An AI-driven automation assistant

To understand this lets look at where we’ve been, where we are and where we’re going with AI.

In the diagram below, taken from a recent presentation given by Nvidia CEO Jensen Huang. Jensen describes the phases of AI advancement and where he see's AI going next.

• Perception AI began the AI journey where we saw advancements in speech recognition and machine learning.
• Generative AI has been pioneering in using AI for content creation, summarization of content and easily asking AI to find answers to questions using tools like Chat-GPT.
• Agentic AI (Where we are now).This phase we will start to see AI assistants being used by business and users to carry out tasks, that 'think' and 'execute', rather than predefined software that runs static subroutines. Users will see the greatest efficiency and productivity gains. 
• Physical AI where robotics meets AI. Autonomous vehicles (robots on wheels), humanoid robots and bots that perform physical tasks and chores. Some think of this as an age of abundance, but this will need to be carefully planned due to the potential disruption it will bring.  

Agentic AI will provide business with the greatest efficiencies and productivity gains, where we are less reliant on humans to perform tedious mundane repetitive tasks.

Coupled with automation, AI Agents such as ICRM will become your own personal assistant, freeing you up to focus on more important work such as decision making and growing your business.

Processes that you once performed manually, that potentially had many layers are no longer carried out by humans. Humans are notified when required, mainly for approval.

AI Agents like ICRM stitch together processes that run in the background across all systems and data sources, processes that previously required multiple staff members to perform over a period of time, can now be managed by intelligent autonomous assistants.

See below for the Microsoft version of Agentic AI. ICRM has been built on this same technology.