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Tirion Frameworks

Tirion frameworks for AI decisions, agents and company knowledge.

For IT, security, governance and management teams that want to inspect Tirion decision logic in detail. The simplest entry remains the AI check.

Open AI Decision SystemStart AI check

Framework library

Six decision surfaces. One operating logic.

Tirion AI Decision SystemPDF · Scorecard

AI Decision System

Problem

A decision model for leadership teams that need to turn AI ideas into investable use cases, controlled pilots or deliberate stops.

When to use

CEO, COO, CTO, business leadership, AI owners

Outcome

Compact scoring matrix for AI use cases before budget, pilot or production decisions.

Open
Open frameworkScorecard
Tirion Agent Permission ModelPDF · Scorecard

Agent Permission Model

Problem

A permission model for AI agents that use tools, read data or trigger actions without receiving uncontrolled privileges.

When to use

CIO, CTO, security, IT leadership, AI platform owners

Outcome

Compact checklist for tool rights, approval policy, audit and rollback before production AI agents.

Open
Open frameworkScorecard
Tirion M365 Company Brain ArchitecturePDF · Scorecard

M365 Company Brain Architecture

Problem

An architecture model for organizations that want to use Microsoft 365 knowledge without ignoring permissions, stale sources or unsupported answers.

When to use

COO, CIO, IT leadership, knowledge responsibilities, operations

Outcome

Compact readiness check for sources, permissions, metadata, retrieval and operations before a Company Brain.

Open
Open frameworkScorecard
Tirion Copilot Permission Risk ModelHTML · Decision guide

Copilot Permission Risk Model

Problem

A decision model for teams introducing Microsoft Copilot without exposing unmanaged SharePoint, Teams or Graph permissions.

When to use

CIO, IT leadership, security, M365 responsibilities, business leadership

Outcome

Compact decision brief for permission exposure, pilot boundaries and governance work before Copilot rollout.

Open
Open frameworkScorecard
Tirion Azure OpenAI Governance Decision MapHTML · Decision map

Azure OpenAI Governance Decision Map

Problem

A decision model for Microsoft-first teams that want Azure OpenAI to be secure, traceable and operable.

When to use

CIO, CTO, platform owners, security, AI owners

Outcome

Decision map for architecture, security, governance and operations before Azure OpenAI implementation.

Open
Open frameworkScorecard
Tirion AI Governance Operating ModelHTML · Operating model

AI Governance Operating Model

Problem

An operating model for organizations that need to approve, run and stop AI use cases rather than only write policy.

When to use

CEO, CIO, compliance, security, IT leadership, AI owners

Outcome

Compact operating frame for AI policy, approvals, controls and governance rhythm.

Open
Open frameworkScorecard

Deep review for IT, security and governance.

You do not need to read these frameworks to start. They are for teams that want to inspect the decision logic before budget, pilot or approval. The normal entry remains the AI check.

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Short answer

Tirion frameworks turn AI pressure into decision structure across use-case investment, agent permissions, Microsoft 365 knowledge, Copilot risk, Azure OpenAI rules and AI operating models.

Public guidance for decisions. Compact scorecards for meetings.

Each framework explains when to start, stop or tighten scope, then points to a scorecard or checklist teams can use in leadership, IT and security conversations.

01Decision logic

The page explains the model, scoring logic, stop criteria, FAQ and next step in plain language.

02Scorecards

Compact checklists make the same thinking usable in meetings and follow-up conversations.

03Application

The AI check or review turns the framework into a concrete decision for your organization.

Related decision guides

Supporting decision paths and resource hubs.

Continue with the score, framework or buyer material that best fits this decision.

Tirion homepageEntry point for score, solutions and decision logic.AI Workload CheckScore path for first prioritization and next recommendation.AI Decision Call30-minute entry point for start, stop, scope or Kickstart.Security & ProcurementData handling, DPA/SCCs, roles, review gates and vendor readiness.Tirion approachDecision-to-operations path from AI idea to controlled operation.Tirion solutionsDecision paths from score to Kickstart, sprint and advisory.
More deep-dive topicsOpen the clustered reference links when a team needs more context.

Core paths

AI ConsultingPrioritization, governance and execution path for AI initiatives.

Company Brain

Company Brain Microsoft 365Knowledge layer for M365, permissions, retrieval and workflows.M365 Company Brain ArchitectureFramework for sources, permissions and retrieval.

Use-case decisions

Prioritize AI Use CasesEvaluate, compare and decide which AI use cases deserve budget.AI Use Case Scoring MatrixScorecard for value, data, risk, owner and operations.AI Use Case Approval WorkflowApproval path for AI use cases before pilot and budget.

Agents and approvals

AI Agent GovernanceTool access, approvals, logs and permissions for agents.AI Agent Governance ChecklistChecklist for permission model, approval and stop rules.AI Agent PermissionsLeast-privilege model for reading, writing and triggering.AI Agent Human ApprovalApproval boundaries for agent actions with business impact.AI Agent Tool BoundariesTool boundaries for data access, actions and escalation.

Frameworks

Tirion AI Decision SystemFramework for investable AI use cases and stop rules.Tirion Agent Permission ModelFramework for agent rights, tool boundaries and approval.

Resource hubs

Cloud Governance resourcesChecks, templates and decision tools for this topic.AI Adoption resourcesChecks, templates and decision tools for this topic.AI Adoption Executive FAQ resourcesChecks, templates and decision tools for this topic.Start, Stop, Rescope oder Pilot resourcesChecks, templates and decision tools for this topic.

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Want to apply one framework to your organization?

Start with the AI check so we can classify where the strongest AI, cloud or approval lever sits.

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