Introduction
Behind every breakthrough in AI-driven enterprises lies a quiet force: trusted data. Not just structured but clean, compliant, transparent, and dependable data. . When data is fragmented, inconsistent, or non-compliant, it doesn’t just slow progress; it risks financial loss, reputational harm, and regulatory setbacks.
LTIMindtree’s Trusted Decisions Framework makes data not only reliable and secure, but also transparent and ready for responsible AI adoption. Whether you’re streamlining analytics or scaling innovation, trusted data becomes your launchpad for operational excellence and sustainable growth.
Trusted Decisions Framework
LTIMindtree’s Trusted Decisions is built on four mighty pillars:

Dependability
Implement robust data governance, data quality, and master data management practices.
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Security and responsibility
Protect sensitive data through privacy controls, security measures, and responsible AI guardrails.
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Approachability
Streamline data access through contracts, sharing policies, and semantic discovery.
Read MoreBusiness Impact Of Trusted Data
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40% reduction in time spent on data issue resolution. -
2x faster deployment of AI and analytics initiatives. -
35% increase in self-service analytics adoption among business users. -
Improved regulatory compliance and reduced audit risks.
Our Agentic Accelerators
- UnifyIQ
Multi-agent autonomous master data management solution catering to – validation & standardization, clustering, match / merge, un-merge and enrichment. - NavIQ
Intelligent address validation solution that automates E2E address management workflow – parsing, tokenization, validation, sufficiency analysis, cleansing, enrichment, grouping & de-duplication. - IntellAgent DQ
Multi-agent Data Quality solution with capabilities including Data Analysis, Data Profiling, Rule Recommendation, Rule Storage & Execution
- SchemaSense
Automated Schema Mapping solution for MDM migration - Next-Gen MDM
Multi-agentic solution for MDM implementation
Ready to Build Trusted Data?
Speak to our experts to kick-start your journey with a data trust maturity assessment, a 30-Day trusted fabric pilot, or an executive workshop on AI-ready data—and lay the foundation for confident, AI-powered decisions.
















