AI Operations Manager
An AI agent inside your tenant — running the IT work humans should not be doing.
Connect AI Operations Manager to your Microsoft 365 and Azure tenant and it starts doing the work nobody enjoys: triaging Defender alerts, fulfilling access requests, rightsizing licences, and forecasting your cloud bill before Finance has to ask.
- Resolved by AI · MFA reset for j.becker@…Verified identity through Teams + manager approval. Reset Authenticator app. No human ticket created.12 min ago
- Onboarded · Sara Müller (Marketing)Assigned licences (M365 E3, Power BI Pro). Added to 4 groups based on role mapping. Welcome email scheduled.38 min ago
- Escalated · Unusual sign-in from ASN 13335 for c.silva@…Conditional Access blocked. AI summarised the risk path and paged SecOps on call.1 h 12 min ago
- Resolved by AI · Shared mailbox quota raisedDetected pattern of rejected delivery reports. Bumped quota from 50→100 GB after policy check.2 h 04 min ago
- Joiner — standard employee142 runs4m 12s
- Leaver — full revoke38 runs6m 50s
- Mover — role change21 runs5m 03s
- Defender alert triage412 runs54s
Stop being surprised by the Azure invoice.
The agent watches consumption across every subscription, builds a confidence-banded forecast for the month, and proposes specific rightsizing actions — with the saving attached.
- Daily forecast with anomaly detection on cost spikes
- Reservation and savings plan recommendations
- Licence rightsizing across M365, Copilot and Power Platform
- Per-team showback / chargeback reports out of the box
- Rightsize 12 underused VMs in westeurope€ 2,840 / mo
- Reserve 1y for the SQL MI cluster (prod)€ 1,420 / mo
- Move cool blob tier on logs > 90 days€ 380 / mo
- Anomaly: Defender for Cloud +47% week-over-weekInvestigate
Six things your IT team will stop doing on day one.
Every capability ships behind a feature flag and runs in shadow mode before it touches production. You decide what the agent is allowed to do.
Autonomous L1 / L2
Joiner, leaver, mover, password resets, mailbox quotas, group memberships — handled in seconds, with full audit trail.
Cost forecasting
Predict next-month Azure spend with confidence intervals and alert before anomalies become invoices.
Identity-aware security triage
Defender, Entra ID Protection and Conditional Access signals correlated into a single incident timeline with a recommended action.
Self-documenting playbooks
Every action is captured as a natural-language playbook your team can read, edit and reuse — no proprietary DSL.
Licence rightsizing
Detect inactive E3 / E5 / Copilot seats, flag duplicate add-ons, and suggest reductions before your next true-up.
Workload optimisation
Continuous recommendations for VM rightsizing, reserved instances, storage tiering, and orphaned resources.
Runs inside your tenant. Your data never leaves.
AI Operations Manager is deployed as an Azure-hosted app inside your subscription. Inference happens on Azure OpenAI in the region you choose — Frankfurt, Amsterdam or Brazil South.
- Microsoft Graph + Azure Resource Manager APIs only — no shadow agents on endpoints.
- Azure OpenAI as the inference layer with private networking and customer-managed keys.
- Every action is signed, logged, and exported to your SIEM (Sentinel, Splunk, ELK).
- Conditional Access aware — the agent operates as a first-class managed identity.
- Microsoft 365 tenant (Business Standard or higher)
- Azure subscription with Reader at the management group level
- Global Reader + custom RBAC roles via app registration
- Optional: Power BI workspace for advanced reporting
Graph: User.Read.All, Directory.ReadWrite.All, AuditLog.Read.All
Azure: Reader (mgmt group) + Cost Management Reader
Optional: SecurityEvents.Read.All, Policy.Read.All
From install to first saved ticket in 14 days.
A solutions architect from Amazonia Tech runs the deployment alongside your IT lead. You stay in control of every action the agent is permitted to take.
- 1
Install from Azure Marketplace
One-click deploy into your tenant via app registration. Consents are scoped and reviewable.
- 2
Learning mode (read-only)
The agent observes for 14 days, builds your environment model, and proposes its first 10 automations for approval.
- 3
Approve playbooks
You approve playbooks individually. Each one runs in shadow mode before going live.
- 4
Live operations
Quarterly business reviews include avoided ticket volume, hours saved, and forecast accuracy.
See it run against your tenant.
A read-only walk-through in your environment, with three sample playbooks proposed before we leave the call. No commitment until you have seen the cost forecast on your data.
Schedule the walk-through