Market Guides
What Is AI Consulting? How Enterprise Buyers Should Think About Scope and Value
A practical guide for enterprise buyers evaluating AI consulting services—covering what the category covers, how to scope engagements, and questions to ask before you sign.
AI Readiness Assessment: Checklist for Enterprise Teams
Before your enterprise invests in AI, assess readiness across data, infrastructure, people, and governance. A practical checklist for technology and business leaders.
Microservices Consulting: When to Bring in External Expertise (And What to Look For)
A practical guide for engineering leaders on when microservices consulting pays off, when it doesn't, and how to evaluate outside expertise without buying hype.
Cloud-Native Application Development: A Buyer's Guide for Engineering Leaders
Evaluating a cloud-native application development partner? Here are the architecture decisions, evaluation criteria, and cost drivers engineering leaders need to assess before committing.
DevOps Consulting: How to Evaluate a Partner Before You Engage
Before you sign a DevOps consulting contract, use this evaluation framework to assess delivery models, partner depth, and red flags that matter.
Data Privacy Consulting: Evaluation Criteria for Enterprise Data Platform Programmes
Evaluating an enterprise data platform? Here are the data privacy criteria your consultants should apply before you select a vendor or commit to architecture.
How to Choose a Data Governance Consulting Company: A Practical Guide
A practical guide to evaluating data governance consultants—covering criteria, engagement models, red flags, and questions to ask before you hire.
How Enterprises Evaluate AI Consulting Partners in 2026 (Beyond the Hype)
An analyst-led market guide on how enterprises evaluate AI consulting partners in 2026, based on real buyer behavior, delivery failures, and operating realities beyond GenAI hype.
Platform Engineering in 2026: When It Works, When It Fails, and How Companies Get It Wrong
An analyst-led market guide on platform engineering in 2026, grounded in real practitioner experience and failure patterns.