Skip to main content

IA Playbook

The PAE AI Playbook is a strategic document that consolidates AI principles, policies, and processes to ensure responsible use, operational consistency, and strategic impact across all PAE areas.

Specifications

Title
IA Playbook
Playbook Link
Playbook GPT Link
Last Update
November 26, 2025

Description

The PAE AI Playbook is a strategic document that consolidates AI principles, policies, and processes to ensure responsible use, operational consistency, and strategic impact across all PAE areas.

It outlines five core areas:

1. Purpose and Mission

The playbook defines the mission of the AI area: to drive digital transformation, innovation, and efficiency by integrating AI solutions that enhance productivity, scalability, and client value.
The AI team focuses on leveraging technology to support business growth, optimize operations, and strengthen decision-making.

2. Policies

Core policies establish how AI is implemented, governed, and monitored across PAE. These policies outline standards for:

  • Ethical and transparent AI use
  • Data governance and quality
  • Security, privacy, and compliance
  • Personalization and user experience
  • KPI measurement and continuous improvement
  • Client-centered AI programs
  • Agile testing, prototyping, and innovation
  • Automation, optimization, and scalability
  • Cross-team collaboration and training

3. Processes

Clear procedures document how AI is researched, designed, tested, deployed, and monitored. Processes cover:

  • Innovation and experimentation
  • AI investment and tool selection
  • Pilot programs and controlled testing
  • System integration and rollout
  • Continuous monitoring and training
  • Data management and governance
  • Client satisfaction evaluation

4. KPIs and Performance Tracking

The playbook defines the primary KPIs used to evaluate the success of AI initiatives:

  • AI Adoption Rate
  • Operational Efficiency Improvement
  • AI-Driven Conversion Rate
  • Engagement and Learning Improvement
  • Overall AI-Driven Business Impact

5. Roles and Responsibilities

The AI team includes three primary roles—Subdirector de Inteligencia Artificial (SIA), AI Project Support, and Editing & Translation Support. Each role has responsibilities related to:

  • Strategic leadership
  • Project coordination
  • Quality assurance
  • Data and workflow support
  • Collaboration with internal and external teams
  • KPI tracking and reporting