Enterprise AI Guardian for Safe LLM Scale.
Govern every prompt, document, agent, and model through one control plane for identity, policy, security, cost, and audit so enterprise AI can scale without shadow AI risk.
Microsoft Teams, Slack, Web App, Mobile, approved LLMs, internal agents, company knowledge, and business actions - governed together.
Explore: AI guardrails platform · Enterprise LLM gateway · Shadow AI detection · AI agent governance · AI risk management
One governed workplace
Deploy Inside Your Cloud
Runs natively in private Azure/AWS hyperscaler environments.
Native Workspaces
Microsoft Teams, Slack, Web App, and Mobile access.
Model Agnostic
Centralized governance across approved commercial and custom LLMs.
Enterprise Security
SSO, RBAC, policy controls, and identity-attributed audit evidence.
Stop Choosing Between Speed and Control.
Banning AI drives employee usage into the shadows. Ignoring it expands organizational risk. AI Guardian gives employees a useful way forward without giving IT, Security, Finance, or Risk less control.
The problemShadow AI Is Already Here.
Personal accounts, unapproved tools, sensitive uploads, fragmented subscriptions, and missing audit evidence leave organizations unable to see how AI is actually being used.
SHADOW AI
Shadow accounts
Sensitive data exposure
Unmanaged spend
One governed path. Every AI interaction.
Before a request reaches a model, company knowledge base, agent, or business system, AI Guardian verifies identity, enforces policy, masks sensitive data, routes the request, and logs the outcome.
Five controls happen before the answer comes back.
A single employee request moves through identity, data protection, policy, model routing, agent execution, and audit logging - without forcing the employee to manage the complexity.
Start where employees already work.
01 / Identity
The employee asks a question or uploads a file inside Microsoft Teams or the AI Guardian Web App. SSO matches the user to their role, department, and policy set.
Inspect data before it leaves.
02 / Inspection
The gateway scans prompts and documents for PII, secrets, prompt injections, and off-domain compliance violations before the request reaches an external model.
Choose the approved model automatically.
03 / Routing
Policy verifies departmental quotas, user permissions, and model access before routing the request to the approved LLM for that role and task.
Let governed agents do the work.
04 / Orchestration
When needed, specialized agents collaborate, retrieve company knowledge, and execute approved API actions while inheriting the same identity and security controls.
Return the answer with evidence.
05 / Audit
The sanitized response is delivered to the employee while token usage, cost, policy decisions, model activity, and the identity-attributed conversation trace are logged.
Matched
Identity
Ready
PII shield
Within quota
Budget
AI Guardian / Governed Request
Employee workspace
Ask AI Guardian
Finance Analyst · SSO verified
Review this vendor agreement and identify anything that conflicts with our procurement policy.
High-cost model
Approved model
Unapproved model
Document Agent
Policy Agent
Action Layer
Policy checks completed. Sensitive identifiers masked. Full identity and cost trace logged.
Identity Matched
PII shield Ready
Budget Within quota
Stop Paying Frontier-Model Prices for Routine Work.
One expensive model gets used for everything.
Without model governance Spend leakage
When organizations cannot see which models employees use for which tasks, low-complexity work can consume the same premium model capacity as high-value analysis and reasoning.
TXT
Read text from an image Basic extraction / transcription
Frontier model
QA
Answer a routine policy question Simple retrieval and response
Frontier model
SUM
Summarize a short document Routine summarization
Frontier model
Simple-task cost comparison
Premium route 100
→
Fit-for-purpose route 25
Match model capability to the work being done.
With AI Guardian Right model. Right role.
Role-based access, workload rules, approved model sets, and spend controls help route routine work toward lower-cost options while preserving premium models for complex reasoning, analysis, and high-impact workflows.
Extraction, classification, simple Q&A
Cost-efficient model
Managers / Analysts
Summaries, drafting, structured analysis
Mid-tier model
Specialists / Executives
Complex reasoning, high-impact decisions
Frontier model
Overall opportunity ≈30% lower AI spend in a modeled mixed-workload scenario.
Governance logic Role → Model Approved access, quotas, budgets, and routing rules by role and workload.
100%
70%
Use less expensive models when they meet the workload requirement.
