Teams | Collaboration | Customer Service | Project Management

A conversation with Freshworks Chief Product Officer Srini Raghavan.

Projects are super important to a service-based business. But the actual intake process can be complicated, usually due to a lack of organization and formal processes. How do you decide what to take on? How do you make sure you don’t overpromise and underdeliver? The answer is a Project Intake Process, and if you aren’t using PSA (Professional Services Automation) software like OneDesk to handle it, you’re probably working harder than you need to.

Fragmented and siloed systems, manual processes, outdated workflows—today’s manufacturers have no time for this.

An analysis of IT requests shows the rise of a “ghost shift” as flexible jobs have extended the workday. IT support isn’t keeping up.

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.

When call volume spikes, your team slows down. It exhausts your strongest call center agents and increases the abandonment rates. Also, it pushes your top performers toward the exit. I've seen managers react by loading even more calls into the queue. Well, that only makes the damage worse. See, handling high call volumes without burning out your team starts with knowing what causes the spike. Today, you'll learn exactly that and the strategies that keep your team stable when demand surges.

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.