Moving beyond simple chatbots. Agentic AI systems can perceive, reason, act, and learn. These capabilities are redefining the modern workforce.
Agentic AI refers to artificial intelligence systems capable of pursuing complex goals with limited direct supervision. Unlike traditional LLMs which wait for a prompt, Agents can plan, execute multi-step workflows, and correct their own errors.
Planning and self-reflection loops
Executes tasks without constant prompts
Connects to APIs, DBs, and browsers
Retains context across long workflows
Agentic AI refers to artificial intelligence systems capable of pursuing complex goals with limited direct supervision. Unlike traditional LLMs which wait for a prompt, Agents can plan, execute multi-step workflows, and correct their own errors. Key characteristics include reasoning, autonomy, tool use, and memory.
Traditional chatbots respond to individual prompts without context. Agentic AI systems can: 1) Plan and execute multi-step tasks autonomously, 2) Use external tools like APIs and databases, 3) Maintain memory across sessions, 4) Self-correct errors during execution. This makes them capable of handling complex workflows that chatbots cannot.
Agentic AI has four core capabilities: 1) Reasoning - planning and self-reflection loops, 2) Autonomy - executing tasks without constant prompts, 3) Tool Use - connecting to APIs, databases, and browsers, 4) Memory - retaining context across long workflows.
Businesses can use Agentic AI to automate GTM workflows including: lead research and enrichment, personalized outreach at scale, competitive analysis, content creation, sales follow-ups, and pipeline management. Shyft specializes in deploying agentic systems for GTM automation.
AI assistants (like basic ChatGPT) respond to prompts one at a time. AI agents operate autonomously to complete complex tasks. Agents can break down goals into subtasks, use multiple tools, handle errors, and work without constant human supervision. This makes them suitable for enterprise automation.