CIOs and CTOs are changing their company’s AI strategy – here’s why

AI isn’t always a silver bullet. 

And CIOs and CTOs know that – in fact, I’ve been talking with them lately about what it looks like to truly extract value from AI. 

And through these conversations, a clear theme has emerged: When individuals within organizations use and experiment with AI on a personal, ad-hoc basis, the value that’s accrued is fragmented.

One person uses ChatGPT to summarize meetings or write emails, while another uses different tech, in a different way, for a different task. And yes, on an individual level, this provides some efficiency and productivity gains — but at the organizational level, it misses the point.

In other words, when an entire team is not operating off the same playbook, there’s no unified strategy. There’s no single source of truth. And as a result, organizations fail to truly unlock the 10X productivity gain of AI.

That’s why, increasingly, CIOs and CTOs are focused on implementing AI the right way — with a unified strategy.

A unified AI strategy isn’t just better — it’s transformational.

What companies are trying to do now is drive far greater impact with AI within their organizations by going beyond individual usage on first-order tasks, and embedding the technology directly into core operating rhythms and key workflows. They’re weaving AI-driven insights and information into established processes — deal reviews, pipeline management, weekly forecasts, and so on. They’re integrating AI agents into end-to-end business processes, augmenting human expertise, and adapting to the organization’s unique needs. 

And as a result, are seeing compounded value as everyone marches to the same drum.

This is how organizations are going from individual-level value with sporadic productivity gains (less time on emails, efficient meeting summaries, etc.) to team-level value.

For example, individual-level value from AI might look like this: One SDR uses ChatGPT to write a follow-up email, and another uses a different tool to research a prospect. The value is fragmented – they operate on different data sources, different definitions of “what good looks like – and there’s no real alignment. 

Team-level value, though, looks different. With an AI platform like Gong, every single customer interaction is captured and converted into a wealth of unstructured data, from which AI insights are generated and woven directly into deal boards, coaching scorecards, and more. Everyone’s looking at the same thing. There’s a single source of truth. The team is fully aligned, and everyone knows what’s needed to move deals forward.

This unlocks a net new competitive advantage, far beyond time savings or first-order efficiencies.

But it goes further.

When companies implement a single AI platform like Gong, it’s not just sales — or any single department — that benefits from this leverage and alignment, it’s the entire organization.

More and more, CIOs and CTOs are realizing that the true competitive advantage of AI within an organization is being able to have a full view of data or insights, company wide. It’s being able to make sense of vast quantities of information in all kinds of formats.

And the reality is, there’s simply no way to scale that type of understanding by connecting the pipes of different data sources, and putting them into neatly constructed libraries or folder sums.

With deep AI and understanding that comes from a platform like Gong, every customer interaction becomes signal-rich data that can be leveraged to generate valuable insights for every department across an organization, and enable AI agents to understand business context and autonomously execute routine tasks. 

So you’re not just seeing sales move deals forward, but product teams surfacing roadmap gaps and monitoring release feedback, marketing teams tuning into what’s resonating (and what isn’t), customer success teams identifying patterns and issues before they escalate, and IT refining data policies and improving privacy and security.

This is the shift from siloed experimentation to shared intelligence. 

One system. Shared insights. Organization-level alignment.