Veridian fixes the data and governance foundation regulated organizations need before AI — and hands your board a plan it can stand behind. Built by a practitioner who carried regulated data for 18 years, not a strategist who leaves before execution.
Healthcare · Financial services · Government · Education · Real estate
The pressure to "do something with AI" is exactly the condition under which expensive, irreversible mistakes get made. The pattern is consistent across every regulated vertical.
Data spread across systems with undocumented lineage. Every AI initiative built on it inherits the same cracks — and pays the foundation tax again.
When the board, an auditor, or a regulator asks "how do you know this is safe?" — silence. In healthcare and financial services, that silence is exposure.
Somewhere in the organization, someone is testing an AI tool against live regulated data right now — with no governance around it. That's the landmine.
A structured sequence that takes you from "we think we should be doing AI" to a board-ready, defensible plan grounded in the reality of your data.
An honest, evidence-based map of your data, lineage, governance, and AI exposure as they actually are today.
Where the foundation cracks: the specific gaps that would cause an AI initiative to fail, leak data, or fail an audit.
The cost of inaction modeled in dollars — carrying cost, foundation tax, remediation, and regulatory tail risk.
A sequenced remediation and AI-readiness roadmap, ranked by value, risk reduction, and feasibility.
Board- and audit-ready artifacts: the governance posture, the plan, and the proof it was reasoned, not improvised.
The method is the product — repeatable, documented, and built to produce the same rigor every time.
Over roughly 90 days, Veridian runs the full Foundation-First Method inside your organization and hands you the foundation — and the plan — to move on AI with confidence.
Scored assessment across data, infrastructure, governance, people, and risk — benchmarked to regulated-industry practice.
Your organization's specific exposure quantified in dollars, suitable for board presentation.
Prioritized remediation and AI-readiness plan with owners, effort, and expected value per item.
The first defensible AI-governance artifacts: policy scaffold, data-handling posture, decision log.
A credible, evidence-backed answer to "where do we stand and what's the plan?"
If, within the first 30 days of the Sprint, you don't believe the engagement is on track to deliver real value, end it and receive a full refund of fees paid to date. No questions asked.
By the end of the Sprint, the Roadmap will identify and document attributable, baselined opportunity worth at least 3× the Sprint fee — or Veridian keeps working at no additional cost until it does.
A guarantee is a two-way agreement. Both guarantees apply while you uphold three commitments defined in the Statement of Work: provide the agreed data access, name an internal metric owner, and meet client-side milestone dates. Veridian guarantees its deliverables, its rigor, and the economic case — validated by your own people.
Most AI advisors are technologists who have never carried a regulated data environment, or strategists who deliver a roadmap and leave before anyone has to execute it. Veridian is neither.
Veridian is led by a practitioner who spent 18 years building and running data and AI inside a regulated health system — Snowflake, Salesforce Health Cloud, production ETL, governance, and the daily reality of moving sensitive data under compliance constraints.
The AI Readiness Index scores you across five dimensions — data, infrastructure, governance, people, and risk — and places you on the readiness curve. Fifteen questions. An honest answer.
A 30-minute discovery call. No pitch until we both know there's a fit — and if there isn't, you'll leave knowing more about your exposure than you came with.
Book a discovery call