The common approach
Switched on tenant-wide, never governed
AI tools switched on tenant-wide with default settings. Licences bought before anyone maps a workflow. No one owns adoption, so use stays sporadic and ungoverned.
Add-on to every managed plan
Governed AI adoption, not shadow IT with a chatbot bolted on.
Layer3 layers Microsoft 365 Copilot, GPT and Claude onto the managed plan you already have - with the data governance, change management and measurement an ungoverned rollout skips. Available on Manage, Protect, Secure Edge and Sentinel.
Model
Add-on to every managed plan, not sold standalone
Platforms
Microsoft 365 Copilot, Power Automate, GPT and Claude
Governance
Data boundaries and access reviewed before rollout
Delivery
Readiness, pilot, training, measurement
01
The problem
Most organisations don't have an AI problem. They have a governance problem with a chatbot attached.
Shadow AI
Staff may paste client data into personal AI accounts when no approved option and usage policy are available.
Automation
A Power Automate flow one person built and never documented breaks the day they leave.
Adoption
A Copilot licence bought, never rolled out with training, quietly not renewed.
What's included
Nine capabilities, delivered as one governed programme instead of a pile of separate licences.
01
Data, permissions and governance assessed before anything goes live.
02
Classification and access boundaries, aligned to ISO/IEC 27001:2022.
03
Teams, Outlook, Word and Excel, rolled out with role-based training.
04
Approvals, ticketing, compliance reminders, reporting.
05
Automations and internal tools built on the OpenAI and Anthropic APIs where Copilot isn't the right fit.
06
Executive workshops and staff enablement so adoption sticks.
07
Transparency and accountability built into every rollout.
08
Usage and outcomes tracked against the goals set at readiness.
09
Access and data-boundary checks folded into your regular plan review.
The approach
The common approach
AI tools switched on tenant-wide with default settings. Licences bought before anyone maps a workflow. No one owns adoption, so use stays sporadic and ungoverned.
What Layer3 does
Governance and data boundaries set first. One workflow chosen for a measurable return, followed by training, a named owner and an agreed outcome.
Copilot
Power Automate
GPT
Claude
Ongoing review
Sold as an add-on to any managed plan - talk to us about what's already licensed in your Microsoft 365 tenant.
Rollout
Five stages, each one gating the next, from readiness check to measured outcome.
01
Data, permissions and governance gaps mapped against what you plan to switch on.
02
Access reviewed, classification confirmed, guardrails set before anything reaches staff.
03
One workflow, one team and a measured production pilot.
04
Executive and staff sessions so adoption survives past launch.
05
Wider rollout, usage and outcomes tracked against the goals set at readiness.
Governance
What leaves your tenant, and what does not, confirmed before an AI tool is switched on.
AI adoption assessed within the same ISO/IEC 27001-certified ISMS Layer3 applies across the rest of your environment.
Transparency and accountability, not opaque automation making decisions no one can explain.
Which platform (Copilot, GPT or Claude) is appropriate for which data, and which is not.
Questions
Still deciding how AI fits your environment? Here's what customers ask before signing up.
Book a discovery callNext step
Thirty minutes to look at what's already licensed in your Microsoft 365 tenant and where AI could safely start.
Layer3 is a managed IT provider operating an ISO/IEC 27001-certified ISMS, with offices across New Zealand.
Contact
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84-90 Main Street
Upper Hutt, Wellington 5018
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