Intelligence. Automation. Transformation.
Cardinal AI Consulting designs, builds, and governs AI systems for enterprise and government leaders — cutting operating cost, recovering valuable staff time, and proving results against your own numbers.
Trusted for enterprise and public sector AI delivery
What we do
Every engagement is scoped to a business number — hours saved, cost per transaction, cycle time — then measured and governed. No pilots that quietly disappear.
Industries served
Federal, state, and municipal modernization with compliance built in.
Clinical operations, prior authorization, and patient experience.
Risk, fraud detection, underwriting, and client servicing.
Predictive maintenance, quality inspection, and supply chain.
Knowledge retrieval, proposal automation, and delivery insight.
Fleet optimization, routing intelligence, and safety analytics.
Leadership
Jacque “Jock” Johnson founded Cardinal AI Consulting after two decades leading technology and operations programs across enterprise and public sector organizations — the kind of environments where accuracy, security, and audit trails decide whether a system ships at all.
He works directly with executive teams to separate AI hype from the handful of use cases that genuinely cut cycle time, lower operating cost, and lift throughput. Every engagement he leads starts with a measured baseline and ends with results leadership can defend in an operating review.
AI transformation process
Every Cardinal engagement follows the same sequence. No open-ended discovery, no pilots that quietly disappear — each phase ends with an artifact your leadership can act on.
We map the workflows, capture the numbers you already report, and score every candidate use case against value, feasibility, and risk.
Solution architecture, data boundaries, and the governance model are designed together — aligned to NIST AI RMF and your existing controls.
Senior engineers build in short increments with an evaluation harness from day one, so quality is proven before anything touches production.
Controlled rollout with observability, cost controls, and a reporting cadence that puts AI value in the operating review — not a separate deck.
Case studies
Representative engagement profiles, anonymized to protect client confidentiality. We share verified outcome metrics — against your own baseline — directly during the consultation, never numbers we cannot defend.
Healthcare
Manual triage of inbound requests consumed the equivalent of two full-time roles and created a multi-day backlog during peak periods.
A retrieval-grounded intake agent with human-in-the-loop review for low-confidence cases, audited weekly against a living test set.
Government
Retention, FOIA exposure, and procurement rules stalled every prior attempt at automating document handling.
Constraint-first architecture with data residency, retention logging, and review checkpoints designed in before any model selection.
Financial Services
Analysts rekeyed data across four systems before any judgment call could be made, driving cost per case and inconsistency.
System-to-system orchestration plus an explainable decision assistant, with every recommendation traceable to source evidence.
Why Cardinal
We are practitioners, not resellers. Our teams have shipped AI inside environments where accuracy, security, and auditability are non-negotiable — and where the savings had to show up in the budget.
Senior practitioners who have delivered AI inside regulated, high-stakes environments — not junior teams learning on your budget.
Every engagement is scoped to a baseline, a target, and a reporting cadence. If it cannot be measured, we do not ship it.
Security, privacy, and auditability are designed in from day one, aligned to NIST AI RMF and your existing controls.
Solutions are engineered around your data, workflows, and constraints — never a generic platform rollout.
References
We protect client confidentiality. Named references and outcome metrics — measured against each client's own baseline — are shared directly during the consultation, under NDA where appropriate.
Every engagement is scoped to a baseline, a target, and a reporting cadence. The numbers behind these engagement patterns belong to our clients, so we share them in context — with the constraints, the measurement method, and the people who can attest to them.
Request references and a consultationFree offer
A no-cost, 30-minute working session with our team. We review your workflows, identify where AI saves time and money, and hand you a prioritized shortlist — whether or not you hire us.
We quantify the manual steps AI can remove and the weekly hours that come back to your staff.
You get a costed view of where automation reduces spend without adding headcount or risk.
One prioritized use case, a baseline metric, and the path to a production result you can report.
Get started
Book a 30-minute consultation. We will review your goals, size the time and cost savings, and outline a realistic path to a measurable production result.
