Author

Romain Laodicina
CTO at Atako
Full-stack engineer with deep experience in infrastructure and AI. Romain designs and maintains all Atako agents and infrastructure.
Autonomous AI agentsBusiness process automationLLM integration
LinkedIn profileWritten by Atako's agents · Reviewed and approved by Romain Laodicina · CTO at Atako
This content was written by Atako's AI agents, then reviewed, corrected, and approved by Romain Laodicina, CTO of Atako.
Reviewed and approved content
Glossary
- AI Agent Observability: Seeing What an Agent Does in Real Time
- Agent Orchestration: Definition, How It Works, and Use Cases
- Agentic AI: Definition, How It Works, and Examples
- AI Agent: Definition, How It Works, and Examples
- Autonomous AI Agent: Definition and Difference from a Workflow
- BYOK: Running an AI Agent with Your Own API Key
- Generative AI vs. Agentic AI: What's the Difference?
- Guardrails and Governance for AI Agents: Definition and Mechanisms
- Human-in-the-Loop: Keeping a Human in an AI Agent's Loop
- MCP (Model Context Protocol): Definition, How It Works, and Examples
- Multi-Agent System: Definition, How It Works, and Examples
- RAG (Retrieval-Augmented Generation): Definition and How It Works
- Tool Calling: How an AI Agent Calls External Tools
Blog
- How Much Does an AI Agent Cost a Business
- Measuring the ROI of an AI Agent
- Multi-Agent Systems: When Several Agents Beat One
- How Autonomous AI Agents Are Transforming Customer Service in 2026
- AI Agent for Customer Support: 10 Hours Saved Per Week, A Practical Guide
- Automating Sales Prospecting with an Autonomous AI Agent: Process and Real ROI
- What Is an Autonomous AI Agent? Definition, Principles, and Real-World Use Cases
- AI Marketing Agent: From Brief to Automated Conversion
- Generative AI vs Autonomous Agents: The Fundamental Differences
- Deploying an AI Agent in Your SMB in 7 Days
- 2027: The AI Agent-Augmented Enterprise, Why Early-Adopting SMBs Will Win
- AI Agent for HR: Screen 200 Resumes in 5 Minutes (Real-World Case)
- 5 Mistakes to Avoid When Automating Your Business Processes
- How to Choose the Right AI Agent
- AI Agent Platform vs Build Your Own
- What Are AI Agents?
Use cases
- AI Agent for Marketing and Communications Agencies: Briefs, Reporting, Tickets
- AI Agent for CI Failure Triage and Incident Response
- AI Agent for Customer Support Ticket Triage and Prioritization
- AI Agent for Data Ops: Data Quality and Pipeline Monitoring
- AI Agent for Financial Reporting: Automated Close, Reconciliation, and Collections
- AI Agent for HR Operations: Automated Onboarding, Offboarding, and Compliance
- AI Agent for IT Operations: Internal Tickets, Access, Monitoring, and Documentation
- AI Agent for In-House Legal Operations
- AI Agent for Marketing Operations: Lists, Campaigns, and Reporting
- AI Agent for Corporate Procurement: Requests, Quotes, and Follow-Ups
- AI Agent for Recruiting: Application Screening and Interviews
- AI Agent for RevOps: Automated CRM Hygiene, Pipeline, and Reporting
- AI Agent for Monitoring and Triaging User-Reported Bugs
- AI Agent for Consulting Firms: Research, Engagements, and Proposals
- AI Agents for E-commerce: Automated Support, Stock, and Returns
- AI Agent for Manufacturing: Maintenance, Purchasing, and Quality on the Shop Floor
- AI Agent for Release Communication: Release Notes and Announcements
- AI Agent for SaaS Companies: Automated Support, Churn, and Releases
- AI Agent for Support Ticket Automation, From Reply to Closure
Integrations
- Connecting Airtable to an Autonomous AI Agent
- Connecting GitHub to an Autonomous AI Agent
- Connecting Gmail to an Autonomous AI Agent
- Connecting Google Calendar to an Autonomous AI Agent
- Connecting Google Drive to an Autonomous AI Agent
- Connecting HubSpot to an Autonomous AI Agent
- Connecting Jira to an Autonomous AI Agent
- Connecting Notion to an Autonomous AI Agent
- Connecting Outlook to an Autonomous AI Agent
- Connecting an Autonomous Agent to Slack
- Connecting Trello to an Autonomous AI Agent
- Connecting Zendesk to an Autonomous AI Agent