Teams | Collaboration | Customer Service | Project Management

A well-designed onboarding process helps new hires become productive quickly and encourages them to stay with the company. The transition from candidate to team member is easier when you provide employees with structure, consistency, and an easy-to-use digital system that supports their new role. Studies show that a structured onboarding process can improve new-hire retention by 82% and increase productivity by more than 70%.

The early warning signals hidden in productivity data that most HR teams overlook.

Freshworks Chief People Officer Johanna Jackman on bringing HR onto Freshservice to streamline operations, improve employee experience, and unlock higher-impact work.

AI in HR is moving fast but adoption isn’t keeping up. Many organizations have already deployed HR chatbots, yet employees still rely on emails, tickets, or direct HR support. The problem isn’t access to AI. It’s trust, usability, and relevance. Employees won’t use a chatbot if answers feel inaccurate, the experience feels clunky, or it doesn’t actually help them complete tasks. At the same time, HR teams struggle with low engagement despite investing in automation.

Most HR automation initiatives fail not because of AI, but because of poor implementation. Organizations deploy chatbots expecting efficiency, but instead encounter common HR automation mistakes such as low adoption, inaccurate responses, and increased workload. These challenges are often seen during HR chatbot implementation, where tools are launched without the right foundation. If you think the problem is the technology, it’s not. It’s the approach.

Rushed AI deployments are starting to do the opposite of what they promise. Instead of improving service, they are eroding trust. According to Forrester, a significant share of brands risk damaging customer relationships through poorly designed self-service AI experiences. At the same time, McKinsey & Company highlights a different but related issue: most organizations are still stuck in pilot mode, unable to scale AI into real business value.

HR has never struggled to create value — it has struggled to prove it in measurable terms. From onboarding and payroll support to policy guidance and employee queries, HR teams handle a massive volume of work that keeps organizations running. But when it comes to quantifying impact, most of that effort is treated as operational overhead rather than business contribution. This is where the conversation around HR automation ROI starts to break down.

HR shared services were designed to centralize support and improve efficiency, but many teams today are still overwhelmed with repetitive employee requests, from leave queries and payroll questions to policy clarifications and onboarding support. Despite having shared service models in place, HR teams continue to face delays, rising ticket volumes, and increasing pressure to meet SLA expectations. The core issue isn’t centralization, it’s the reliance on manual case handling.