AIHSYS is the operations layer for enterprise AI: an agentic service desk, a preemptive SOC, governance you can prove, and one control plane — Mycelium — governing it all. Built in Texas, run by one accountable team.
Every line below runs through Mycelium — so whatever you adopt, your models, agents and data stay inside boundaries you control, with every action logged.
The five-layer AI stack. AIHSYS operates the top three — applications, models, infrastructure — governed end to end by Mycelium.
Specialist AI agents working every ticket inside the tools you already run — categorizing, prioritizing, routing and resolving — with command-center visibility for your leadership and a clear path from assisted to autonomous workflows.
Start with an assessment →Defense that acts before the strike: an agentic SOC correlating signals across identity, endpoint, email, network and cloud — AI triage and investigation, backed by human analysts around the clock.
See it on your environment →Centralized visibility and control across third-party and custom AI: model scanning, LLM and MCP protection, and runtime defense spanning models, data pipelines, SaaS apps and autonomous agents.
Map your AI exposure →Transparency obligations are now law in major markets — and more are coming. We translate evolving regulation and internal policy into repeatable controls, with continuous visibility and runtime guardrails you can show an auditor.
Get compliance-ready →Our platform, and the core of every engagement: one governed gateway for model access, observability, guardrails and cost control — with MCP and agent gateways for agentic workflows, and per-customer tenancy isolation by design.
Explore Mycelium →AI-activated operations across infrastructure, applications, experience and security: anomaly detection, event correlation and noise reduction, predictive capacity and failure analysis, and automated remediation — escalating only what genuinely needs human judgment.
Explore managed operations →Hardware-based trusted execution environments, sovereign and regional cloud options, and digital provenance — verifying the origin and integrity of software, data and AI-generated content, with your data protected even in use.
Discuss sovereignty needs →Most AI programs stall on data, not models. We handle discovery, classification and access governance before exposure — so the investment you've already made in AI starts producing measurable returns.
Assess your data readiness →98% of FinOps teams now manage AI spend — up from 31% two years ago, the fastest adoption the discipline has recorded — because AI consumption is volatile, non-linear, and breaks the forecasting assumptions budgets were built on. We're an AI-native firm selling cloud discipline in the year AI broke cloud budgets: Mycelium already meters every model call, so cost governance isn't a bolt-on — it's how the platform works.
GPU and inference cost management · token- and request-level unit economics · model and endpoint rightsizing · AI workload placement (cloud API vs. self-hosted open-weight models) · AI spend attribution by product and team.
Get your AI spend attributed →Source: FinOps Foundation, State of FinOps 2026 (n=1,192).
Every AIHSYS engagement runs on Mycelium: an isolated AI control plane per customer. Your models, your boundaries, your tenancy — model-agnostic by design, so you're never locked to one vendor's roadmap.
One governed entry point for every model, MCP server and agent your business touches — with access control, rate limits and cost visibility per team.
Request a walkthrough →Runtime policy on every request: what agents may do, what data may leave, and what always needs a human. Your data never trains public models.
Request a walkthrough →Every action logged, every cost attributed, every decision auditable — one live view of your entire AI estate, in Teams and on the web.
Request a walkthrough →Enterprises will waste an estimated $299 billion in cloud spend this year — 29% of infrastructure budgets, a five-year high. The cause isn't the cloud; it's the absence of governance, cost discipline and operational ownership. We manage the full lifecycle across Azure, AWS, Google Cloud and hybrid.
The fundamentals, run properly: detection and response around the clock, a compliance program you can show an auditor, and the people-side handled. When you're ready to go preemptive, the same team runs our AI-MDR line.
The seams between your systems are where time and revenue leak — the export from one tool re-keyed into another. We engineer those seams shut with real integrations, automation, and data pipelines that feed everything else, including your AI.
Give us 25 minutes and one real problem from your operation — a stalled AI program, a noisy SOC, a service desk drowning in tickets. We'll show you what one governed system looks like.