Model selection
Use policy and RBAC to control which models and resources users can access.
Role & access control
Simple interactions are typically 50-60% of agent traffic.
Microsoft Model Router
Routing can move 60-80% of suitable traffic to cheaper models without measurable quality loss.
Microsoft cost optimization
AI Guardian can govern model access by role and workload, so simple tasks use cost-efficient models while advanced reasoning is reserved for work that actually needs it.
Blended AI spend
Example only - actual savings depend on workload mix and model pricing.
Microsoft guidance
Microsoft guidance recommends matching model capability to requirements, restricting access to approved models, and controlling usage patterns to avoid unnecessary AI spending.
The ≈30% savings figure and 100-to-25 task example above are AI Guardian scenarios, not Microsoft benchmarks or guaranteed savings. Actual results depend on workload complexity, model mix, token usage, pricing, routing rules, and user behavior.
Operations / Support
Unmanaged model usage
Governed model assignment
Microsoft supports the economics behind model-rightsizing.
Control the moments that create risk.
Shield sensitive data before LLM ingress.
Automatically detect and mask IBANs, Iqama or National ID numbers, phone numbers, financial details, and confidential content in prompts and multi-page attachments before data reaches the model.
Prompt and multi-page file redaction
Sanitized document previews before transmission
Identity-attributed policy decisions and logs
Keep business AI on-domain and compliant.
Prevent misuse of organization-funded AI by declining off-domain requests and applying content controls that reflect corporate policy and ethics requirements.
Context-aware off-domain restrictions
Content moderation and discriminatory-content shields
Rules applied consistently across models and agents
Match model power to role and budget.
Set monthly spend caps, token quotas, and model permissions by department or user role so high-consumption models are reserved for the work that warrants them.
Department and user-level monthly caps
Role-based model availability
Cost and token traces at request level
Instead of relying on after-the-fact monitoring, AI Guardian applies identity, content, data, model, and budget rules while the request is happening.
Move from basic chat to governed multi-agent work.
-7b7fea75-2c69-4d9b-a4dd-f5a10fcaff25.png)
@ChatBuddy approve-invoice
Review the attached vendor invoice against procurement policy and the associated purchase order.
Invoice Analyzer
Extract line items and validate totals.
Policy Checker
Cross-reference procurement rules.
PO Retrieval
Retrieve approved purchase order.
AI Guardian is not only a proxy for prompts. It can orchestrate specialized agents, company knowledge, and business actions under the same overarching governance layer.
Agent Teaming Workflow
Reject the invoice. It includes an unlisted charge of,200 that is not listed on the Purchase Order and lacks written procurement approval.
Finance analyst in Teams
AI Guardian
Control Plane
Governed result
Give every decision-maker the right level of control.
Department heads manage local quotas and model access. Risk and executive leadership see organization-wide usage, spend, blocked events, and identity-attributed audit history.
-73058960-3f82-4342-ada8-2608adf5607c.png)
Local operational control
Department Head
Set quotas, dollar caps, model availability, and monitor active departmental users.
Organization-wide evidence
CRO / Executive
See spend, security events, model distribution, user history, and complete audit traces.
AI Guardian / Executive Console
Chief Risk Officer
Active users 1,284
Governed queries 24.8K
Blocked events 186
Security and policy activity
PII detected and redacted 09:42
Approved model route 09:41
Off-domain request blocked 09:36
Agent workflow completed 09:31
Secret token detected 09:24
A Clear Investment to Launch and Scale.
From $15K
01 One-time
Setup Cost
From $15K
Covers the implementation phase required to align, configure, deploy, validate, and prepare AI Guardian for go-live in your environment.
From requirements collection through go-live One-time implementation investment
As low as $8K
02 Recurring
AI Guardian Platform License
As low as $8K per quarter
Ongoing quarterly licensing for continued use of the AI Guardian platform after the initial implementation and launch.
Predictable quarterly licensing Billed per quarter
Start with a one-time implementation investment, then continue with a predictable quarterly AI Guardian platform license.
i
Final commercial terms may vary based on implementation scope, organizational complexity, integrations, deployment requirements, and licensing needs.
From Alignment to Deployment in Days.
