Agentic AI
Agentic AI refers to AI systems that act proactively, self-directedly, and goal-orientedly, they plan multiple steps ahead, learn from feedback, and act.
Detailed explanation
Agentic AI marks a paradigm shift in how we think about AI. Most AI is reactive: it answers a question. Agentic AI is proactive: it has a goal, devises a plan, executes steps, evaluates the outcome, and adjusts the plan. It acts as an agent with its own initiative.
The characteristics of agentic AI are: (1) Goal-orientation, (2) Planning, (3) Tool use, (4) Learning, and (5) Autonomy.
AI-agent is the perfect example of agentic AI in sales. He has a goal (book X meetings), develops a strategy, executes the strategy, evaluates results, and continuously optimizes.
Synonyms
Examples
Agentic sales AI in action: AI-agent receives the goal '20 meetings with fintech scale-ups'. He independently searches 200 matching companies, selects relevant contacts, writes unique messages, monitors results, A/B tests variants, and reports weekly on progress, all without manual intervention.
Agentic AI for account management: the AI continuously monitors all accounts for risk signals and proactively generates a retention action plan when a risk signal appears.
When to use this?
Agentic AI is the most advanced form of AI deployment in sales, the right tool when you want not just to automate tasks, but to have a full-fledged digital colleague who proactively contributes to your commercial goals.
Your Company OS approach
Your Company OS applies agentic AI in the platform: an AI colleague plans and carries out a defined task in your systems, within the agreements made with your team.
Related terms
Want to know more about Agentic AI?
Want to know how to put Agentic AI to work in your organisation? Get in touch with Your Company OS.