
AI Governance Consulting
A governance program your engineers can run, built by a team that ships production AI.
AI governance consulting turns the patchwork of AI law, standards, and internal risk rules into an operating program: model inventories, risk classification, policies, incident response, and audit-ready documentation. AlphaCorp AI builds that program around your actual production systems and maps it to the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001. EU authorities now hold supervisory and enforcement powers with fines up to €35 million or 7% of global turnover, and the fastest path to readiness runs through your engineering stack, where we work every day.

Creators of RustyRAG
Realtime RAG, built in Rust · Sub-200ms end-to-end
VersarWashington, DC
GynisusNew York
CampusReelNew York
LuniqGermanyHospitalityFlowSingapore
The AI governance gap, measured in 2025 and 2026
The gap between AI deployment and AI oversight is documented, and it widened last year. Enforcement has started, the deadlines are set, and the build takes months.
What AlphaCorp AI's governance consulting covers
The full program: what you run, what could go wrong, who owns it, and what an auditor or regulator sees. Six workstreams, scoped to your deployment.
The Stack We Ship On
We pick the best tool for each job, not the trendiest. This is what runs behind the agents, retrieval pipelines and automation we put into production.
How an AlphaCorp AI governance consulting engagement runs
Five sequential steps, from inventory to a program your team owns.
Why invest in AI governance consulting in 2026
Enforcement has started. That is the short version. The EU AI Office and national authorities gained enforcement powers on August 2, 2026, while the Digital Omnibus pushed high-risk deadlines to December 2027 and August 2028. That deferral changes the shape of the work: from triage to a properly built multi-year program.
Why choose AlphaCorp AI for AI governance consulting
We approach governance as an engineering problem with legal constraints, because we build the systems being governed. Our team ships agents, RAG pipelines, and fine-tuned models into production, and that shows in the details: most model inventories we review miss the retrieval layer entirely, even though a stale or swapped index changes system behavior without any model change appearing in a registry.
Controls that attach to pipelines. Policies become evals, logs, and gates in your CI, so the program survives contact with your release schedule.
Frameworks as tools, with numbers attached. Industry trackers in 2026 report ISO/IEC 42001 covering around 70% of EU AI Act high-risk documentation requirements, a vendor-reported figure, which is why we use it as scaffolding where it earns its keep.
An honest boundary. We do not practice law and we do not issue certificates. Legal interpretation stays with your counsel and certification stays with accredited bodies. We build the program both of them sign off on.
The people you talk to are the people who build. No handoff from partner to bench. Bring us your system list and leave the first session with a risk map and a sequenced plan.
How AlphaCorp AI handles your data during governance work
Governance work happens inside your environment. We operate under your access controls, keep inventories and documentation in your repositories, and claim only the practices we can show.
When a client requires a specific certification posture, we design the controls and scope the accredited audit rather than naming badges we do not hold.
