Enterprise AI Procurement: Where to Start

Enterprise AI procurement is different from traditional ICT procurement.

Organisations are increasingly being asked to evaluate AI platforms, define AI strategies, and understand rapidly changing vendor markets. Many teams are doing this without established frameworks.

This page provides a structured navigation hub for enterprise AI procurement topics covered across this site.

Who This Is For

This framework is designed for:

• Procurement and sourcing teams
• CIOs, CTOs, and technology leaders
• Finance and commercial teams
• Risk, governance, legal, and compliance stakeholders

Recommended Enterprise AI Procurement Journey

If you are early in your AI journey, a common sequence is:

1. Define use cases and assess organisational readiness
2. Establish governance principles and risk appetite
3. Build the business case and define success measures
4. Define requirements, architecture preferences, and evaluation criteria
5. Evaluate solution architectures and vendor options
6. Understand cost drivers, commercial models, and operating implications
7. Plan implementation, adoption, and change management

Organisations rarely follow a perfectly linear path. The sequence above reflects a common journey, but activities often overlap or occur in different orders depending on organisational context. The content below groups related topics into pillars to simplify navigation.

Jump to:

• Planning and Strategy
• Requirements and Evaluation Preparation
• Vendor Evaluation and Commercial Modelling
• Governance and Risk Management
• Implementation and Value Realisation

1. Planning and Strategy

How organisations define the procurement approach, build the business case, and decide whether to build or buy.

Enterprise AI Procurement in Australia: Market Structures and Procurement Considerations

Core Guides

• Enterprise AI Procurement in Australia: Market Structures and Procurement Considerations
• Building the Internal Business Case for Enterprise AI
• Enterprise AI Build vs Buy: Considerations Before Vendor Evaluation

Supporting Articles

• Enterprise AI Sourcing: Common Challenges in Early Evaluation and Scoping
• Enterprise AI Procurement: Why Enterprise AI Challenges Traditional ICT Procurement Models
• How AI Is Reshaping Enterprise ICT Procurement Decisions
• Consumer AI Tools and Enterprise AI Strategy: Understanding the Differences

2. Requirements and Evaluation Preparation

What must be defined internally before going to market. Organisations may encounter implementation or governance challenges where these areas are not clearly defined.

Enterprise AI Procurement: Requirement Definition Before Vendor Evaluation

Foundations

• Enterprise AI Use Case Definition: Distinguishing Genuine Workflows from Demo-Driven Theatre
• Enterprise AI Implementation Planning and Go-Live Readiness
• Enterprise AI Pilot Design: Building Evaluations That Support Defensible Decisions

Architecture

• Knowledge Graph vs LLM vs RAG: Architecture Considerations in Enterprise AI Procurement
• Enterprise AI Connector and Data Access Requirements: Defining Integration Scope Before Vendor Engagement
• Enterprise AI Procurement: System Integration Requirements, Connectors and Hidden Costs

Requirements Definition

• Non-Functional Requirements for Enterprise AI: Considerations for Australian Organisations
• Enterprise AI Non-Functional Requirements Part 2: Enterprise Readiness, Governance, and Transition Rights

3. Vendor Evaluation and Commercial Modelling

How organisations run the evaluation process, structure RFPs, assess platforms, and model total cost.

Enterprise AI Pricing vs Total Cost of Ownership: A Procurement Overview

Core Guides

• Enterprise AI Vendor Evaluation: Designing Structured Scorecards
• Enterprise AI Pricing vs Total Cost of Ownership: A Procurement Overview
• The Hidden Costs of Enterprise AI: Cost Areas Often Overlooked During Planning

RFP and Evaluation

• Enterprise AI RFP Structures and Template Considerations for Australian Procurement Teams
• The Enterprise AI RFP Blueprint: Sections, Weightings, and Gating Criteria for Australian Organisations
• Enterprise AI Platform Evaluation: Criteria and Assessment Considerations
• Reference Checks in Enterprise AI Procurement: Common Gaps and Evaluation Considerations

Pricing Models

• The Vendor Shift From Per-Seat to Consumption Pricing: What It Means for Enterprise AI Cost Modelling
• Fixed to Variable: Agentic AI and Shifting Enterprise Cost Structures
• Enterprise AI API Pricing: Token Cost Modelling and Budget Considerations
• Enterprise AI Unit Economics: How to Measure, Benchmark, and Reduce AI Costs

Budget Controls and Commercial Risk

• Enterprise AI Spend Caps and Budget Controls: Token Limits, Rate Tiers, and Cost Containment Approaches
• Enterprise AI Exit Costs: Switching Vendors and Transition Considerations
• Enterprise AI ROI: Measurement Approaches for AI Investments

4. Governance and Risk Management

How organisations manage AI risk, accountability, model lifecycle, and operational controls.

AI Governance for Australian Enterprises: Procurement and Implementation Considerations

Core Guides

• AI Governance for Australian Enterprises: Procurement and Implementation Considerations
• Enterprise AI Governance Frameworks: An Overview for Australian Organisations

Operating Model

• Enterprise AI Governance Structure: Roles and Responsibilities
• AI Governance for Enterprise Model Lifecycle Management
• The Cost of Enterprise AI Governance: Cost Components and Budget Considerations

Emerging Risk

• Agentic AI Governance: Risk and Strategy for Enterprise Deployments

5. Implementation and Value Realisation

How AI is embedded into real workflows and how organisations ensure it delivers value after deployment.

Enterprise AI Change Management in Australian Organisations: Implementation Considerations

Core Guides

• Enterprise AI Change Management in Australian Organisations: Implementation Considerations

Adoption

• Workflow Redesign for Enterprise AI: An Overview for Procurement Teams
• Enterprise AI Training Design: Procurement Considerations and Common Approaches
• Enterprise AI Superuser Programmes: Structure, Resourcing, and Operational Considerations

Measurement and Value

• Measuring Enterprise AI Adoption Beyond Licence Activations
• Enterprise AI Value Realisation: How Organisations Extract ROI After Go-Live
• Enterprise AI Value Realisation After Go-Live: Measuring Outcomes Post-Deployment

Where to Start Next

New to enterprise AI procurement? A common starting point is:

1. Enterprise AI Procurement: Requirement Definition Before Vendor Evaluation
2. Building the Internal Business Case for Enterprise AI
3. Enterprise AI Vendor Evaluation: Designing Structured Scorecards

Organisations arrive at enterprise AI procurement at different stages. Some are building an internal case before any vendor conversations have begun. Others are mid-implementation, working through issues that were not visible at the procurement stage. The five pillars reflect the full range of decisions involved. Each is covered in depth across the linked articles.

This article provides general commercial and procurement commentary only and does not constitute legal, financial, or professional advice.