AI is only as good as the data behind it, and most organizations aren't as ready as they think.
Every leader we talk with is already experimenting with AI. The harder question is whether the data underneath it can be trusted. Disconnected systems, manual spreadsheets, unclear data ownership, and inconsistent numbers make it hard to make decisions today and even harder to scale AI responsibly tomorrow.
Eide Bailly's Data & AI team helps financial, operational, and technical leaders build the data strategy, infrastructure, and governance that turn scattered information into a trusted, single source of truth. From data warehousing, integration, automation, and analytics to AI advisory and agentic deployment, we combine hands-on technical expertise with the guidance to keep security, governance, and best practices at the center of every decision.
We'll take care of your data — and help you build the foundation that makes AI actually work — so you can take care of business.
What We Offer
| Planning | Execution | Ongoing Management |
|---|---|---|
| Understand where your data stands and decide what to tackle first. | Build the foundation, connect your systems, and put AI to work. | Keep it secure, trusted, and improving after launch. |
Data Strategy & Assessments
AI Strategy & Agentic Deployments
Analytics & Business Intelligence
Data Centralization & Warehousing
Data Governance & Security
Integration & Automation
Managed Data & AI Services
Not sure where your data stands — or what AI can realistically do for you? Let's have a conversation about your goals, your data, and the right next step.
Talk to a Data & AI Specialist
Most organizations are already experimenting with AI. The bigger question is whether the data underneath is ready to support it. In as little as 10 questions, get a clear snapshot of your data structure, security posture, and AI readiness.
Take the AssessmentPartners
With our suite of partners, we can implement solutions that support the most critical business functions of your organization.
What Sets Eide Bailly Apart
We help you make data and AI work in the real world with the context, independence, and cross-functional expertise to turn ambition into measurable business value.
Deep Data and AI Experience:
Our data, analytics, and AI consultants bring a rare concentration of hands-on experience helping organizations understand their data, connect it to business priorities, and build solutions that work beyond the pilot phase.
Vendor-Agnostic Guidance:
We work across the leading data and AI ecosystem solutions, including Microsoft, Salesforce, Anthropic, Snowflake, Tableau, and others, so our recommendations are based on what fits your organization, not a vendor exclusivity agreement.
Analytics, AI, Security, and Business Context Together:
Analytics and AI without security create risk. Analytics without understanding of business and industry creates dashboards that go unused. We bring data, cybersecurity, integration, and industry specialists together so your data strategy is secure, practical, and tied to the reports, workflows, and use cases that matter most.
Security Embedded from the Start:
Our cybersecurity team can assess your environment, tenant configuration, access controls, and governance model alongside your data and AI roadmap, helping ensure new tools are deployed responsibly and with the right protections in place.
Deep Data and AI Experience
We understand the metrics, reports, and operational decisions that matter in industries like manufacturing and distribution, construction, and healthcare. That means we can help you identify not only what you can build, but what you <em>should</em> build to stay competitive.
Ready to turn data chaos into clarity — and build the foundation that makes AI work?
Client Case Study
“Every time we make a decision, we check the dashboards to make sure our decision is supported by the data.”
“Every time we make a decision, we check the dashboards to make sure our decision is supported by the data.”
The Challenge
The Challenge
The Strategy
The Strategy
The Impact
e-BookStrategies to Become a Data-Driven Company
Uncover the data challenges facing organizations across industries and the actions leaders can take to become a truly data-driven enterprise in the Age of AI.
Wherever you are in your data and AI journey, Eide Bailly can help.
Let us handle your data so you can handle your business and build the foundation that makes AI actually work.
Data Leadership
Nathan McMurtrey
Partner, Data Analytics Practice Leader
Nathan believes every company can be a data company. As a partner at Eide Bailly, he leads the firm's Analytics practice in reaching that vision. Previously the CEO and founder of Xerva, a business intelligence company located in Orem, Utah, his educational background is in accounting where he first learned that accounting is really just an exercise in organizing data. Nathan loves to watch data transform businesses and go from being a liability to an asset.
Scott Adams
Partner
Scott leads a team that automates business reports. Rather than manually exporting data from systems to analyze them, they connect directly to them and schedule an automated extract. Then, they apply all the business logic needed to create a single-source-of-truth containing all relevant data for the client to report on, integrate with other systems, perform data science and more. They also provide report writers and data scientists to close the circuit on an end-to-end BI solution.
Nate Allphin
Partner
Nate has 20 years of experience in the data and analytics world. His career started as a data analyst and he quickly came to realize that organizing and enabling companies with data was his true passion.
Frequently Asked Questions
What should I look for in an AI consulting firm?
Who can help my organization get ready for AI?
What does Eide Bailly’s Data & AI consulting team do?
Can AI work with our existing ERP, CRM, and business systems?
Why choose Eide Bailly as a data and AI consulting firm?
Does Eide Bailly provide AI consulting for middle-market companies?
Can Eide Bailly help with both data modernization and AI implementation?