# Help your team use AI safely, consistently and well

URL: https://360iss.com/services/ai-governance-training/ · Last updated: 2026-10-15

AI adoption often starts before the organization is ready. Staff experiment with public tools, managers see uneven results, and nobody has a shared answer for what data may be used or who checks the output. We turn that uncertainty into a practical operating model: clear rules, approved use cases, quality tests and training tied to real roles.

## Who it's for
This service is designed for organizations that want useful AI adoption without issuing a policy nobody can apply. It works for teams already using AI informally and for leaders preparing a controlled rollout.

- Owners who need to know where staff already use AI and which use cases create real value
- Managers introducing Copilot, ChatGPT, Gemini or purpose-built agents across a team
- Organizations handling customer, employee, financial or commercially sensitive information

## What we do
Governance should make good work easier. We inventory current and proposed uses, classify them by impact and define proportionate controls. A drafting assistant needs different oversight from an agent that updates records or influences a customer decision.

Training uses examples from your business. Staff learn how to frame a task, protect information, check evidence, recognize weak output and escalate the cases AI should not decide. Managers learn how to select use cases, measure value and maintain accountability when an agent performs part of the work.

## How we work
1. **Discover use and risk** — We interview key roles, inventory tools and use cases, and identify data or decisions that need stronger control.
2. **Set practical rules** — We define approved tools, prohibited data, review expectations, ownership and incident handling.
3. **Build the checks** — We create representative tests and quality thresholds for important assistants or agents.
4. **Train by role** — We run focused sessions using real work, then leave reusable exercises, examples and manager guidance.

## What you get
- **AI use-case register** — What is in use, the business owner, data involved, value expected and risk level
- **Acceptable-use standard** — Plain-language rules staff can follow, with approval and escalation paths
- **Evaluation plan** — Test cases, quality measures and release criteria for important AI workflows
- **Role-based workshops** — Practical training for staff, managers and technical owners
- **Adoption roadmap** — Prioritized next steps based on value, readiness and risk rather than tool hype

## Governance that scales with the risk
We do not apply the same ceremony to every prompt. Low-risk research and drafting can use lightweight guidance. Systems that touch customer records, contractual commitments, payments, employment or access require stronger evidence, permissions and human approval. That keeps controls credible and directs effort to the places where mistakes matter.

For a working implementation, governance connects directly to [AI automation](https://360iss.com/services/ai-automation/), [AI agents](https://360iss.com/services/ai-agents/) and [AI knowledge systems](https://360iss.com/services/ai-knowledge-systems/). The rules, training and evaluation set travel with the system from pilot into operation.

## Frequently asked questions
### Do we need an AI policy before staff can use AI?
You need clear minimum rules as soon as business information enters an AI tool. We can establish those quickly, then build a fuller operating model around the use cases that carry more risk.

### Is this legal or privacy advice?
No. We help translate the organization's approved legal, privacy and security obligations into system rules, tests and staff practices. Specialist counsel remains responsible for legal advice where it is needed.

### What does an AI evaluation test?
It uses representative inputs and expected outcomes to measure accuracy, evidence, refusal, escalation and other task-specific behavior. The goal is to know whether a system is ready for its defined job and whether later changes make it better or worse.

### Can you train non-technical staff?
Yes. Sessions use the language and tasks of each role rather than model theory. People practise writing clear instructions, checking sources, handling sensitive information and knowing when to stop and ask a person.

### Can this cover tools our staff already use?
Yes. We start with the current reality, including approved and informal tools, then recommend the smallest set of changes that improves safety, consistency and measurable value.