AI Agents
See what AI agents can do for your industry or process: the jobs they take on, how each agent runs, and a worked example with sample data.
Direct Answer
AI agents are software given a goal instead of a fixed script: they plan steps, call tools, check the results, and stop or hand off to a person when a decision carries risk. Pick your industry or process below to see what an agent can do, how it runs, and a worked example.
AI Agents for Sales Follow-ups in Sales
AI agents for sales follow-ups in sales demonstrate the goal-driven loop, tool use, and a concrete worked example ending in a customer-ready outcome and auditable decisions.
AI Agents for Sales Follow-ups
This page shows how an AI agent handles sales follow-ups: goal setting, planning, tool calls, result checks, and hand-off, with a concrete worked example.
AI Agents for Sales Forecasting in CPG
This page demonstrates how AI agents plan, execute, and refine a sales-forecasting workflow for consumer packaged goods, with a concrete worked example and explicit stop conditions.
AI Agents for Sales Forecasting in Sales
This page shows how AI agents handle the full cycle of sales forecasting, from goal to tool calls, result checks, and hand-off, with a concrete worked example.
AI Agents for Sales Forecasting
This page shows how an AI agent handles a sales forecasting task end-to-end, including goal setting, planning, tool calls, results checks, and hand-off.
AI Agents for Sales Prospecting in Sales
This page shows how AI agents execute a sales prospecting loop, including goal setting, planning, tool use, result checks, and hand-off with a concrete worked example.
AI Agents for Sales Prospecting
Shows a goal-driven AI agent loop for sales prospecting, including tools, data flows, and a concrete worked example of prospecting, outreach, and hand-off.
AI Agents for Sales Rep Enablement in Pharma and Life Sciences
Shows how an AI agent for sales rep enablement in pharma and life sciences operates, including goals, tool use, and a concrete worked example.
AI Agents for Sales Rep Enablement
Shows a practical AI agent loop for sales rep enablement, detailing goals, tools, checks, and a worked example from goal to finish.
AI Agents for Sales
This page defines how sales AI agents operate, listing required tools, decision loops, stopping criteria, and a concrete worked example of a goal-driven sales agent in action.
AI Agents for Sanctions Screening in Legal and Compliance
A practical reference showing how AI agents perform sanctions screening tasks, how they run in a loop, and a concrete worked example from goal to finish.
AI Agents for Sanctions Screening
This page shows how an AI agent handles sanctions screening: goals, planning, tool use, results checks, and hand-off, with a concrete worked example.
AI Agents for S&OP Planning in Supply Chain
This page shows how an AI agent executes S&OP planning tasks, from goal formulation to action and hand-off, with a concrete worked example and concrete tooling the agent uses.
AI Agents for S&OP Planning
A practical reference showing how an AI agent executes S&OP planning tasks: goals, tool use, loop, checks, and a concrete worked example from goal to handoff.
AI Agents for Scenario Analysis in Risk Management
This page describes how AI agents perform scenario analysis in risk management, detailing goals, planning, tool use, and a concrete worked example.
AI Agents for Scenario Analysis
This reference shows how a goal-driven AI agent runs scenario analysis from goal to execution, including tool use, checks, and handoff to humans when needed.
AI Agents for Scenario Modeling in Corporate Strategy
This page details the goal-driven loop for AI agents in scenario modeling for corporate strategy, including tool use, checks, and a concrete worked example.
AI Agents for Scenario Modeling
This page defines the AI agent loop for scenario modeling, detailing goals, tools, checks, and handoffs, plus a concrete worked example to illustrate execution and governance.
AI Agents for Scenario Planning in Supply Chain
Shows how AI agents perform scenario planning in supply chain, detailing goal-driven loop, tooling, checks, and a concrete worked example.
AI Agents for Scenario Planning
Shows how an AI agent plans scenarios, calls tools, evaluates outcomes, and hands off when needed, with a full worked example focused on scenario planning.
AI Agents for Scope 3 Emissions Tracking in ESG and Sustainability
AI agents for scope 3 emissions tracking in ESG and sustainability demonstrate goal-driven planning, tool invocation, result verification, and handoff to humans when needed.
AI Agents for Scope 3 Emissions Tracking
This page outlines how an AI agent tracks Scope 3 emissions, plans steps, calls tools, evaluates results, and hands off when needed, with a concrete worked example.
AI Agents for Script Analysis in Media and Entertainment
A practical reference showing how an AI agent analyzes scripts for structure, tone, and market fit, with a concrete worked example.
AI Agents for Script Analysis
This page shows how an AI agent analyzes scripts, plans steps, calls tools, checks results, and hands off when needed in a concrete worked example.
FAQ
What is an AI agent?
An AI agent is software given a goal rather than a fixed script. It plans steps, calls tools, checks the results, and either finishes or hands off to a person.
What is the difference between an AI agent and AI automation?
AI automation runs a defined process with AI at certain steps. An AI agent chooses its own next step toward a goal, which suits work where the path changes from case to case.
Which AI agent should a business build first?
Start with one narrow goal, read-mostly tool access, and a clear owner. Widen what the agent may do alone only after its logged runs show it can be trusted.