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Charting the Course for 2026: What 2025 Taught Us About Data, AI, and Smarter Planning

In 2025, AI dominated headlines. But beneath the hype, something more important happened.

Organizations stopped treating data and AI as experiments — and started treating them as infrastructure. Planning shifted from static exercises to living systems. Insight began to replace intuition. And the gap between companies testing AI and those operationalizing it widened.


As this year comes to a close, at Interloop we’re already looking ahead. The best 2026 strategies won’t start with spreadsheets. They’ll lead with trusted data, contextual intelligence, and systems designed to adapt in real time.


Here’s what 2025 revealed for us — and how forward-looking leaders should be thinking about what's to come.


2025: The Year Data Foundations Finally Got Real


For years, organizations talked about becoming “data-driven.” In 2025, that conversation matured.

Mid-market leaders stopped asking whether they needed better data foundations and started asking how quickly they could get to insight that actually supported decision-making. The problem wasn’t a lack of tools — it was fragmentation, latency, and inconsistency.


In response, Interloop expanded its Data Foundation and Fast Dash offerings to help clients unify their data and deploy dashboards rapidly using Microsoft Fabric. The goal was simple: accelerate time-to-insight without sacrificing trust, governance, or clarity.


This shift was on full display at Fabcon Las Vegas, Microsoft Fabric’s premier event. There, Interloop showcased real-world use cases demonstrating how modern data foundations and rapid dashboard deployment can move organizations from raw data to decision-ready insight faster than ever. The conversations weren’t theoretical — they were grounded in execution, scale, and business outcomes.


2025 made one thing clear: strong data foundations are no longer a prerequisite for innovation — they are the innovation.


From Insight to Action: AI Enters the Planning Cycle


As data foundations strengthened, the role of AI evolved.


In 2025, AI began moving out of isolated analytics environments and into the workflows where decisions actually happen. Leaders weren’t looking for novelty — they were looking for relevance, speed, and context.


That shift led Interloop to launch its Custom Copilot Kitted Offering: tailored AI copilots designed to integrate seamlessly into client workflows. These copilots weren’t built to replace human judgment, but to enhance it — automating routine analysis, surfacing insights at the moment of need, and delivering personalized intelligence at scale.


At the same time, Interloop leaned into its role as Customer Zero, adopting Microsoft’s vision for Becoming Frontier early. By implementing emerging IQ innovations — including Work IQ, Fabric IQ, and Foundry IQ — Interloop embedded contextual intelligence, semantic data layers, and secure AI grounding directly into its own operations.


Our takeaway from 2025? AI delivers value not when it’s impressive, but when it’s embedded.


Becoming Frontier: What It Actually Takes


The idea of becoming a “frontier firm” gained traction in 2025 — but the reality proved more nuanced than marketing headlines suggested.


Frontier organizations aren’t defined by how many models they deploy or how quickly they adopt new tools. They’re defined by how effectively intelligence is grounded in trusted data, governed at scale, and aligned with business context.


Through its work as Customer Zero and with clients across industries, Interloop saw firsthand that becoming frontier requires more than experimentation. It requires semantic layers that make data understandable, architectures that make lineage transparent, and AI systems that are secure, explainable, and actionable.


It requires bringing people along — empowering teams to use data and AI for strategic planning, not just reporting. In 2025, Interloop focused on empowering others to become frontier firms, guiding clients to leverage their data and AI capabilities for competitive advantage and long-term resilience.


Frontier isn’t a destination. It’s an operating model.


Scaling What Works: Partnership as a Force Multiplier


As demand for intelligent planning accelerated, so did the need for scale.


In 2025, Interloop joined forces with Atlantic Tomorrow’s Office, strengthening its market presence and expanding its ability to deliver Data & AI services at scale. The partnership reinforced Interloop’s leadership in Microsoft-powered solutions while ensuring clients could access the depth, continuity, and operational support required for long-term success.


This wasn’t about changing direction — it was about extending reach. The challenges organizations face in 2026 won’t be smaller than those of 2025. They’ll be more complex, more interconnected, and more dependent on intelligent systems that can grow with the business.

Scale matters — not just in technology, but in execution.


Looking Ahead to 2026: When Planning Becomes Predictive and Proactive


If 2025 was the year organizations operationalized data and AI, 2026 will be the year planning becomes predictive and proactive.


Forward-looking leaders are already rethinking how they forecast, allocate resources, and adapt to change. Predictive analytics are replacing static projections. Copilot-style tools are supporting real-time decision-making. Unified data models are turning annual planning cycles into continuous, responsive systems.


In 2026, strategy won’t live in spreadsheets. It will live in platforms that connect insight to action — dynamically, securely, and at scale.


The organizations that succeed won’t be those with the most data, but those with the clearest signal. Those that planned not just for growth, but for clarity, speed, and adaptability.



The Bottom Line: Trust Moves Business Forward


You don’t need more data dumps or dashboards — you need data you can count on.

In 2025, organizations learned what it takes to operationalize data and AI. In 2026, that foundation becomes the engine for smarter, faster planning. When teams trust the numbers, decisions accelerate, strategies sharpen, and AI moves from buzzword to business engine.


Interloop builds that confidence into the architecture — keeping every insight aligned and every decision on course. As planning evolves from static to predictive and proactive, trust remains the true north.


Ready to chart your course in the new year? Get looped in today. 




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