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 Banking Companies
Shows how a banking company selects, deploys, and expands an AI agent within governance and risk controls, with a worked example.
AI Agents for Banking
This page shows how AI agents in banking pursue goals, plan steps, call financial tools, verify outcomes, and finalize decisions with human oversight when needed.
AI Agents for Batch Record Review in Pharma and Life Sciences
Demonstrates a goal-driven AI agent loop for batch record review in pharma, detailing tools, steps, and a concrete worked example.
AI Agents for Batch Record Review
This page details the AI agent loop for batch record review, including required tools, data access, and clear stopping conditions with a concrete worked example.
AI Agents for Batch Scheduling in Chemicals
Shows the AI agent loop for batch scheduling in chemicals, including required tools, decision points, and a concrete worked example of a full run from goal to finish.
AI Agents for Batch Scheduling
This page details how an AI agent can plan, execute, and adjust batch scheduling tasks, with a concrete worked example from goal to finish.
AI Agents for Bed Management in Hospitals
This reference shows how an AI agent for bed management in hospitals operates—from goal to execution—to optimize bed availability, patient flow, and discharge handoffs, with a concrete worked example.
AI Agents for Bed Management
This page shows how an AI agent manages hospital bed allocation, patient flow, and status updates through a goal-driven loop with concrete worked example.
AI Agents for Beneficiary Services in Nonprofits
This page shows how a beneficiary-services AI agent is defined, runs a goal-driven loop, uses nonprofit data tools, and delivers actions with human oversight in a worked example.
AI Agents for Beneficiary Services
This page details how AI agents perform beneficiary services, outlining the goal-driven loop, tools, checks, and a concrete worked example of a full agent run from goal to finish.
AI Agents for Benefits Administration in Human Resources
This reference shows how an AI agent handles benefits administration tasks, from goal to tool use to hand-off, with a concrete worked example.
AI Agents for Benefits Administration
This page demonstrates how an AI agent can handle benefits administration tasks, from goal to execution, with a concrete worked example and clear stop criteria.
AI Agents for Benefits Processing in Government and Public Sector
Shows how an AI agent runs for benefits processing in government, detailing goals, tools, steps, checks, and when to stop, with a concrete worked example.
AI Agents for Benefits Processing
Shows how AI agents handle benefits processing tasks from goal to completion, detailing planning, tool calls, result checks, and hand-offs with a concrete worked example.
AI Agents for Bid Management in Construction
Shows how AI agents manage bid processes in construction, including goal-driven loops, tool calls, checks, and a concrete worked example from goal to finish.
AI Agents for Bid Management
This page shows how AI agents perform bid management: goal-driven planning, tool calls, result checks, and handoffs, with a concrete worked example of a bid adjustment workflow.
AI Agents for Bill of Materials Management in Manufacturing
A practical reference showing how AI agents manage bill of materials processes in manufacturing, from goal to tool calls and validation, with a concrete worked example.
AI Agents for Bill of Materials Management
This reference shows how AI agents manage bill of materials data, plan tasks end to end, call ERP and PLM tools, verify results, and hand off when criteria are met.
AI Agents for Billing Dispute Resolution in Telecommunications
A practical reference showing how an AI agent handles billing dispute resolution in telecommunications, including loop steps, tool use, and a concrete worked example.
AI Agents for Billing Dispute Resolution
Shows how an AI agent runs to resolve billing disputes, detailing goal-driven planning, tool use, checks, and a concrete worked example.
AI Agents for Billing Review in Legal
This page defines a goal-driven billing review agent for legal teams, detailing its loop, tools, stopping conditions, and a worked example that shows practical execution.
AI Agents for Billing Review
This page shows how an AI agent handles billing review tasks, the loop it runs, and a concrete worked example.
AI Agents for Board Reporting in Corporate Strategy
A practical reference showing how an AI agent prepares board reports in corporate strategy, including goal handling, tool use, and a concrete worked example from goal to finish.
AI Agents for Board Reporting
This page defines how AI agents perform board reporting tasks, their loop, tool use, and a concrete worked example showing planning, execution, and human handoff.
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.