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 Lease Accounting
This page demonstrates a goal-driven AI agent performing lease accounting tasks, detailing the loop, required tools, and a concrete worked example for reference.
AI Agents for Lease Management in Facilities Management
A practical reference showing how AI agents handle lease management tasks in facilities management from goal to tool use to handoff and stop conditions.
AI Agents for Lease Management
This page shows how a goal-driven AI agent handles lease management tasks, from goal reception to tool execution and hand-off, with a concrete worked example.
AI Agents for Legacy Code Modernization in Software Engineering
This page shows how an AI agent autonomously modernizes legacy code, outlining goals, tool use, loop, and a concrete worked example to guide engineers on first steps and stopping conditions.
AI Agents for Legacy Code Modernization
This page demonstrates how AI agents perform legacy code modernization tasks, detailing the goal-driven loop, required tools, decision points, and a concrete worked example from goal to completion with explicit artifacts.
AI Agents for Legal and Compliance Companies
This page shows how a legal and compliance firm runs a goal-driven AI agent, outlining goals, tools, governance, and a concrete worked example at the company level.
AI Agents for Legal and Compliance
This page defines AI agents for legal and compliance, detailing the agent loop, required tools, checks, and a worked example of a complete run.
AI Agents for Legal Companies
Shows how a legal firm can deploy an initial AI agent, its ownership, permissions, and gradual expansion as trust grows, with a company-level worked example.
AI Agents for Legal Drafting in Legal
A practical reference showing how an AI agent drafts legal documents, checks compliance, and iterates with human review within a defined goal loop.
AI Agents for Legal Drafting
AI agents for legal drafting demonstrate goal-driven drafting, tool use, result checks, and handoffs in a concrete worked example for contract and brief generation.
AI Agents for Legal Intake in Legal
A practical reference showing how AI agents handle legal intake: goals, planning, tool calls, checks, and handoff through a concrete worked example.
AI Agents for Legal Intake
Shows how a goal-driven AI agent handles legal intake, from goal to tool use, decision points, and hand-off, with a concrete worked example.
AI Agents for Legal Research in Legal
Shows how a goal-driven AI agent performs legal research tasks, including planning, tool use, result validation, and hand-off, with a concrete worked example.
AI Agents for Legal Research
A practical reference showing how AI agents for legal research operate, including goal-driven loop, tool use, validation, and a concrete worked example with controls and handoff.
AI Agents for Legal
This page shows how a legal AI agent sets a goal, plans steps, uses tools, verifies results, and hands off when needed, with a concrete worked example.
AI Agents for Lending Operations in Fintech
This page shows the AI agent loop for lending operations, detailing goals, tools, checks, and a concrete worked example from goal to hand-off.
AI Agents for Lending Operations
A practical reference showing how AI agents handle lending operations tasks, the agent loop, data flow, and a concrete worked example from goal to finish with explicit tool use and escalation points.
AI Agents for Listing Generation in Real Estate
A reference page showing how AI agents generate real estate listings, from goal to execution, including tools, data, and a worked example.
AI Agents for Listing Generation
This page shows how AI agents for listing generation plan, execute, and verify steps to create optimized property listings with data, media, and compliance checks.
AI Agents for Literature Review in Pharma and Life Sciences
Demonstrates a goal-driven AI agent workflow for literature review in pharma and life sciences, including planning, tool usage, result checks, and a concrete worked example.
AI Agents for Literature Review
A practical reference showing how to build a goal-driven AI agent for literature reviews, including its loop, tools, and a concrete worked example from goal to finish.
AI Agents for Litigation Support in Legal
This reference shows how litigation-focused AI agents run a goal-driven loop, the tools they call, and a concrete worked example from goal to finish.
AI Agents for Litigation Support
This reference shows how goal-driven AI agents perform litigation support tasks, including planning, tool calls, result checks, and handoffs, with a concrete worked example and implementation guidance.
AI Agents for Live Chat Support in Customer Service
This page explains how AI agents handle live chat support work, detailing goal-driven loops, tools used, and a concrete worked example for billing scenarios in customer service.
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.