Tag: AI agents
Handing the customer to a human: the most critical moment in AI customer service
None of the Fortune 500 companies will have completely eliminated human customer service by 2028. 50% of organizations that had planned significant staff cuts will abandon those plans by 2027. The escalation point between AI and human is the most critical moment in modern customer service.
How to measure an AI agent that actually works
45% of high AI maturity organizations keep their projects in production for at least three years. Only 20% of low maturity organizations do. The difference isn't the technology: it's the measurement. Here's what to measure and how to make the numbers actually useful.
When the AI agent must stop
The autonomy of AI agents is an advantage up to the point where it stops being one. Defining when an agent must stop and ask for human confirmation is not a technical limitation: it is a design choice that determines whether a system is reliable or dangerous.
Agentic AI: what it really means and why most projects fail
Gartner predicts that over 40% of agentic AI projects will be canceled by 2027. 19% of organizations have already made significant investments, 42% conservative investments. The term is widely misused, projects are launched without clarity, and real costs surface too late.
Back office: the invisible work that AI is making autonomous
Inquiries about multi-agent systems grew by 1,445% in less than two years. The back office is the business area where this technology finds the most immediate application. But automation does not mean eliminating human oversight.
The Recruiter That Never Sleeps
By 2027, 75% of hiring processes will include AI proficiency tests. By 2028, one in four candidate profiles will be fake. AI is changing recruiting in ways that companies have not yet finished measuring.
Client Onboarding: The Work That AI Agents Are Taking Over
By 2029, agentic AI will resolve 80% of common customer service issues without human intervention. What changes in how companies onboard new clients, and why over 40% of projects will fail before reaching production.
MCP, the standard connecting AI models to enterprise data
The Model Context Protocol is the emerging standard that allows LLMs to access external data and tools in a standardized way. What it is, how it works, and why major vendors are already adopting it.
Putting AI on the org chart is a costly mistake
Organizations that place AI agents on the org chart see 15% lower employee engagement. Gartner data on why treating AI as a colleague is a counterproductive strategy.
AI agents work even when you don’t ask them to
AI agents are autonomous systems capable of planning, deciding, and acting without continuous human intervention. How they work, what sets them apart from simple assistants, and why they are changing the way companies organize processes.
