Governed AI Agents

Governed AI Agents & Permission Architecture

Agents are expected to use tools, prepare data or trigger workflows. That is where prompt rules stop being enough.

Tirion defines permissions, tool boundaries, human approval and logs as system boundaries before agents create operational impact.

Check agent governance Send request

Concrete use cases

Governed AI Agents & Permission Architecture

Tool-using agents

Agents can read sources, prepare drafts and trigger defined actions only through approval.

Permission architecture

Reading, writing, triggering and escalation are separated by tool, data class and role.

AI approval workflow

Risk, IT, business owner and leadership use the same approval logic for pilot and scale.

Architecture solution

Tirion defines permissions, tool boundaries, human approval and logs as system boundaries before agents create operational impact.

The architecture shows where Tirion separates sources, orchestration, AI/agent, human review, target systems and monitoring.

01Sources

M365, CRM, operating systems, policies, ticketing, process data

02Orchestration

Identity, scopes, tool registry, policy checks, risk classes

03AI/Agent

Drafting, research, tool calls, workflow preparation

04Approval gate

Dual control, review queue, escalation, block lists

05Target systems

CRM, tickets, email, documents, internal workflows

06Monitoring

Tool calls, overrides, approvals, failure classes, stop signals

Tirion differentiation

Governed AI Agents

Human approval is a system boundary, not only a prompt instruction.
Agent rights stay narrower than the first pilot workflow.
Each action gets a risk class, stop/scale logic and reviewable logs.

Strong fit when

Executive AI & Cloud Advisory

Agents are moving closer to action or customer impact.
Tool access is planned or already being tested.
Security, risk or compliance need to approve before scale.

Not a fit if

Not a fit if the need is only an internal text assistant without tool access or operational impact.

Stop/scale rule

Scale only after tool boundaries, review gates, logs and escalation rules have been tested.

Owner/KPI question

Which actions should an agent never perform autonomously?

Tirion path

Executive AI & Cloud Advisory

Fits when governance, agent permissions and operating model need to be clarified before pilot or scale.

Executive AI & Cloud Advisory

Proof

Anonymized governance pattern

SituationA team wanted agents to support handoffs and follow-ups.

InterventionTirion defined tool rights, review gates and escalation logic before the pilot.

Observed resultThe agent prepared work, while external actions stayed review-gated first.

Measurement points

blocked actionsreview cycle timetool-call failuresauditable approvals

Other use cases

Other architecture paths

M365 Company BrainM365 Company Brain for Microsoft-first Teams

Knowledge, routines and decisions live across Teams, SharePoint, Outlook, files and people. AI should help, but access, source quality and operation cannot be lost.

Revenue Ops AIRevenue Ops AI Automation

Sales and account teams lose time in research, routing, follow-up and proposal preparation. Automation cannot lose tone, context or control.

Secure Azure OpenAISecure Azure OpenAI Foundation + AI Cost Control

AI pilots expand, cloud spend spreads and no one consistently owns guardrails, tags, budgets, alerts and scale decisions.

Start now

Should this use case be prioritized with more confidence?

The score classifies whether this path is ready or whether governance, owner, data reality and target state need to be clarified first.

Start score Send request