Implementation Pattern / AI Foundation
Turning Shadow AI Into a
Secure, Usable Foundation.
A practical AI foundation that gives employees approved access to leading AI tools while establishing authentication, data safeguards, usage guidance and training—typically deployed in about a week.
Based on AI Foundation engagements implemented across multiple organizations.
- Solution
- AI Foundation
- Focus
- Security · Access · Adoption
- Integrations
- Microsoft 365 · Google Workspace · SSO
- Scope
- Foundation → Rollout
The Challenge
AI was already being used.
Leadership just couldn’t see or control it.
Employees were experimenting with public AI tools using individual accounts, often without consistent guidance around what information could be shared, which tools were approved or how AI should be used in day-to-day work.
For leadership, the problem wasn’t whether employees would use AI. They already were. The challenge was creating a secure, manageable way to support that adoption without slowing it down.
Before
- Personal Accounts
- Unapproved Tools
- Unclear Data Practices
- Limited Visibility
The Solution
Get AI under control without turning it into a massive initiative.
FXNL establishes an approved AI environment connected to the company’s existing identity and productivity infrastructure.
- 01
Approved AI environment
Configure the appropriate enterprise AI platform and organizational environment.
- 02
Identity & access
Connect SSO and authentication through Microsoft 365, Google Workspace or the organization's existing identity infrastructure.
- 03
Data & usage guidance
Establish practical rules around company data, appropriate usage and approved workflows.
- 04
Department pilot
Start with representative users across departments rather than deploying blindly across the organization.
- 05
Training & adoption
Train employees around the company's actual work, policies and AI use cases.
Model Agnostic
Built around the business, not a particular AI vendor.
Implementation
A practical foundation.
Typically about a week.
A Foundation implementation is designed to establish a controlled starting point quickly, using the organization’s existing identity, productivity and security infrastructure wherever possible.
- Discover
- Configure
- Secure
- Pilot
- Train
- Rollout
A typical Foundation implementation can be completed in approximately one week, depending on the organization’s existing environment and requirements.
Start Small
Learn quickly.
Expand intentionally.
Rather than rolling AI out indiscriminately, the initial pilot typically includes a representative user from each department.
This gives FXNL and leadership a way to see how AI is actually being used across different functions, identify useful applications, refine guidance and training, and determine where broader enablement or integration makes sense.
- Operations
- Finance
- Sales
- Marketing
- HR
The Impact
From shadow AI to managed adoption.
Approved Access
Employees have a supported environment for using AI.
Greater Confidence
Teams become more comfortable and capable using AI in their actual work.
Better Data Awareness
Employees become more conscious of what information they share and how AI tools handle it.
Usage Visibility
Leadership gains greater visibility into organizational AI adoption and usage.
The goal isn’t to stop employees from using AI. It’s to give them a better way to use it.
What’s Next
Foundation is the starting point,
not the destination.
Once employees have an approved environment and understand how to use it, organizations can begin identifying where AI creates the most value—improving individual work, redesigning departmental workflows, or integrating AI directly into business systems.
- Foundation
- Enablement
- Integration
Have a workflow like this?
FXNL helps businesses identify where AI and automation can remove operational friction—and builds the systems to make it work.
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