Infante Automation designs and runs governed AI operations for businesses that answer to a regulator. We build the control framework first — the board, the thresholds, the audit trail — then automate inside it. That order matters.
Most automation work delivers throughput and leaves governance to the client. In a supervised industry that's backwards: an efficiency gain you can't prove is a liability waiting to be found. We deliver both as one.
01 — Establish
AI Governance Frameworks
We set up the board, the thresholds and the audit trail that decide what your automation may do — and keep proving it did only that.
Governance charter and named seats
Confidence thresholds and fallback rules
Immutable audit logging standard
Model drift and override review cadence
02 — Design
Process Discovery & Design
A time-and-motion study of how the work really runs today, a measured baseline you can defend to a CFO, and a target operating model that fits your real systems.
Process truth mapping
Volumetric and rework baselining
Integration and constraint assessment
Target architecture and business case
03 — Operate
Managed AI Operations
We build, host and run the pipeline under your governance board's authority — deterministic rules ahead of any model, human approval ahead of any write to a system of record.
We bring these terms to every engagement, before anyone discusses scope or price. If they don't suit how your organization works, we're probably the wrong firm — and we'd rather find that out in the first conversation than the fourth.
01
Governance comes first, not last
The board, its confidence thresholds, its audit requirements and its authority to stop a pipeline are defined before a single production component is built. Adding controls to a system that was never built for them costs more and convinces no one.
02
A named human holds every approval
No model and no automation commits a final configuration, alters contracted data, or bypasses verification. Deterministic business rules run independently of, and take precedence over, any model output. Below the confidence threshold, work is quarantined to a person — never advanced quietly.
03
Evidence before estimates
We won't quote a savings figure until we've measured the baseline. We scope and price discovery on its own, and it produces auditable numbers. We price what comes next from those numbers — not from an assumption written to win the work.
04
You own everything we produce
Process maps, future-state blueprints, the baseline dataset, the governance charter — yours, including if you read the findings and decide to stop. A discovery engagement that leaves you dependent on the consultant has failed at its job.
What “governed” actually means
The same shape in every engagement. Deterministic business rules run before any model does. Model output is measured against a threshold your board sets — not one we choose. And nothing reaches a system of record without a named person putting their name to it.
No path in this diagram reaches a system of record without a human approval. That's the design, not a policy we promise to follow. Work below the threshold goes to a person in quarantine — it's never advanced quietly, never retried in silence, and never written back on its own.
We work where an operational mistake has regulatory consequences, and where the people doing the work already know their process better than any consultant will.
Pharmacy benefits
Benefits and network configuration, formulary operations, and claims-adjacent workflows. Direct expertise in NCPDP standards deployment and MAC pricing methodology.
Health plans
Enrollment, provider data and eligibility operations carried out under HIPAA obligations and Business Associate Agreements.
Financial services
Risk registers and model governance inside a bank supervisory environment.
Manufacturing
Lean process redesign, supplier transitions and production-line moves, where the measurement discipline originates.
About
Led by someone who has run the operations, not just the software.
Infante Automation is a Puerto Rico consultancy specializing in AI governance and process automation for regulated industries. Engagements are led personally by the firm's principal, Michael X. Infante.
You are not hiring a vendor who needs the formulary explained to them.
Thirteen years inside regulated operations — seven of them within a pharmacy benefit manager, reporting directly to the chief executive and chief financial officer, and three more introducing AI-driven risk and quality-assurance tooling inside a supervised bank, where the control framework is not optional and the regulator is already watching. Earlier work across healthcare systems engineering and global manufacturing supplies the measurement discipline behind every engagement.
So discovery opens with informed questions rather than an orientation, and the governance model you get has already held up under audit. The through-line is not the tooling — it is knowing what the work genuinely costs, who is accountable for signing it off, and what an auditor will ask about it six months later.
Certifications
Project Management Professional (PMP)
Lean Six Sigma Master Black Belt
Certified Scrum Product Owner
Certified ScrumMaster
AI Fundamentals
Anthropic Claude certifications
Also experienced in
BS Mechanical Engineering (ABET)
Fluent English & Spanish
NCPDP standards & MAC pricing
Executes Business Associate Agreements
Principal-led delivery on every engagement
Contact
Start with a conversation, not a contract.
The first step is a mutual NDA and a scoping call. If we're not the right fit, we'll say so early — a discovery engagement that ends in jargon instead of a decision helps nobody.