AlphaCorp AI
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Services

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.

RustyRAG logo
Track record

Creators of RustyRAG

Realtime RAG, built in Rust
Ignas Vaitukaitis, Founder and CEO of AlphaCorp AI10+ years delivering AI solutionsIgnas Vaitukaitis · Founder & CEO
Read RustyRAG’s source before you sign.
Shipped for
  • Versar logoVersarWashington, DC
  • Gynisus logoGynisusNew York
  • CampusReel logoCampusReelNew York
  • Luniq logoLuniqGermany
  • HospitalityFlow logoHospitalityFlowSingapore

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.

362AI incidents logged in 2025, up 55% from 233 the year beforeStanford HAI, 2026
48%of the Fortune 100 cited AI risk in board disclosures, up from 16%Harvard Law, 2025
23.5%of practitioners struggle to find qualified AI governance staffIAPP, 2025
Overview

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.

01

Model and agent inventory

We catalog every model, agent, and pipeline in production, including the retrieval layer, then classify each against EU AI Act risk tiers and the NIST Govern, Map, Measure, Manage functions.

02

Regulatory mapping

We translate the current rulebook into your obligations: EU transparency duties applicable since August 2, 2026, high-risk deadlines of December 2027 and August 2028 after the Digital Omnibus agreement, and US state rules such as Colorado's reenacted act, effective January 1, 2027.

03

Policy and control design

Usage policies, tiered risk thresholds, and named accountable owners, modeled on the frontier-lab practices enterprises increasingly mirror.

04

Technical instrumentation

Evaluation harnesses, logging, and incident playbooks wired into the same pipelines we build in AI agent development and RAG development engagements.

05

Audit readiness

Documentation structured for ISO/IEC 42001 and for the technical compliance dialogues the EU AI Office has signaled as its preferred first enforcement tool.

06

Vendor AI risk

Assessment of third-party models and tools your product depends on, so a supplier's gap does not become your finding.

03Stack

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.

Languages
PythonRustTypeScript
Foundation Models
AnthropicOpenAIGeminiLlamaMistralHugging Face
Fast Inference
GroqCerebrasOpenRouterReplicateOllamavLLM
Agents & Orchestration
LangGraphLangChainLlamaIndexCrewAIn8n
Vector & Memory
MilvusPineconepgvectorChromaWeaviateRedis
Voice, Image & Fine-Tuning
ElevenLabsLiveKitVapiComfyUIPyTorch / LoRAModal
Cloud & Delivery
AWSAzureGoogle CloudDockerKubernetesVercel
Evals & Observability
LangSmithLangfuseWeights & BiasesGrafana
Process

How an AlphaCorp AI governance consulting engagement runs

Five sequential steps, from inventory to a program your team owns.

01

Inventory and risk mapping

We enumerate every AI system in production and classify it by risk tier and applicable regulation. Often this starts from an AI integration audit.

02

Framework selection and gap analysis

We pick the reference frame (NIST AI RMF, ISO/IEC 42001, EU AI Act annexes) and score your current state against it.

03

Policy and control build

Policies, thresholds, and accountable owners get written and assigned, with board reporting attached.

04

Technical instrumentation

Evals, logging, and incident response go into the pipelines themselves, not into a separate binder.

05

Audit readiness and handover

Documentation lands in a state an accredited certifier or regulator can work with, and your team takes the keys. Industry figures from 2026 put ISO/IEC 42001 certification at four to nine months and $20,000 to $60,000 in certifier fees, so we sequence the build to feed that clock rather than restart it.

Benefits

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.

01

Documentation wins dialogues

The EU AI Office plans to open with compliance dialogues before formal powers. Teams with inventories and records walk in prepared.

02

Hiring will not close the gap in time

The IAPP's 2025 data shows the talent pool is thin and migrated from privacy and legal roles. A consultant-built program gives your eventual hire something to run.

03

Boards are already asking

Board committees formally assigned AI oversight rose from 11% to about 40% of the Fortune 100 in 2025. Someone will ask you for the report.

04

The US requires continuous interpretation

Federal preemption efforts under Executive Order 14365 collide with active state laws, and that tension was unresolved as of August 2026. Static compliance snapshots go stale in months.

Why AlphaCorp AI

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.

FAQ

AI governance consulting FAQs

What is AI governance consulting?

AI governance consulting is help translating AI law, standards, and internal risk appetite into an operating program: inventories, risk classification, policies, incident response, and audit-ready records. AlphaCorp AI delivers it as an engineering-led engagement mapped to the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001.

What does AI governance consulting cost?

Scope decides the price, and a working session prices your scope. The drivers are system count, risk tier, and target framework. For context, 2026 industry figures put ISO/IEC 42001 certifier fees alone at $20,000 to $60,000, separate from program build.

How long does an AI governance program take to build?

Long enough to matter, short enough to beat the deadlines. Inventory and gap analysis move fast; full ISO/IEC 42001 certification typically runs four to nine months per 2026 industry reporting, well inside the EU's December 2027 high-risk deadline if you start now.

Should we follow the NIST AI RMF or ISO/IEC 42001?

Usually both, in different roles: NIST's AI RMF structures risk work, while ISO/IEC 42001 gives you a certifiable management system. Stanford HAI's 2026 AI Index found 36% of surveyed firms citing ISO/IEC 42001 and 33% citing the NIST AI RMF, both new entrants to that survey.

Can we just hire an AI governance lead instead?

You can, and the program still has to exist first. IAPP's 2025 profession report shows leaders migrating in from privacy and legal backgrounds amid a thin hiring market. AlphaCorp AI builds the inventory, controls, and documentation your hire then owns.

What happens after the governance program launches?

The program needs a monitoring cadence, because the rules keep moving: Colorado's act takes effect January 1, 2027, NIST keeps issuing new RMF profiles, and US federal preemption remained unsettled as of August 2026. We hand over a review rhythm and stay available for regulatory updates, and the AlphaCorp AI blog tracks the changes between reviews.

The Shift
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