VectisOS

AI Governance Policy Template β€” Built for Your Operations

You deployed AI tools. Your team is using ChatGPT, copilots, and automation platforms across quoting, reporting, and daily operations. Now leadership is asking: what are the rules?

Your employees need clear boundaries. Your customers need confidence that their data is handled correctly. And regulators are paying attention. A policy template downloaded from the internet will not cover your specific workflows, your data environment, or your industry requirements. You need a policy package built around how your company actually operates.

VectisOS delivers that package. Not a 200-page document nobody reads. Not a fill-in-the-blank PDF. A turnkey set of policies, guidelines, and training materials β€” customized to your operation and written so your team will actually follow them.

What's Included: The Policy Stack

Every AI governance engagement produces six deliverables, each written for your specific operations. Not boilerplate. Not a 200-page document. Policies your team will actually follow.

πŸ“œAcceptable Use PolicyFOUNDATION

Clear rules for what employees can and cannot use AI tools for. Covers approved platforms, prohibited use cases, data input restrictions, and output review requirements. Written in plain language your field crews, office staff, and managers can follow without a legal degree.

πŸ”’Data Handling GuidelinesPROTECTION

Defines what data can enter AI systems, what stays internal, and where outputs are stored. Customer data, proprietary pricing, operational records β€” each gets a classification tier and handling rule. Aligned with your existing data security posture.

πŸ›‘οΈSecurity ProtocolsPROTECTION

Technical guardrails for AI tool deployment. API key management, access controls, approved integrations, and incident response procedures. Built to work with your current IT setup β€” not a hypothetical enterprise stack.

πŸŽ“Employee Training MaterialsADOPTION

Role-specific training plans and reference cards. Your dispatcher learns differently than your controller. AI-assisted documentation, tool walkthroughs, and practical exercises. Not a corporate e-learning module β€” usable field guides.

πŸ”Vendor Evaluation FrameworkGOVERNANCE

Criteria for evaluating any AI tools before they enter your environment. Covers data privacy, security posture, integration requirements, and total cost of ownership. Stops your team from signing up for tools that create risk.

πŸ“ŠUsage Monitoring & ReportingCOMPLIANCE

Ongoing tracking framework for AI tool usage across your organization. Audit trails, usage metrics, incident logging, and quarterly review templates. Gives leadership visibility without micromanagement.

FOUNDATION β†’ PROTECTION β†’ COMPLIANCE

The Process

The engagement runs in five steps over 2-3 weeks:

1

Review current AI usage

We audit what tools your team is already using, where data is flowing, and what gaps exist β€” including tools employees adopted on their own.

2

Draft policies

Based on the audit, we write your complete policy package. Every document references your specific tools, workflows, and data types. Nothing generic.

3

Review with leadership

You and your leadership team review drafts, flag concerns, and request changes. We revise until the policies reflect how you want AI used.

4

Train staff

We deliver role-specific training sessions. Short, practical, focused on the rules that apply to each team. No all-hands presentation where half the room zones out.

5

Deliver final package

You receive the complete, approved policy package in editable format. Yours to own, update, and enforce. No license fees. No subscription.

Not sure where you stand? Start with an AI Readiness Assessment to identify what you are deploying and where governance fits in your roadmap.

Pricing

$3,000 – $5,000

Turnkey. Fixed price. Delivered in 2-3 weeks.

The price depends on company size and the number of AI tools in your environment. A 50-person service company with three AI tools costs less than a 500-person manufacturer with a dozen platforms and field operations.

No ongoing retainer required. You own the deliverables outright. Update them as your AI usage evolves.

Governance pairs well with a Fractional AI Officer engagement if you want ongoing oversight as your AI usage grows. Policies need maintenance, new tools get introduced, and regulations change. Many clients start with the governance package and add advisory support later.

Who Needs This

If your company uses AI tools internally, you need governance. That includes companies that β€œjust use ChatGPT.”

Here is the test: Can any employee paste customer data into an AI tool right now? If the answer is yes β€” or even β€œprobably” β€” you need an AI policy for companies that spells out what is allowed and what is not.

You need this if:

  • Your team adopted AI tools without formal approval or guidelines
  • Leadership asked β€œwhat are our AI rules?” and nobody had an answer
  • Your PE firm, board, or major customers require AI governance documentation
  • Your CPA or attorney flagged data security concerns around AI usage
  • You are about to deploy AI automation and want guardrails before rollout

On PE and board requirements

Private equity firms increasingly require portfolio companies to document AI governance as part of annual compliance or pre-transaction due diligence. Boards want documentation before approving AI-related capital expenditures. If your company is PE-backed or preparing for a transaction, a governance package gives leadership the documentation they need β€” written to satisfy due diligence, not just check a box.

Common scenarios we see

A completion company rolls out an AI-assisted quoting tool. Three months later, a field engineer pastes a customer's proprietary well design into ChatGPT to "double-check the numbers." No malice β€” no rules either. That data is now in a third-party system with no retrieval path.

A distribution company deploys automated PO processing. The system works β€” but nobody documented what happens when the AI misreads a line item. No escalation path. No audit trail. When a $40K order ships wrong, there is no policy to reference.

A rental company's sales team starts using AI to draft customer proposals. Quality varies wildly β€” some include pricing never approved, others promise turnaround times operations cannot deliver. Without an acceptable use policy, every AI-generated output is a liability.

Every free AI governance policy template online was written for a generic tech company. None address field operations, shop floor equipment, or the data flows specific to industrial service businesses. VectisOS writes governance for your world because we come from your world β€” 20+ years in oilfield operations, not Silicon Valley.

The companies that get burned by AI are not the ones using it. They are the ones using it without rules.


Frequently Asked Questions

What should an AI governance policy include?

At minimum: an acceptable use policy defining approved tools and prohibited behaviors, data handling guidelines covering what information can enter AI systems, security protocols for tool deployment, and training materials so employees know the rules. A vendor evaluation framework prevents uncontrolled tool sprawl. VectisOS delivers all five in a single package.

Do small companies need AI governance policies?

Yes. A 50-person company with employees using ChatGPT for customer communications has the same data exposure risk as a 5,000-person enterprise. The policy is simpler and faster to build, but the need is identical.

How do I create an AI acceptable use policy?

Start with an audit of current AI tool usage across your organization. Document what tools are in use, what data enters them, and who has access. Then define boundaries: approved tools, prohibited data inputs, required review steps for AI outputs, and consequences for violations. VectisOS builds this for you in the governance package.

Get Your AI Policy

Your team is already using AI. The question is whether they are using it with rules or without them. A turnkey AI governance policy template built for your operation takes 2-3 weeks and removes the guesswork.

Building AI tools into your workflows? Governance comes first. Getting your team to actually follow the policy once it exists? That is an AI change management problem. Read how to solve it.