Building AI workforce capability in 2026: Why expertise still leads

AI in the workplace has transformed faster in the last 12 months than many expected. What was once experimental is now part of everyday workflows – and accelerating. For compliance, quality and risk professionals, the question is no longer whether AI will reshape the way they work. It already has.

But that acceleration is creating two challenges leaders are feeling right now. Finding talent that's genuinely AI literate is increasingly difficult – demand is outpacing supply, and competition for people who can work confidently alongside AI is only growing. And for organizations looking to upskill their existing teams, there's a real productivity cost to navigate: the transition period carries risk that regulated industries can't easily absorb.

In these environments, efficiency gains only matter if they come with oversight, accuracy and accountability. That's where the real pressure lies – and it's why the technology you choose matters as much as the training you invest in. As our recent Trends report highlights, the most intuitive AI systems reduce the learning curve significantly, guiding users, embedding oversight into workflows and helping teams build confidence without a lengthy onboarding period. Developing AI capability across your teams in 2026 isn't optional. But with the right tools, it doesn't have to mean losing control while you get there.

How AI frees compliance professionals to focus on high-value work

Compliance, quality and risk professionals spend large amounts of time on repetitive tasks – gathering data, compiling reports, chasing actions and completing forms. These jobs are essential but consume capacity that could be spent on applying deep expertise and more strategic work. 

This is where AI delivers real, measurable impact – especially agentic AI, which doesn't sit alongside workflows but is embedded within them, handling the heavy lifting by: 

• Auto-generating investigations, reports and summaries, reducing manual documentation work
• Identifying emerging risks and tracking progress 
• Surfacing intelligent insights and recommendations based on patterns 
• Assigning corrective actions and monitoring completion across workflows and teams

When AI takes on the time-consuming workload, employees can focus on the work only humans can do: interpreting regulatory nuance, applying judgement to complex decisions, resolving exceptions and making the final calls that directly affect safety, compliance and regulatory outcomes.

Forward‑thinking companies aren’t just choosing powerful AI – they’re choosing technology designed to work seamlessly with their systems and people. This is what effective AI adoption looks like in practice: not replacing professionals but elevating them so their expertise drives better outcomes.

Building AI workforce capability: what it actually requires

There's an important caveat to all the benefits AI promises: it only strengthens control when people know how to use it effectively. Your teams don't just need to understand how to use AI tools – they need to know when to trust the outputs, how to validate what they're seeing and where human oversight is non-negotiable. These skills don't appear automatically – they have to be developed.

This capability gap is now one of the biggest risks organizations face. Demand for AI fluency has grown nearly sevenfold in just two years, faster than any other skill category. The gap is widening, and the firms that close it first will have a genuine advantage. That means investing in training focused on judgement rather than just tools, choosing intuitive AI systems that guide users and embed oversight directly into workflows, and building human approval into every critical decision point by design.

In high-compliance environments, this matters more than ever. Approving a quality specification, authorizing a procedure change or signing off a corrective action are not decisions to hand over to an algorithm. AI can prepare the groundwork, surface the right information and flag issues but the decision stays with the person. That's not a limitation of AI; it's exactly how responsible, controlled adoption is supposed to work.

People and AI in partnership: what controlled, confident adoption looks like

Staying in control means equipping people with the confidence and capability to direct AI, question outputs and intervene where necessary. Without these skills, organizations risk deploying powerful systems they can't properly oversee.

The businesses that thrive in 2026 won't necessarily be those with the most sophisticated AI. They'll be the ones where people and technology work in genuine partnership; where expertise is amplified, not sidelined, and where control stays firmly where it belongs

Do that, and AI becomes a strategic advantage – not just a new tool, but a partner that enhances control, strengthens compliance and unlocks the full potential of your workforce.