Achieving Real Value with AI Agents

Описание: Chasing flashy AI demos is useless if your enterprise lacks the documentation and APIs to support them. Many companies struggle with agent adoption because they underestimate the complexity of orchestration and the "boring" reality of legacy infrastructure.

Jonas Diezun, CEO of Beam AI, joins Gilles Backhus on the Base2 podcast to discuss the shift from "rebuilding humans" to automating high-volume, repetitive enterprise work. You will learn how to identify "easy win" use cases for automation and why the future of the workforce involves employees managing fleets of specialized agents rather than manual tasks.

What you will learn:
Why processes already outsourced to Business Process Outsourcing (BPO) or shared service centers are the ideal starting point for agents due to their existing clear definitions and documentation.

Why the lack of proper APIs in enterprise systems remains a massive hurdle, and why "browser use" methods are often too unreliable for agents requiring 95-98% accuracy.

Why the immediate goal is to reduce backlogs rather than cause mass layoffs, with a realistic expectation that one employee can manage between five and 25 agents.

How observing the "delta" between an agent's prediction and a human's ultimate action allows systems to autonomously improve accuracy from 32% to 75% without human intervention.

Why the industry is moving away from individual standalone agents toward complex, orchestrated systems where multiple agents work together to solve business problems.

EVERYTHING ABOUT TENSTORDYNE
https://www.tensordyne.ai

More about Jonas
LinkedIn: ⁠  / jonasdiezun  
Website: ⁠https://beam.ai

More about our host, Gilles
LinkedIn: ⁠   / gillesbackhus