Differences between Chatbots, Copilots, and Agents
Evolution of Salesforce AI Helpers
Chatbots — Answer
What it is: Q&A helper for common questions (FAQ style).
Built with: Rules + basic NLP/ML (predictive intent matching).
How it works: User asks → bot matches keywords/intent → returns a predefined reply or link.
Strengths: Fast responses, consistent, low cost.
Limits: Script-based; can’t generate content or handle multi-step tasks.
When to use: Help center, order status, password reset, simple routing.
Salesforce Example: Einstein Bots for website/WhatsApp FAQ.
Data Point: Industry studies show 70% of customer service chats can be resolved by bots answering FAQs.
Copilots — Assist
What it is: Smart assistant that writes, summarizes, or suggests content.
Built with: Generative AI (LLMs).
How it works: User asks in natural language → model reads CRM context → drafts email/summary/answer → you review & approve.
Strengths: Saves time, understands free text, creates good quality drafts.
Limits: Doesn’t act independently; requires user approval.
When to use: Drafting emails, summarizing cases, analyzing opportunities.
Salesforce Example: Einstein Copilot inside CRM.
Data Point: According to Salesforce, Copilot can reduce response drafting time by 40% and boost agent productivity by 27%.
Agents — Act
What it is: An autonomous digital worker that completes tasks end-to-end.
Built with: Agentic AI = LLM + tools/automation (Flows/APIs) + governance policies.
How it works: You set a goal → agent plans steps → calls tools/flows → checks results → repeats until task completes → logs outcome → asks approval at guardrails if needed.