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Why 96% of Companies Aren’t Seeing AI ROI: How to Fix It

Image Source: Waylon Krush

Artificial Intelligence is everywhere — from the code that powers your favorite apps to the tools writing your emails. Yet, despite the excitement, a startling truth is emerging: most AI projects areROI failing to deliver real business value.

Depending on the report, between 50% and 90% of AI initiatives end in partial or total failure. A recent Atlassian AI Collaboration Index found that 96% of companies haven’t seen organization-wide improvements from AI, even though adoption is soaring.

So, what’s going wrong?

The Overconfidence Problem: “AI Will Fix Everything”

One of the biggest challenges is overestimating how easily AI can be integrated into daily workflows. Too many organizations rush in, assuming that adding AI, large language models (LLMs), or AI agents will automatically boost performance.

Instead, they end up tangled in complexity — failing internal and external audits tied to regulation, safety, and privacy. The result: projects stall, teams get frustrated, and leadership loses faith in AI.

The reality? AI isn’t magic — it’s management.

Successful AI adoption requires careful piloting, governance, and ongoing testing. It’s not about replacing people overnight — it’s about augmenting them intelligently. So much more work can be done by someone using AI effectively…. In words it is scary how good AI is but you need to be applying it to the right problems and managing the process.

The Smart Way to Use AI: Start Small, Scale Wisely

The 4% of organizations actually seeing results have one thing in common: they build connected, collaborative systems where AI supports human workflows rather than trying to control them.

Here’s what works:

  • Pilot small tasks first. Use AI for tactical wins — automating checklists, organizing audits, generating reports, or identifying process improvements. Think about how long it use to take to build a good checklist to enhance workflows.
  • Use AI as an assistant, not an oracle. Drafting emails, visual content, or planning documents through AI is a huge time-saver with low risk. It will always tell you are right – so don’t think the compliments it gives you means you are on the right track. When in doubt use the deep research function and have it provide a bibliography of authoritative reports it used for the reporting.
  • Pair AI with expertise. Developers who understand how to fix and refine AI-generated code turn these tools into powerful force multipliers. It will develop repetitive code that took hours of their time in the past – and with the right prompt it can checks it own work and yours.
  • Collaborate through AI, not just with it. Instead of each employee using a different app or chatbot, build shared systems where AI becomes part of the team’s workflow. Create projects with your organizations forms, documents, and requirements – this allows you to get answers that make sense for your business. This is also where you should look at 3rd party security and privacy tools such as ZeroTrusted.ai to ensure you can use the tech without giving up your trade secrets or possibly breaking security or privacy regulations.

Why the ROI Gap Exists

The Atlassian report highlights a striking paradox: while workers feel 33% more productive, their work is scattered across too many tools and apps. AI is being treated as a personal productivity hack — not as a company-wide collaboration enabler.

To get real ROI, organizations need to:

  1. Centralize data and workflows so AI can act on consistent information. You can add the approved AI to your company’s internal portals – and explicitly spell out what they can be used for and what AI is not allowed.
  2. Establish governance frameworks to ensure AI decisions are secure, explainable, and compliant.
  3. Train teams continuously so they understand both AI’s potential and its limits.

The Bottom Line

AI is not failing us — we’re failing at integrating AI effectively. When used with strategy, transparency, and teamwork, it delivers enormous payoffs.

Start small. Pilot often. Audit continuously. Because the companies that learn how to work with AI — not just use it — are the ones that will turn that 96% statistic on its head.

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