Too Much Data. Not Enough Decisions.
Transforming fragmented sourcing intelligence into a connected enterprise decision ecosystem.
Overview
Enterprise sourcing teams operate in environments overloaded with research, benchmarks, reports, vendor insights, and operational complexity.
Yet despite the abundance of information, decision-making often remains slow, fragmented, and dependent on manual interpretation.
This concept explored how the a global technology research and advisory firm for their Decision Support Platform (DSP) could evolve into an AI-powered enterprise intelligence experience that helps teams move from information overload to confident decision-making.
What was the problem?
Users across procurement, sourcing, and advisory teams struggled with:
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Disconnected research systems
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Inconsistent workflows
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Difficult search experiences
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Low visibility into real-time provider intelligence.
Critical information often existed across multiple platforms and static reports, making it difficult for teams to:
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Compare vendors efficiently
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Identify emerging risks
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Validate decisions
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Or move quickly during sourcing cycles
The operational burden reduced strategic focus and increased dependency on analysts for routine information retrieval.
What was the design opportunity?
The challenge was larger than improving dashboards.
The opportunity was to rethink how enterprise intelligence is discovered, interpreted, and operationalised across the sourcing journey.
The experience needed to:
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Simplify research discovery
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Create clearer decision pathways
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Improve information confidence
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Make enterprise insights feel actionable rather than overwhelming
What did I do?
I designed the future-state experience by combining workflow strategy, AI-assisted interactions, and enterprise UX thinking into a unified decision ecosystem.
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Reframed fragmented sourcing workflows into a connected enterprise decision ecosystem.
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Defined future-state experiences for procurement, sourcing, and advisory personas operating across complex enterprise environments.
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Designed AI-assisted workflows that transformed information retrieval into guided decision-making experiences.
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Simplified dense enterprise intelligence through improved information architecture and contextual prioritisation.
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Explored conversational interfaces and explainable AI patterns for enterprise research and sourcing activities.
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Developed experience concepts that connected research discovery, provider intelligence, and business action into a unified workflow.
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Collaborated with stakeholders to shape an Art of the Possible vision for the next generation of enterprise sourcing intelligence.
Experience Vision
The proposed experience introduced:
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AI-assisted search
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Contextual recommendations
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Conversational intelligence
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Role-based workflows
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Unified sourcing dashboards
Users could navigate complex enterprise intelligence through a more natural, guided experience instead of relying on fragmented reports and disconnected systems.
The platform aimed to shift sourcing workflows from reactive research consumption toward proactive decision enablement.
Design Opportunity
The challenge was larger than improving dashboards.
The opportunity was to rethink how enterprise intelligence is discovered, interpreted, and operationalized across the sourcing journey.
The experience needed to:
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Make enterprise insights feel actionable rather than overwhelming
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Create clearer decision pathways
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Improve information confidence
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Simplify research discovery
UX Thinking
The design strategy focused heavily on:
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Information architecture
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Enterprise workflow simplification
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Cognitive clarity
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Define the future state
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Decision confidence
The experience balanced:
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Dense enterprise data
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Multi-role usability
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Explainable intelligence
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AI-assisted recommendations
Special attention was given to reducing friction between research discovery and business action.
What Makes This Interesting
This project explored how UX design can shape strategic decision-making within enterprise ecosystems.
Rather than designing another analytics dashboard, the work focused on how AI, workflow orchestration, and human-centered design can help organizations think more clearly at scale.
What's Next
Future opportunities included:
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Predictive sourcing intelligence
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Collaborative decision workspaces
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Generative executive summaries
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Proactive provider risk alerts
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AI-powered procurement copilots
The long-term vision was to evolve the DSP platform into a living enterprise intelligence layer across sourcing operations.