The Infoverity team were true partners in our implementation. Their deep expertise in the Informatica platform was invaluable, but what truly set them apart was their collaborative spirit and commitment to our success.
Banks and financial institutions are investing in AI programs. Most are finding that the data feeding those programs was never built to support them. Infoverity helps financial services organizations build the governed data foundation that makes AI reliable, auditable, and ready to scale.
Financial institutions invest heavily in AI programs while the data feeding those programs remains fragmented, duplicated, and inconsistently defined across lines of business. That is what causes fraud models to generate false positives, regulatory reporting to require manual intervention, and AI pilots to never make it to production. Infoverity addresses both the data foundation and the AI programs built on top of it. We have delivered hundreds of projects across financial services spanning MDM, data governance, data quality, integration, and AI implementation.
We bring both the industry context and the technical depth that financial services AI requires: from entity governance and regulatory lineage to production model deployment, under one team.
Most firms separate AI implementation from data management, then struggle when the two do not connect in production. Infoverity does both. We govern the data first, then build the AI programs on top of it. That sequence is what makes the difference between a pilot and a program that scales.
AML, KYC, and GDPR all require complete, traceable data. We embed lineage and auditability from day one rather than retrofitting them later. When a regulator asks how an AI decision was made, you can answer with evidence, not approximations.
Model drift is almost always data drift in disguise. Infoverity's data quality, governance, and integration programs establish the monitoring and stewardship layer that keeps AI outputs reliable in production. We have operationalized this across data quality rules, integration pipelines, and MDM implementations for financial services organizations of all sizes.
Infoverity scopes every engagement against business outcomes measured in revenue, cost reduction, and compliance improvement, not technology milestones. Every financial services engagement starts with the same question: what does success look like in the business, and what work gets you there?
Banks and financial firms face challenges ordinary tools simply can’t solve. Infoverity’s specialized solutions remove the complexity, quickly turning fragmented data into actionable insights:
Fraud and AML models need consistent, unified entity data across every system and channel. When the same entity appears differently across platforms, AI produces conflicting outputs that inflate compliance cost. We have reduced duplicate entity records by over 36% for a major US bank, giving risk and compliance teams a single reliable source to reason from.
When AI teams spend most of their time cleaning inputs rather than improving outputs, the bottleneck is governance, not capability. We have replaced legacy ETL implementations for financial services organizations, reducing integration job run times by 25%, and built reusable data quality rule libraries that eliminate manual remediation backlogs.
A pilot environment can be curated. Production cannot. Organizations that fail to scale AI almost always treated data readiness as something to address after the model was built. We flip that sequence: assess data readiness first, identify the gaps that will break production, and fix them before go-live rather than after.
Inconsistent AI results are almost always a data problem, not a model problem. Our AI Strategy and ROI Analysis engagement, typically two to four months, identifies your highest-impact use cases, assesses your data against what each one requires, and produces a quantified ROI estimate with time-to-first-value metrics your board can act on.
Learn how Infoverity delivered a full CDP implementation creating a single unified view across all lines of business, replacing manual campaign list-pulls with automated segmentation and journey orchestration.
Six integrated capabilities. One firm that delivers all of them, so your AI investments don’t fall into the gap between a data team and an AI team.
Know exactly where your data stands before committing to an AI program. A structured assessment against your specific use cases, with a prioritized roadmap and quantified ROI estimate delivered in four to eight weeks.
One governed, deduplicated entity record across all lines of business and systems. For a major US bank, we reduced duplicate account holder records by 36% and established the golden record foundation that now feeds their CRM and AI-driven customer journey programs.
Move from account-centric to entity-centric data. Infoverity delivers CDP programs across banking, loans, wealth management, and insurance, including the engagement that produced 60,000 unified profiles and $64M in new earning assets for Extraco Banks.
AI and data governance are converging in financial services. We have advised C-suite executives at major US banks on governance strategy following mergers, building the stewardship frameworks and data quality controls that regulators require. We build programs that cover both, from data ownership and lineage to the auditability that regulators require when an AI decision is challenged.
Clean, consistent data is the prerequisite for every AI program and every compliance process. For one investment management firm managing hundreds of billions in assets, we replaced a manual data validation process with a reusable rules library and automated remediation workflows, eliminating the backlog that was blocking downstream AI and reporting systems.
From descriptive reporting to predictive intelligence, on a data foundation you can trust. We have modernized integration architectures for financial services organizations running dozens of batch processes and hundreds of real-time pipelines, reducing job run times by 25% while maintaining the SLAs that banking operations require.
Ready to address AI and data challenges and transform your Financial Services operations?
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