AI adoption is high. ROI is low.
According to the WSJ, 78% of companies are now using AI in at least one function.
But most are seeing less than 10% in cost savings and under 5% in revenue growth.
Why?
Because too many AI initiatives start with tools, not outcomes.
🔹 Dashboards get chatbots
🔹 Help desks get LLMs
🔹 Everyone gets ChatGPT
But nothing changes in how work is planned, measured, or delivered.
To drive actual returns, the article recommends what many of us in the Atlassian ecosystem already understand intuitively:
→ Break down work into AI-eligible tasks.
→ Align those tasks to real KPIs.
→ Scale through orchestration, not silos
A real-life success story?
1-800Accountant replaced routine advisor calls with AI agents that now resolve 65% of customer questions—because they rethought the process end-to-end
As Atlassian Solution Partners, we sit at a critical intersection. We help teams scale how they work, not just what they use.
If your clients are trying to get more from AI within Jira, Confluence, or beyond, the next step isn’t another model—it’s clarity in the process.
That’s why, at Wisary, we focus on aligning product teams before automating them. Because without structured, meaningful inputs, AI can’t deliver meaningful results.
Let’s help teams shift from intuition to transformation.
Ala _Wisary_
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