AI Governance

What We Deliver

Responsible AI Adoption, Without the Guesswork

AI is spreading through manufacturers and distributors faster than the rules to manage it. An unmanaged tool, an unreviewed model, or sensitive data sent to a public service can become a real liability. SorceTek's AI governance practice gives growing businesses a practical framework to adopt AI responsibly: clear usage policies, a living inventory of the AI tools and models in play, structured risk assessment, human oversight of high-stakes decisions, and audit and monitoring you can stand behind. We align your programme to recognised guidance such as the NIST AI Risk Management Framework and keep it ready for emerging regulation, pragmatically and vendor-neutrally. Security-first AI guidance for small and midsize businesses in Texas and nationwide.

Policy & Framework

Clear, role-based AI usage policies and a governance framework aligned to the NIST AI RMF, written to be used rather than filed away.

Tool & Model Inventory

A living register of every AI tool and embedded model in use: what data it touches, who owns it, and the risk it carries.

Oversight & Audit

Human-in-the-loop checkpoints for high-stakes decisions, plus monitoring and audit trails that keep AI accountable over time.

What's Included

What Your AI Governance Programme Covers

A complete, practical framework that turns ad-hoc AI use into a managed, defensible practice.

AI governance framework aligned to the NIST AI Risk Management Framework
Acceptable-use and AI usage policies tailored to each role
Living inventory of AI tools, services, and embedded models
AI risk assessment rated by impact and likelihood
Data-privacy and compliance alignment (GDPR, CCPA, HIPAA where applicable)
Readiness for emerging AI regulation, reviewed vendor-neutrally
Human-oversight checkpoints for high-stakes or automated decisions
Roles, responsibilities, and an AI review/approval workflow
Vendor and third-party AI due-diligence criteria
Audit trails, monitoring cadence, and a periodic governance review

Our Process

How We Build Your AI Governance

Discovery & Inventory

We catalogue the AI tools and models already in use across your business and map what data each one touches.

Risk Assessment

We rate each use by impact and likelihood, flag privacy and compliance exposure, and identify where oversight is essential.

Framework & Policy

We build a governance framework aligned to the NIST AI RMF and write role-based usage policies your teams can actually follow.

Oversight & Controls

We define human-in-the-loop checkpoints, approval workflows, and clear ownership so high-stakes AI decisions stay accountable.

Monitoring & Review

We set up audit trails and a review cadence so the programme keeps pace with new tools, new use cases, and emerging regulation.

FAQ

Common Questions About AI Governance

What is AI governance and why does my business need it?

AI governance is the set of policies, controls, and oversight that lets your organisation use AI productively while managing its risks. As employees adopt AI tools, often faster than IT can track, governance keeps data protected, decisions accountable, and your business ready for tightening regulation. For growing manufacturers and distributors, it's the difference between AI as an asset and AI as an unmanaged liability.

What is the NIST AI Risk Management Framework?

The NIST AI RMF is a voluntary, widely recognised framework for identifying and managing AI risks across the AI lifecycle. We use it as a practical backbone for your governance programme, mapping your tools, data, and decisions to its functions, without locking you into any particular vendor or product. It gives you a defensible, well-understood structure that adapts as guidance evolves.

Do we need governance if we only use a few AI tools?

Yes. Even one tool handling customer or proprietary data can create real exposure, whatever the size of your overall AI footprint. A lightweight governance framework scaled to your size sets clear rules early, before AI use sprawls. It's far easier to start with good guardrails than to retrofit them after an incident or a failed audit.

How does AI governance relate to regulation like the EU AI Act?

AI regulation is emerging quickly and varies by region and sector. We keep your programme vendor-neutral and framework-based so it's adaptable rather than tied to one law's specifics. We help you understand which emerging rules are likely to apply to your operations and build documentation and controls that put you in a strong position as requirements firm up.

How is governance different from an AI security assessment?

An AI Security Assessment is a point-in-time review that surfaces your current risks and gaps. AI governance is the ongoing programme of policies, oversight, and review that keeps those risks managed as your AI use grows. Many clients start with an assessment to establish the baseline, then stand up governance to maintain it.