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The future of business information services

Adapting to an AI-driven industry

Business information services (BIS) providers deliver the data, analytics, and insights that power critical business decisions. But now, AI is reshaping the entire value proposition. Explore five actions leaders should consider to navigate this transformation and build sustainable advantage.

Key takeaways

  • BIS firms built their advantages on data ownership, but AI is shifting competitive value toward real-time, explainable insight embedded directly into customer workflows.
  • We determined five action fronts for providers in the industry that revolve around product innovation, pricing modernization, GTM transformation, workforce redesign, and technology infrastructure built for competitive velocity.
  • These efforts should not be isolated initiatives but part of a larger transformation that demands strategic clarity, organizational alignment, and execution at scale.

The shift from data delivery to AI-powered decision intelligence

For decades, business information services companies earned their revenue by owning relevant, curated data and controlling access to it. But now AI is redefining how that data is delivered, consumed, and valued. 

Today's customers expect more than databases and reports. They want systems that deliver insights in context and integrate seamlessly into daily decisions, with long-term support that evolves alongside their needs. 

That shift is prompting leaders to rethink what they sell, how they price it, and how their workforce adapts, reskills, and redefines value creation.

Five strategic fronts for BIS providers

Industry leaders are taking action across five interconnected fronts. Each one addresses a different dimension of the AI transformation.

AI-infused product suites are becoming the new baseline for competitive parity. Differentiation no longer hinges on who owns the most data, but on who can leverage AI to deliver insight with the most relevance, explainability, and workflow alignment. Organizations should prioritize building intelligent systems that deliver explainable, actionable intelligence in the moment of need.

AI compresses the perceived value of information and challenges legacy pricing models. Organizations should decide when to protect existing revenue and when to lean into AI-enabled disruption—adopting outcome-based, usage-driven, or hybrid models that align with customer utility.

Customer bases are expanding and diversifying. Growth depends on modular engagement, data-led personalization, and GTM “pods” that integrate marketing and sales. Organizations should shift from static campaigns to life cycle engagement built around behavior, intent, and measurable outcomes.

AI is changing how work is performed—demanding new roles, capabilities, and performance systems. Leaders in the industry will likely be the ones who build fluid, skills-based organizations that embed AI fluency, promote talent agility, and treat change management as a continuous product discipline.

Hybrid cloud, application programming interface (API)-first design, and AI-ready data architectures are becoming differentiators. Leading providers are leveraging modernization for velocity—faster product launches, compliance-aware infrastructure, and interoperable systems that accelerate monetization.

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