Other tools check the paperwork or watch a metric — and stop there. ARIA catches how your AI actually behaves — the violations those tools miss — then computes the best compliant move, continuously, across every framework you operate under. Built for healthcare and every regulated industry.
So your AI can act — even on its own — provably within the rules, with evidence an auditor will accept. Because behavior changes daily, and most teams find out months later.
Guided access, under NDA — we scope a Proof of Value to your environment, then connect your endpoint.
Whatever you're deploying, ARIA strings three customer values into one motion — and the third is the one no competitor has.
Other tools stop at an alert. ARIA catches what they miss — and hands you the answer, with a certificate.
AI deployments in regulated industries fail in predictable ways — usually because organizations treat the five responsibility domains as separate problems with separate vendors. We treat them as one problem with one practice.
The hub is what makes the spokes worth having. Five domains contribute signals; the practice produces decisions.
Every regulated organization we engage already has signals — bias indicators, drift telemetry, policy violations, audit alerts. They detect plenty. The question that wakes up their CISO isn't "did we catch it?" It's "what do we do, how fast, and can we defend the decision in front of a regulator?"
That gap — between signal and defensible action — is where AI deployments live or die. Across all five responsibility domains, everything our practice does is in service of closing it. The middle box has a name: the Intelligence Decision Layer. Inside ARIA, that layer is ControlMesh — running continuously, at platform scale. In consulting engagements, that layer is senior judgment in the room. Clients engage with the platform alone, the advisory alone, or both together — whichever fits.
The result is AI that holds up under three pressures simultaneously: operational (it has to keep running), audit (it has to be explainable), and adversarial (it has to resist attack). Most consultancies pick one. We work all three.
Most of what we do is consulting work — embedded in client teams, shoulder-to-shoulder with their CISO, compliance, and engineering leadership. The recurring patterns we saw in healthcare AI governance became something more: ARIA — our platform that detects AI behavioral drift daily and verifies continuous compliance. Clients engage with the platform alone, the advisory alone, or both together — whichever fits their situation.
ARIA doesn't just assess your AI posture once and export a PDF. It watches your AI's behavior every day, flags the moment it drifts from policy, and tells you exactly which test flipped — then verifies that conformance against the frameworks you operate under — 13 in all (NIST AI RMF, HIPAA, ISO 42001, FDA CDS, EU AI Act, SOC 2, GDPR, HITRUST CSF, CCPA/CPRA, EU MDR, DORA, FedRAMP Moderate, and OWASP LLM Top 10) — with evidence your auditor will accept.
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Our engagements don't ramp up junior consultants on your dime. Every assessment, every architecture review, every incident response, and every fractional leadership engagement is led by senior practitioners with credentials we'd put up against any firm — at a price point that doesn't penalize you for not being a Fortune 100.
Posture assessments that map your AI deployment against the responsibility framework — finding the gaps, scoring the risk, and prioritizing remediation that matches your regulatory exposure.
Security-by-design across the AI/ML lifecycle. Adversarial defense, guardrail architecture, governance instrumentation, audit-trail engineering — built into your systems, not bolted on later.
When an AI system misbehaves — bias incident, drift breach, regulatory inquiry — we engage with your CISO, compliance, and engineering leadership simultaneously. Decision-ready, defensible, fast.
Embedded leadership when you need senior AI-security judgment in the room, not just on a report. Fractional CTO engagements for AI-security and AI-governance teams that need experienced leadership without a full-time hire.
Each transformative technology brings real business advantage — and each one is rushed into production with security treated as a follow-up. We've watched the pattern five times: applications, networks, cloud, IoT, and now AI. Aggi was founded in 2008. The work began earlier and kept accumulating. Each wave adds; none replace.
Businesses race to adopt new technology for the growth it promises; the responsibility work usually gets postponed until something breaks. We do the responsibility work in parallel with the adoption — so the upside arrives without the unmanaged downside.
About Aggi Technologies →Whether you're starting an AI initiative, struggling with governance debt, or responding to a regulatory inquiry — start a conversation. We respond within one business day.