Pragmatix AI Capability Model pX-AICM v1.0

A comprehensive framework for understanding, assessing, and deploying AI capabilities across your enterprise — grounded in the Pragmatix Digital Transformation Framework.

Adapted from BCG Robotaxonomy (2023), extended to include operational governance.

Perceiving
Thinking
Acting
Operating
👁

Perceiving

Computer Vision

Image Recognition Facial Recognition Object Detection OCR Video Analysis

Natural Language Processing

Sentiment Analysis Named Entity Recognition Topic Modelling Speech Recognition Translation

Sensor & Signal Processing

IoT Data Ingestion Anomaly Detection Pattern Recognition
🧠

Thinking

Reasoning (Symbolic AI)

Knowledge Graphs Rule Engines Inference & Logic Planning & Scheduling Decision Trees

Machine Learning (Statistical AI)

Supervised Learning Unsupervised Learning Reinforcement Learning Deep Learning Transfer Learning

Hybrid / Neuro-Symbolic

Neural-Symbolic Integration Explainable AI (XAI)

Acting

Generative AI

Text Generation (LLMs) Code Generation Image Generation Video Generation Conversational AI

Smart Automation

Robotic Process Automation Intelligent Document Processing Workflow Automation API Orchestration

Agentic AI

Autonomous Agents Multi-Agent Systems Tool Use & Integration Goal-Directed Behaviour
🔧

Operating

Platforms & Infrastructure

Cloud AI Platforms MLOps / LLMOps Model Serving Vector Databases

Governance & Risk

AI Policies & Ethics Bias & Fairness Regulatory Compliance Audit & Accountability

Security & Operations

Model Security Data Protection Monitoring & Observability Cost Management
📊

Data Foundation

  • Data Quality
  • Data Governance
  • Integration & Pipelines
👥

People & Skills

  • AI Literacy
  • Specialist Talent
  • Change Management
🏗️

Architecture

  • Enterprise Integration
  • Scalability
  • Interoperability
🎯

Strategy & Alignment

  • Business Intent
  • Capability Mapping
  • Value Realisation
← Back to Chapter 1
☰ Contents