AI ready blueprint: succeed before you start (43 chars)
AI Ready Blueprint: Where to focus for AI success
Why are most AI projects failing?
Right now, organisations worldwide are making the same expensive error: implementing AI projects without asking the right questions before they begin.
Over 50% of generative AI projects are failing, with at least 30% likely to be abandoned after proof of concept by the end of 2025.¹
Companies invest $5-20 million developing custom models, plus $8,000-$21,000 per user annually² — only to discover their initiatives cannot scale beyond pilot programmes.
But AI isn’t to blame.
The difference isn't choosing the technology.
It's asking the right questions before you begin.
Through extensive client implementations across every major cloud platform, SoftwareOne has identified six strategic questions that measurably separate AI successes from expensive failures. Get these questions right, and you could join the successful minority enjoying substantial business advantages from their AI deployments.³
Six questions that answer (almost) everything
Are you implementing AI for AI's sake, without clear business objectives?
Is your data trapped in legacy systems?
How good (or bad) is your data quality?
Do you have governance frameworks in place to protect your data and optimise your budgets?
Have you selected business line champions to identify specific operational challenges and drive solutions forward?
Do you understand why strategic sequencing is a better implementation strategy for many AI deployments?
AI: Succeed before you start
SoftwareOne's systematic approach to AI readiness has guided successful implementations across many industries, consistently transforming AI potential into measurable competitive advantage. Rather than joining the statistics of failed AI projects, organisations can leverage proven frameworks to flatten the AI learning curve and achieve sustainable success. The choice is clear: systematic preparation or expensive disappointment.
Start building your AI ready blueprint. Today.
Essential insights for busy leaders
Key insights, critical statistics, and actionable next steps distilled into a quick-read format you can review this week.
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Explore these questions in the context of your own organisation’s individual plans and projects.
References
¹ A third of all generative AI projects will be abandoned, says Gartner, ZD Tech Today;
The wrong ways to implement AI: Learning lessons from others' mistakes, SoftwareOne
² Gartner via TechRepublic, 2024
³ Superagency in the Workplace, McKinsey, 2025
