AI value doesn’t have to be elusive. AI that produces real business value at enterprise scale requires one thing: context. By grounding AI in trusted and connected enterprise data, organizations can move beyond experimentation and deploy AI with greater confidence. Infoverity designs the AI strategy, implements the solution, guides the adoption, and fixes the data underneath, all in one engagement. Your organization gets AI that works, not a pilot that proves a concept and stalls.
The models are good. The tools are available. And yet most enterprise AI programs are delivering far less than expected. When projects stall or fail to scale, the diagnosis is nearly always the same: you cannot build reliable AI on top of unreliable data. Most organizations know this. Far fewer have a plan to fix both problems at once.
Infoverity is a Data & AI strategy and implementation firm. We scope use cases, design and deploy AI solutions that automate real business decisions. What separates our work from a standard AI consultancy is that we also build and govern the data foundation underneath it. MDM, Data Governance, Data Quality, integration. The power of our combined expertise in Data & AI is the reason our AI solutions deliver value at enterprise scale.
All of the critical Data & AI capabilities. One firm that delivers all of them, so your AI investments achieve the results and ROI your business demands.
We define your AI use cases, assess feasibility and ROI, build the models, and deploy them into production. Every engagement includes the data work required to make the AI reliable, not as a separate phase, but as part of the same program. Explore our AI services→
Cloud data platforms, BI enablement, and AI pipelines built on governed data. From data lake and data warehouse architecture to self-service analytics and trustworthy context delivered to your AI models -- we enable your business with data-driven solutions to drive real business value. Explore our Data Intelligence services→
A single authoritative, 360-degree view of every customer, product, supplier, asset and location. Your AI models draw from this mastered data to gain the context needed for accuracy. The business relies on this to enhance customer experience, support product marketing and order management, and effectively manage suppliers. Without this data foundation, trust erodes. Explore our MDM services→
What your business stakeholders and AI agents have in common, is that they all need information they can trust. That means information that's governed, connected, and contextual to your business. We define the governance strategy and processes, implement the tools and data quality rules, and enable the workflows that keep data accurate at enterprise scale. Explore our Data Quality services→
Personalization and journey automation only perform at scale when the critical customer and transactional data is clean, unified and governed. We provide expert advisement on the strategy, use cases, MarTech architecture and imlementation of the tools to deliver what modern marketing teams need to succeed. Explore our Marketing Technology services→
AI and technology adoption fails as often from people and process resistance as from technical gaps. We manage the change program alongside the implementation, so new capabilities get used rather than shelved.
Infoverity led three consecutive phases: enterprise data strategy, full implementation of Informatica Customer 360 MDM SaaS, and ongoing operational services. The result is a single authoritative customer record: deduplicated, address-validated, CCPA-compliant, and delivered reliably to every system that depends on it. LLM-assisted processing now handles stylist merge feedback at scale, putting AI to work on the operational data quality that keeps the platform accurate day to day.
We have in-house experts who have delivered data and AI programs across the majority of industry verticals. Each one has its own complexities, regulatory environment, and use cases that require world-class data and AI solutions. We cover all the bases.
Patient risk stratification, readmission prediction, and network leakage detection are only as good as the patient and provider data feeding them — and in most health systems, that data is scattered across EMRs and credentialing platforms. Infoverity helps healthcare organizations govern, integrate, and deploy AI on that data, the kind of work that delivered 80% to 90% faster patient onboarding for VirtuAlly.
Every acquisition, every new plant, adds another version of the same product, customer, or supplier record. Infoverity helps manufacturers consolidate, govern, and customize the master data platforms behind automated catalog publishing and digital shelf enablement, the same approach behind more than 70 million master records managed for one global manufacturing and distribution client.
A sales rep with an unavailable SKU and no fast way to find the substitute is a lost sale, in real time. Infoverity designs, implements, and integrates the product master and AI platforms behind cross-reference engines, standardized catalogs, and automated supplier onboarding, the kind of work that took Patterson Companies from three publishing cycles a week to same-day.
Fraud models throw false positives and regulatory reports need manual fixes for the same underlying reason: entity data that doesn’t reconcile across systems. Infoverity advises on and delivers the governance and lineage platforms financial services AI depends on, work that produced $64M in new earning assets from a single customer data platform engagement for Extraco Banks.
Fraud detection in claims, underwriting automation, and customer lifetime value calculation all depend on one thing: knowing with certainty who each policyholder is, across all their policies and claims. Infoverity helps insurers strategize, implement, and govern the master data and governance platforms that provide the answers, such as the kind of solution that consolidated five duplicated data sources into one governed policyholder view for Wawanesa Insurance.
AI agents are starting to browse and buy on customers’ behalf, reading structured product data the same way personalization and demand-sensing models read customer data. Infoverity helps retailers implement and govern the master data and AI platforms that keep both channels reliable, the same approach that cut duplicate customer records by 30% across 4,400+ locations for Great Clips.
Practical thinking from the practitioners who run these programs. No generic frameworks, just what’s actually working at enterprise scale
BLOG ARTICLE
What enterprise organizations need to do before AI investments can deliver reliable, scalable results — written by the practitioners who run these programs. Read→
BLOG ARTICLE
Five steps to overcome the most common implementation hurdles when deploying AI at enterprise scale — from use-case selection to a production model your business can rely on. Read→
BLOG ARTICLE
Effective data management requires a centralized repository. Data lakes and data warehouses are two common solutions to achieving this. So…data lake vs data warehouse? Read→
BLOG ARTICLE
How the data platform is evolving to support autonomous AI workflows — and what your architecture needs to look like before agentic AI can run without human intervention. Read→
Ready to build an AI strategy on data that actually works?
We start with where you are: your current AI investments, your data estate, where the gaps are. In 30 minutes, you get a clear view of what’s holding your programme back and what a practical next step looks like.
No obligation — a 30-minute conversation to understand where your AI and data strategy stands and where it could go.
