes days, or even weeks to complete, and reactive decision making.
If the same team intentionally implements AI, they can work from connected insights delivered through automated workflows to achieve a single version of the truth. And they could interrogate this data at pace with the help of an AI assistant. Not only is this more efficient and cost effective, but decision making goes beyond proactive to become best-in-class predictive talent management.
3. Look beyond standalone AI features
Whilst task-based AI is useful, its transformation capability is limited. True ROI comes from integrating AI directly into the platforms that power your day-to-day work, such as reporting or performance management. If AI is bolted on, it’s more likely to break or be ignored.
What to look for:
Look for platforms that embed proactive data-driven insights
Look for tools that help query and analyse data for better people decisioning
Seek out platforms that offer native AI capabilities, especially for core processes like performance management, workforce planning, and recruitment. These platforms better support evolution, continuously embedding AI where it matters most.
Look for platforms that simplify workflows and make intelligence a seamless part of how HR teams operate.
4. Design for adaptability as AI evolves
AI is changing fast. Today’s tools won’t be the same in 12 months. Whilst quick adaptation is vital, too often HR teams are restricted by tools that cannot grow with them or evolve to meet emerging needs.
When building AI readiness, ensure you put in place a setup that’s flexible, not fragile. One that scales with your business, offers rich customisation, and an ecosystem that can support the entirety of the employee lifecycle.
How to design for adaptability:
Ensure your platform supports an ecosystem approach, making it straightforward to connect external systems and extend functionality.
Seek an API-first architecture for smarter integration, workflows and connected decision making.
Design AI capabilities to support decisions without replacing human judgment. It’s not about replacing HR teams, but generating insights, assisting workflows, and enabling better decisions, with humans remaining integral to interpretation and action
Smart readiness for the future of work
You don’t need a big budget to start using AI in your HR teams. You need a clear roadmap and a readiness-first mindset.
Personio’s latest Workforce Pulse report highlights that momentum is growing. AI integration is redefining roles and workflows and demanding new skills and frameworks for both leaders and teams.
Now’s the time to move from interest to integration and lead your HR teams into an AI-enabled future.
Personio's intelligent HR platform includes embedded AI features like an AI Assistant, smart automations, and workflow builder, designed to help implement AI thoughtfully and intentionally into your HR teams, augment their day-to-day processes, and enhance decision making. Book a demo to learn more.