Use cases

AI Agent Use Cases & Playbooks

agentwach is shaped by four kinds of users. Whichever you are, the next page tells you exactly which features matter, which plan covers it, and how a setup like yours usually looks after a week.

01

For solo builders

One developer, one credit card, and an agent that just spent $40 overnight. Budget alarms, per-agent cost views, and a one-line SDK — no setup tax.

→ Free tier covers most side projects
02

For AI agencies

Run client agents in isolated workspaces, send branded usage reports, and bill from real data instead of vibes. Built for shops shipping for ten clients at once.

→ Per-client workspaces + client-ready exports
03

For GitHub Copilot teams

Track Copilot premium-request credits by user, repo, and model. Cap a repo before it hits 100% and ping the owner in Slack before finance notices.

→ Per-user, per-repo Copilot credit caps
04

For LangGraph, CrewAI & AutoGen

Loop detection, hard stops, and node-level traces for the frameworks that loop the most. Replay any run, diff two runs, exit gracefully on cap.

→ Hard stops the moment a loop forms
05

For LangGraph teams (deep-dive)

Replay any graph run, see every node transition, tool call, and state mutation. The LangChain callback handler drops in next to your existing tracer.

→ Node-level traces without re-architecting
06

For multi-provider companies

Normalise OpenAI, Anthropic, Google, and self-hosted spend onto one cost axis. Stop reconciling four billing dashboards on the 1st of the month.

→ OpenAI + Anthropic + Google + custom — one view
07

For enterprise AI governance

Org-wide budget caps, SSO, audit logs, and prompt-injection blocking across every provider your teams use. Built for platform, security, and FinOps leaders.

→ SSO + SCIM + audit log + policy enforcement

Want to see what the export actually looks like before you sign up? Peek at the sample client report.