Approved rollout blueprint ready for configuration and deployment.
01
Requirements & Alignment
2-4 Hour Sessions
Understand your business, governance needs, and implementation scope.
Outcome Approved rollout blueprint ready for configuration and deployment.
- Review AI policies, governance, compliance, and regulatory requirements.
- Map LOBs, teams, organization hierarchy, and priority use cases.
- Define guardrails, model access, and policy requirements.
- Identify user roles, permissions, and approval boundaries.
- Align budgets, quotas, reporting needs, and governance ownership.
AI Guardian live, configured, and ready for governed adoption.
02
Configure, Deploy & Go Live
4-5 Business Days
Configure AI Guardian to your requirements and deploy it in your environment.
Outcome AI Guardian live, configured, and ready for governed adoption.
- Configure the AI Guardian platform and organization hierarchy.
- Implement guardrails, policies, roles, and permissions.
- Set model access, budgets, quotas, and usage controls.
- Customize dashboards, reporting, and administrator views.
- Deploy inside your tenant and validate connectivity and configurations.
- Run smoke testing, go live, and hand over operational controls.
2 Focused Phases
Rollout structure
4-5 Business Days
Deployment window
A focused two-phase rollout aligns AI Guardian to your policies, users, controls, and cloud environment before go-live.
Timing may vary based on organizational complexity, number of LOBs, policies, integrations, and security requirements.
Govern AI Around the Work People Actually Do.
AI Guardian can sit across industries and business functions to give employees approved access to models, agents, company knowledge, and business actions while applying the right identity, data, policy, model, cost, and audit controls.
- Govern document analysis without exposing sensitive financial data.Banking & Financial Services Risk + Finance Analysts can review policies, agreements, reports, and internal knowledge through approved AI while sensitive identifiers are masked, model access is controlled, spend is governed, and activity remains attributable to the user. Relevant AI Guardian controls
- Give administrative teams governed access to AI for sensitive workflows.Healthcare Operations + Administration Operations teams can use approved AI for internal documents, procedures, summaries, and knowledge access while identity, sensitive-data protections, model permissions, and usage controls remain consistently enforced. Relevant AI Guardian controls
- Use AI for contract and policy work without losing governance.Cross-Industry Legal + Compliance Legal and compliance teams can analyze internal policies, contracts, and supporting documents through approved models while AI Guardian applies document protection, role-aware access, off-domain restrictions, and traceable activity. Relevant AI Guardian controls
- Make employee AI useful without opening unrestricted model access.Cross-Industry HR + People Operations HR teams can use AI for policy questions, internal knowledge, drafting, and routine employee-support tasks while access is limited by role, approved model, department, quota, and organizational policy. Relevant AI Guardian controls
- Review vendor documents with governed agents and company policy context.Cross-Industry Procurement + Finance Procurement teams can compare agreements, invoices, and vendor information against internal policy using approved agents and knowledge while AI Guardian preserves the same identity, redaction, model, budget, and audit controls. Relevant AI Guardian controls
- Replace scattered shadow AI with one governed employee access layer.Cross-Industry IT + Security IT and Security can centralize approved model and agent access, define role and department policies, monitor usage and spend, block prohibited activity, and retain identity-attributed evidence across employee AI interactions. Relevant AI Guardian controls
Illustrative view
Industry + Function Use Cases
Where AI Guardian fits first.
PII Redaction Role-Based Access Model Routing Audit Trails
Usage Logging
Policy Enforcement
Department Policies Role-Based Models Spend Caps Knowledge Access
Agent Governance Company Knowledge PII Shielding Cost Controls
SSO + RBAC Model Governance Policy Controls Executive Visibility
One governance layer. Different rules for different work.
AI Guardian is designed to apply controls by user, role, department, model, agent, and business context instead of forcing every team into the same AI access pattern.
More than an API gateway. More than a prompt filter.
AI Guardian combines the employee workplace, security enforcement, agent orchestration, spend governance, and executive visibility inside one control plane.
