What Active Intelligence means for Insights and Research Leaders 

For most VP and Head of Insights roles, the core frustration is not a shortage of insight. It is a persistent gap between the quality of the work their teams produce and the influence that work actually has. Research sits in portals. Findings age before they circulate. Business partners make decisions without connecting them to evidence that exists somewhere in the building. 

Active intelligence is built to close that gap, not by adding more research capacity, but by changing how intelligence moves through an organization. Here is what that shift means in practice for insights and research leaders. 

The insights function is being redefined. Are you ready to lead that change?  

The role of the insights function is evolving. Business partners increasingly expect on-demand answers to market and consumer questions, not commissioned studies delivered on a 12-week cycle. At the same time, the volume and variety of available data (from digital signals and sales analytics to social listening and syndicated research) has grown faster than most teams’ ability to synthesize it. 

The result is a function under pressure from both directions: expected to produce more, faster, while managing a broader and more complex data landscape with largely unchanged tools and headcount. Active intelligence does not solve this by adding analysts. It changes the system those analysts work within. 

From retrieval to strategy: what changes for your team 

In most insights functions today, a significant proportion of analyst time goes to retrieval and synthesis work that is, in principle, automatable: finding what the organization already knows, combining it with fresh data, formatting it for a new audience, and distributing it to a business partner who needed it last week. 

When an active intelligence system is in place, business partners can self-serve answers to routine questions like “what do we know about Gen Z purchase drivers in this category?” without raising a research request. The insights function’s time reorients toward the work that genuinely requires human expertise: designing research, interpreting ambiguous signals, challenging assumptions, and advising on strategic decisions. 

The function does not shrink. It becomes more valuable, and that value becomes legible to the business in a way it rarely is today. 

Always-on tracking replaces periodic snapshots 

Active intelligence systems monitor relevant signals continuously. When something changes: a competitor repositions, a consumer sentiment shift emerges in a new market, a regulatory development affects category dynamics. The insight surfaces in real time, routed to the team or individual best placed to act on it. This does not replace structured research. It complements it by filling the gaps between formal tracking cycles. 

Eliminating the hidden cost of duplicated research 

In large enterprises, research duplication is endemic. A team in one market commissions a consumer segmentation study. A team in another market commissions a near-identical one six months later, unaware the first exists. Across a global organization, the cumulative cost of this duplication runs into the millions annually. 

Active intelligence addresses this directly. A unified knowledge base means that when a team asks a question, the system surfaces what already exists before any new spend is committed. 

Knowledge gaps surface automatically — so you invest where it matters 

A well-configured active intelligence system tracks which questions are being asked repeatedly without satisfactory answers, identifies where the organization’s coverage is thin, and surfaces these gaps proactively. Budget goes to the questions that genuinely need answering, not to the studies that are easiest to commission. 

The insights leader’s role in an active intelligence system 

Deploying an active intelligence system is not a passive process for the insights function. The quality of the system depends on the quality of its configuration: which sources are trusted, how they are weighted, what signals are monitored, and how findings are routed. Insights leaders who approach this as architects build a function that operates at a fundamentally higher level. The AI handles scale and speed. The human expert handles judgment. 

▶  See how insights leaders at Mars, Novartis, and Unilever are transforming what their function delivers.