AI Readiness: 5 Questions Before You Invest
AI Readiness: 5 Questions Before You Invest

Sombra has published a new framework designed to help organisations assess their AI readiness before committing significant investment, addressing a growing concern that many AI projects fail to deliver expected returns.

The Readiness Challenge

According to Gartner, 60 percent of AI projects will be abandoned by 2026. Sombra's framework aims to help organisations avoid becoming part of that statistic by asking five critical questions before committing resources.

Five Questions for AI Readiness

The framework centres on five areas that organisations must address:

  • KPI Ownership — Who is accountable for measuring AI outcomes against business objectives?

  • Dataset Readiness — Is your data clean, accessible, and structured for AI consumption?

  • Workflow Change — How will AI integration alter existing business processes and team dynamics?

  • Error Budget — What is your tolerance for AI mistakes, and how will you handle them?

  • Cost Per Outcome — Can you quantify the expected return against the total cost of AI deployment?

The organisations that succeed with AI are the ones that ask the hard questions before they write the cheque. Technical capability is rarely the bottleneck — it is organisational readiness that determines success or failure.

Yuriy Nakonechnyy, CTO, Sombra

The framework is positioned as a practical tool for technology leaders and board members evaluating AI investment proposals, providing a structured approach to due diligence in an increasingly crowded AI marketplace.