Signal | for Gloat
An AI-powered insights system designed to help enterprises understand the real impact of AI on work.
The product enables leaders to identify high-impact automation opportunities, quantify AI value, and redesign roles and processes for the new AI era. Instead of focusing on AI adoption, it focuses on how work actually changes when AI is introduced
The Challenge:
Organizations are investing heavily in AI, yet struggle to translate those investments into clear decisions
They lack:
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Visibility into which tasks and roles are truly impacted by AI
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A reliable way to quantify AI value beyond pilots
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Tools that support evolving, hybrid roles rather than static job definitions
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A clear path from AI insights to real organizational action
As a result, AI remains abstract, difficult to trust, and disconnected from day-to-day work
The Process
The product was shaped through continuous user research and close design partnership
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Ongoing interviews with executives, HR leaders, and mid-level managers to understand how AI impact is evaluated and where trust breaks down
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A live, on-site design thinking session with Grab in Singapore, focused on mapping real work processes and exploring how AI reshapes task ownership
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A key insight from the session was the need to move from role optimization to process redesign in the AI era
The Solution
A connected AI Insights product that helps organizations:
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Orchestrate human–AI collaboration by mapping how tasks, roles, and skills evolve when AI is introduced
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Identify high-impact automation opportunities based on task volume, cost, and AI suitability
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Move from insight to execution through integrated tools for task automation, job restructuring, and role transformation
Instead of a single dashboard, the solution functions as an ecosystem that turns AI insights into concrete decisions about how work gets done.
Insights About This Product
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AI value is only trusted when insights are explainable and actionable
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Dashboards alone don’t drive change - users need clear next steps
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Role-based thinking breaks down in the AI era; process-based design scales better
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Designing AI systems is as much about organizational change as it is about UX
