Antti Karjalainen, co-founder at Sema4.ai. Read Antti Karjalainen's full executive profile here.
With the recent rise of generative AI, enterprise executives are under pressure to demonstrate AI innovation to their stakeholders. While ChatGPT and various copilots have been a start, the next real leap forward in AI is coming around the corner with the introduction of AI agents. These autonomous software systems can reason, make decisions and take action to pursue goals, going beyond just providing insights or generating content.
The core problem with chat, copilot, search and AI helpers is that their value is buried and they don’t fundamentally change how we do knowledge work. This is where agents are different.Instead of making people more efficient, agents can execute work for them, allowing people to focus on higher-value thinking. To truly harness the power of AI agents, it's crucial to focus on tightly defined use cases with well-specified work products.
Another way to think about agent use cases is to look at outside-in and inside-out perspectives. From an outside-in perspective, customer support, customer service and sales outreach are potential areas for agent deployment. It searches through customer accounts to see recent impacts, saving time on monitoring and creating update reports. By estimating potential savings on noncompliance issues and time saved on compliance reporting, you can demonstrate the agent's value.Onboarding is an important process for any organization, as it sets the tone for an employee's experience and can impact retention.
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