Mapping the Future of Glass Innovation
AGC is a global glass and materials manufacturer seeking to systematically identify innovation opportunities across its core business units. AGC engaged Envisioning to deploy a multi-model AI scanning approach — with parallel language models, proprietary deduplication, and a custom multi-tier readiness assessment framework tailored to each business unit's strategic context.
The collaboration produced a continuously updated signals intelligence platform spanning multiple business units, each with dedicated radar visualizations, verified signal outputs, and cross-unit analysis revealing shared strategic opportunities across AGC's portfolio.
The engagement established foresight infrastructure as a core input to AGC's innovation process, integrating technology scanning, ecosystem mapping, and customer readiness frameworks.
Our Work
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Designed and deployed a custom AI-powered signals radar across multiple business units, each with dedicated scans and assessments
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Developed a three-dimensional readiness assessment framework replacing generic scoring with domain-specific indicators
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Delivered structured signal outputs with fact-checking verification scores across a 6-month innovation campaign
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Facilitated alignment workshops and customization sessions with R&D and business development teams
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Proposed follow-on stakeholder ecosystem visualization and customer readiness mapping
Impact
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Adopted across multiple business units, with cross-portfolio analysis revealing shared strategic opportunities
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Accelerated ideation cycles significantly, compressing technology assessment timelines
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Informed executive-level strategy through structured BU maturity rankings and cross-unit synergy analysis
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Renewed into a multi-phase engagement, evolving from a pilot radar into ongoing foresight infrastructure
Envisioning facilitated structured work sessions with AGC's business development and R&D teams, aligning each business unit around a shared scanning methodology, assessment framework, and research briefing process. Sessions combined live demonstration of the signals platform with collaborative customization — defining unit-specific categories, priorities, and exclusion criteria to ensure outputs were directly actionable within AGC's innovation workflow.
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