Hcode
AI Leadership

AI for Productivity

2 - 4 Hours 3 Modules

Overview

Main Topic: Process Redesign and Capacity Management

Workload: 2 - 4 Hours

Level: Intermediate

Target Audience: Directors, Operations Managers, Team Leaders, and CTOs

ABOUT THE TRAINING

This module teaches leadership to view the company's structure through "AI lenses." The focus is not on operating the tool, but on redesigning processes and organizational structures to eliminate historical inefficiencies, freeing human capital for high-value activities. It is the transition from "doing the same with AI" to "doing differently to gain scale."
AI for productivity

Objective

Empower leaders to diagnose intelligent automation opportunities, restructure workflows, and plan the strategic reallocation of saved human hours to innovation and customer relationship projects.

TRAINING MODULES

Module 01

Diagnosis of Opportunities and Bottlenecks

Methodology to analyze current workflows and identify operational inefficiencies that can be addressed with Generative AI. The professional will learn to prioritize processes based on financial impact and technical feasibility of implementation.

Module 02

Process Redesign with "AI Lenses"

Restructuring tasks by integrating AI as part of the team. How to eliminate obsolete manual steps and design new flows where collaboration between humans and machines is native, ensuring agility in decision-making.

Module 03

Monitoring Impact and Productivity ROI

Focus on measuring progress. Implementation of KPIs that assess not only cost reduction but also margin increase and the competitive advantage generated by the adoption of an AI-augmented workforce.

Pearson research: learning & AI

New research from Pearson shows that the real economic potential of artificial intelligence (AI) will only be reached if employers pair their investment in technology with continuous learning.

The report notes that the most significant productivity gains happen when technology rollout and skill development take place at the same time. It gives senior management four practical steps for that, called the Learning Framework:

  • Diagnose and define a plan to raise performance across the board
  • Weave learning smoothly into the flow of work
  • Assess and measure skill progress toward an AI-augmented workforce
  • Treat learning as a fundamental strategic investment

According to the World Economic Forum, 59% of the global workforce will need reskilling by 2030, which underlines how urgent it is to close the learning gap.

Source: valor.globo.com

Get in touch with our specialists