Internal Operations Automation with AI Agents
Automation of complex workflows with contextual decisions and orchestration across systems.
An AI agent that automates internal processes that need real decisions, not just if/else rules. It orchestrates several systems (CRM, ERP, email, webhooks), decides based on context and handles exceptions sensibly.
The problem
Your operations have manual workflows that need judgement: approving invoices against contextual criteria, validating orders with several checks, producing reports with analysis. Too complex for Zapier, too repetitive for your team.
How the agent works
Built on LangGraph, with contextual decisions
An event triggers it
The agent starts on a webhook, a cron job or an event in your systems (new order, invoice received, report requested).
It gathers information from several sources
It calls your systems' APIs: the CRM for customer history, the ERP for stock, the database for internal policies.
It makes decisions with LangGraph
It uses state machines to reason: is this order unusual? Does it need manual approval? Can I process it automatically?
It acts and notifies
It updates systems, sends emails, opens tickets and produces reports. If there are exceptions, it notifies your team with the full context.
Tech stack
Expected results
- Processing time under 30 seconds
- 70-80% of workflows fully automated
- Full integration with your existing systems
- 90% fewer manual errors
Is your case similar?
Let's talk. I'll tell you honestly whether an AI agent fits your process.
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