Emtech launches QMT Oracle to turn enterprise system knowledge into AI-ready conversations
Emtech unveiled QMT Oracle at ITC Vegas 2026 on Sept. 29, 2026, positioning the new System Intelligence capability as a way for insurance carriers and Insurtechs to access trusted enterprise system knowledge through a conversational interface. The launch aims to help teams modernize faster, validate changes more confidently and ground AI in a deterministic view of how complex systems actually work.
Why it matters: - Insurance carriers and Insurtechs are pushing into AI, but fragmented system knowledge can limit reliability and decision-making. - QMT Oracle is meant to turn enterprise system knowledge into a conversational layer that supports modernization, change analysis, compliance, onboarding and other operational work. - The product is designed to give business and technology teams a more trusted way to understand system dependencies before they make changes.
What happened: - Emtech announced QMT Oracle at ITC Vegas 2026 on Sept. 29, 2026. - QMT Oracle is a new System Intelligence capability within the QMT platform. - The capability lets users explore a Digital Blueprint, understand how enterprise systems operate and surface insights for faster delivery and more confident decision-making. - Emtech says QMT Oracle is aimed at insurance carriers and Insurtechs.
The details: - QMT sits on Emtech’s patented Deterministic Knowledge Graph technology. - That technology creates a Digital Blueprint, which Emtech describes as a machine-readable representation of an enterprise system. - The Digital Blueprint captures relationships among workflows, business rules, data, integrations, dependencies, execution results and business outcomes. - QMT Oracle converts that structured knowledge into a conversational knowledge layer for System Intelligence and enterprise AI. - The product grounds answers in the Digital Blueprint rather than relying only on probabilistic AI to infer how a system works. - Emtech said the Digital Blueprint was originally built to improve software quality engineering, testing and quality processes. - The company said QMT Oracle extends that foundation into application modernization, change impact analysis, compliance validation, onboarding, business analysis, customer support, integration planning and enterprise decision-making. - For carriers, QMT Oracle is designed to connect complex products, underwriting rules, regulatory requirements, customer journeys, APIs, databases and legacy platforms. - The system is intended to help teams understand how those elements relate, assess the impact of change and make decisions about modernization, software quality and AI adoption. - Emtech said users can ask questions such as which workflows a rule change affects, what information a customer journey needs, which integrations depend on a field, which tests validate a process and what failures occurred in the latest execution. - Company website: Emtech
Between the lines: - Emtech is betting that AI tools work better when they are anchored to a deterministic model of enterprise systems instead of only pattern-based inference. - The pitch reflects a broader enterprise AI challenge: organizations want faster answers, but their operational knowledge often lives in disconnected documents, code, diagrams and people’s heads. - For regulated industries like insurance, a system that links business rules to technical dependencies could reduce uncertainty around change and compliance.
What's next: - Emtech said QMT Oracle will be used to help carriers and Insurtechs build a more connected understanding of their systems. - The company expects that connected knowledge to support faster, more informed decisions about change, modernization and AI adoption. - Emtech will continue positioning the QMT platform as a foundation for autonomous testing, continuous validation, modernization and System Intelligence.
The bottom line: - QMT Oracle is Emtech’s attempt to make enterprise system knowledge usable by AI without losing the structure and trust needed for insurance operations.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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