Today, most IT teams are stuck in reactive mode rather than reaching their full potential as drivers of innovation. That is according to a New Forrester Consulting Study, commissioned by Tineswhich reveals that it plays an important role in AI scaling. However, many teams are restricted by organizational barriers and limit their impact.
the study, Unlocking the full value of AI: How to adjust secure and scalable innovationexploring more than 400 IT leaders in North America and Europe to explore the challenges and opportunities they face today. We found governance and security, lack of budgets and executive sponsorships, and siloed initiatives to be the biggest blockers to stall progress on AI scaling.
Orchestration is important for connecting people, processes and tools and overcoming these barriers. However, 86% believe that AI is uniquely positioned across workflows, systems and teams, but many organizations are not yet fully aware of their role as strategic drivers.
The key role of orchestration
Companies want to enjoy the benefits of AI, such as improving efficiency, improving decision-making, and faster innovation. However, fragmented implementations of governance and gaps can be exposed to serious risks such as bias, ethical violations, impaired compliance, and shadow AI, leading to regulatory penalties and reputational damage.
Ensuring that AI solutions comply with privacy and governance regulations is a top priority More than half of the organizations surveyed (54%) Over the next 12 months. However, over a third (38%) cite security or governance concerns as the number one barrier to AI scaling.
Orchestration allows organizations to promote a compliance-first approach. This allows businesses to build governance and security into AI workflows and processes, and set it up for success as they scale their initiatives. Traditional governance processes struggle to adapt to the evolving demands of AI, but orchestration allows for greater surveillance, efficiency and flexibility.
In fact, 88% of IT leaders say that without orchestration, AI adoption remains fragmented across the organization. The lack of orchestration also exacerbates the following challenges:
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Ensure that AI practices are ethical and transparent (50%)
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Security concerns related to data access, compliance issues, inconsistent governance, auditing, and shadow AI (44%)
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Lack of employee trust in AI-generated results (40%)
A robust orchestration framework can address these important barriers. Almost three-quarters of IT leaders (73%) emphasize the importance of AI workflows and end-to-end visibility across systems. Orchestration enhances consistency, breaks down the silos, and the leader becomes:
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Align AI with business goals
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Monitor performance in real time
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Quickly address security and governance issues that arise
The result is increased efficiency, greater control and more consistent governance. Together, these demonstrate responsible AI use, build employee trust and unleash the ability to innovate.
Ready to lead AI orchestration
IT teams play an extremely important role to play in AI orchestration. The leaders who investigated:
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38% believe they need to own and lead AI orchestration
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28% consider it to be an inter-departmental coordination hub
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84% say AI initiatives are top priority in keeping them with their enterprise strategy
Orchestration offers important opportunities for deepening strategic impact. While this feature is increasingly recognized as an enabler of efficiency, 38% of IT leaders still believe it is overlooked or underrated.
They attribute this to a lack of business visibility into IT contributions and a reactive focus on troubleshooting and uptime.
AI orchestration can move from reactive to aggressive and become a strategic force. In addition to supporting operational improvements and governance standards, IT leaders say orchestration accelerates progress in key areas such as:
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Strengthening collaboration between business units
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Enables continuous digital conversion faster
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Increase employee productivity
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Reducing human error in critical processes
This removes concrete business value across the organization in the form of increased efficiency, revenue opportunities, and ROI.
However, to achieve this, this study highlights the importance of both technical and non-technical factors. While integrated platforms and no-code or low-code AI automation tools can help you take leads, executive sponsorship and cross-functional collaboration models are also important to ensure success.
Shaping the future with compliance-first AI
This study is the best organization to promote AI adoption through orchestration, giving it the visibility and control needed to safely, complexly and effectively scale AI across the enterprise. However, only by filling the gap between technical requirements and executive priorities can we reach our full potential and shape the success of our organization.
For more information about its role in AI orchestration, see Read the complete research.