Capability
Traditional developer gateways
Point security tools
AI Guardian control plane
Primary design focus
API routing for developers
Keyword prompt filtering
Business-ready governed workplace
Employee workspace
✕
✕
✓
PII & document redaction
△
△
✓
Multi-agent teaming
✕
✕
✓
Off-domain enforcement
✕
△
✓
Executive governance
△
△
✓
✕ Requires custom UI
✕ No native interface
✓ Teams, Slack & Web Apps
△ Basic text filters
△ Simple regex masking
✓ Prompt & multi-page file masking
✕ Single-model proxy
✕ Not supported
✕ Unrestricted query types
△ Basic blocking
✓ Contextual task rejection
△ Technical API logs
△ Security alerts only
✓ CRO & department dashboards
Explore AI Guardian’s Core Governance Capabilities
AI Risk Management Software
Build an AI risk inventory, apply controls by risk level, and keep operational evidence ready for governance and compliance review.
Explore risk managementShadow AI Detection Software
Find unmanaged AI usage, reduce blind spots from unapproved tools, and move employees toward a governed path for everyday AI access.
Explore shadow AI detectionAI Agent Governance
Control agent identity, permissions, model access, business actions, and audit trails across autonomous and multi-agent workflows.
Explore agent governanceEnterprise LLM Gateway
Put one governed layer between users and models for prompt inspection, model routing, budgets, permissions, and request-level logging.
Explore the LLM gatewayAI Guardrails Platform
Enforce AI usage policies in real time with configurable guardrails for sensitive data, prompt injection, content safety, access, and approved use.
Explore AI guardrailsGo deeper into the controls enterprises use to discover unmanaged AI, manage risk, govern agent workflows, and route LLM traffic through one governed layer.
AI Guardian by Folio3 AI
Questions teams ask before rollout.
What is AI Guardian?
AI Guardian is an enterprise AI control plane and governed workplace. It gives employees approved access to models, agents, company knowledge, and business actions while enforcing identity, security, PII protection, model routing, cost caps, and audit logging.
How does AI Guardian differ from a developer API gateway?
Standard AI gateways focus primarily on API routing and developer metrics. AI Guardian adds a complete employee workplace, multi-page PII redaction, multi-agent orchestration, and executive governance for department heads and risk leadership.
Can AI Guardian run inside our private cloud?
Yes. AI Guardian is designed for private deployment within enterprise cloud environments such as Azure, AWS, or GCP, aligned with network security, encryption, data residency, and tenant isolation requirements.
How does AI Guardian handle sensitive files and prompts?
The platform intercepts prompts and uploaded documents in real time. Sensitive identifiers and confidential details can be redacted before the request is routed to a model provider.
Can we govern AI agents we already built or purchased?
Yes. Third-party and custom internal agents can plug into the agent registry so requests inherit the same identity controls, data redaction, spend tracking, and audit logging used for standard prompts.
How does off-domain query blocking save money?
By preventing organization-funded LLM capacity from being used for non-business tasks, teams can keep AI spend aligned to approved business use cases and make consumption more predictable.
What is shadow AI and how does AI Guardian reduce it?
Shadow AI is employee use of AI tools that IT and security have not approved. AI Guardian gives employees an approved path in Microsoft Teams or the Web App, so requests are tied to their identity, checked for sensitive data, routed to approved models and logged, instead of going to personal accounts.
Which models and channels does AI Guardian work with?
Employees reach AI Guardian through Microsoft Teams, Slack, a Web App or Mobile. Requests are routed to the approved LLM for that user's role and task, based on policy, departmental quotas and model permissions. The approved model set is configured with your team during implementation.
How is AI Guardian priced?
AI Guardian is offered as a one-time implementation investment followed by a predictable quarterly platform license. Final terms depend on implementation scope, organizational complexity, integrations, deployment requirements and licensing needs, so Folio3 scopes pricing with you during an AI governance consultation.
How long does an AI Guardian rollout take?
Folio3 describes a focused two-phase rollout, from alignment to deployment in days. The first phase reviews your policies, teams, roles, budgets and priority use cases. The second configures guardrails, permissions, model access and dashboards, deploys inside your tenant, tests and hands over operational controls.
Your employees will use AI either way. Choose the environment you can govern.
Move AI out of the shadows and onto a platform your organization owns, governs, measures, and can defend with identity-attributed audit evidence.
Take control of enterprise AI today
