Common use cases and applications for AI agents

To understand where agents deliver real business value, let's examine how organizations are deploying them today. Real-world implementations reveal patterns that can guide your own strategic decisions and help you identify the highest-impact opportunities within your organization.

Coding

Accelerated development on enterprise systems: Augment Code (opens in new tab) uses Claude on Google Cloud's Vertex AI to help developers navigate complex codebases with millions of interdependent lines of code. One enterprise customer completed a project in 2 weeks that their CTO estimated would take 4-8 months, while developer onboarding accelerated from weeks to 1-2 days. The platform helps teams understand sophisticated software systems faster, enabling them to write, document, and maintain code more efficiently.

Data analysis

Conversational observability data exploration: Grafana uses Claude to power an intelligent assistant that enables teams at all skill levels, from CTOs to junior engineers, to unlock observability data through natural language (opens in new tab). Users can ask questions like "What's the request latency for my checkout service?" and Claude automatically finds relevant metrics and constructs appropriate PromQL and LogQL queries.

Customer support and operations

High-resolution automated support at scale: Intercom's Fin AI agent, powered by Claude, achieves up to 86% resolution rates (opens in new tab) with human-quality responses across over 25,000 customers. The platform delivers a 51% average resolution rate out of the box (before customization), reduces response times from 30 minutes to seconds, and supports over 45 languages.

AI-enhanced human support coordination: Assembled uses Claude to power their Assist platform, achieving a 20% increase in customer satisfaction (opens in new tab) while decreasing support spend, over 50% reduction in escalations, and more than 30% improvement in cases solved per hour. Their approach focuses on resolving complex Tier 2+ issues rather than just deflecting simple queries.

Legal

Enterprise legal knowledge at scale: Thomson Reuters uses Claude in Amazon Bedrock to power CoCounsel, delivering expertise from 3,000+ subject matter experts (opens in new tab) and over 150 years of authoritative content to legal and tax professionals. The platform processes complex contracts and tax documents with rigorous accuracy through expert validation, with customers reporting they "can easily see it cutting the time in half, maybe even more" and describing CoCounsel's efficiency as "staggering" - freeing professionals to "focus on higher-level, more strategic work."

Flexible legal AI with superior instruction-following: Legora uses Claude to power their entire legal platform, achieving 18% higher performance (opens in new tab) on their proprietary large legal evaluation set across complex tasks. Claude Sonnet's gains come from "consistency over large tasks and documents and accurately following complex instructions," enabling Legora to build flexible agentic workflows that adapt to different practice areas and client requirements, helping lawyers "review and research with precision, draft smarter, and collaborate seamlessly."

Marketing

Automated multi-platform advertising at scale: Advolve uses Claude to orchestrate their entire digital customer acquisition process, managing millions of ads simultaneously across platforms with real-time data validation and dynamic budget allocation. The system achieves a 90% reduction in operational work time and a 15% increase in customer return on ad spend (ROAS), with their platform reaching "human-level ROAS when managing multi-million dollar budgets in under 30 days" for major enterprise clients managing ad budgets exceeding $100M.

Vertical spotlight: Financial services

Automated fraud detection and risk assessment: Inscribe uses Claude to power AI Risk Agents that reduce fraud review time by 20x—from 30 minutes to 90 seconds—while increasing output by 70x (opens in new tab) in client examples. The AI Fraud Analyst detects fraud in images and PDFs, verifies applicant details through KYC and KYB checks, uncovers risky transactions, and provides auditable risk reports in approximately 90 seconds. This enables financial institutions to expand access to creditworthy but underserved populations including thin-file, unbanked, and credit-invisible individuals.