1. What is broken or unnecessarily expensive?
Across Europe, enterprise IT budgets are being pulled in two counterproductive directions at the same time. On one side, skilled engineers still spend hours every week executing repetitive, rule-bound tasks: provisioning accounts, reclaiming unused licences, packaging routine application updates and triaging recurring L2/L3 endpoint tickets.
On the other side, organisations fund “AI transformation” pilots that attempt to use generative AI for tasks that require 100% deterministic reliability—only to see those pilots blocked by security and compliance teams.
2. What does Unified360 do differently?
We architect enterprise automation across three explicit operational layers:
- Layer 1 — Deterministic Execution (Zero Variance): Microsoft Graph API calls, PowerShell runbooks, Entra ID group lifecycle, Intune policy enforcement and database transactions are always written as deterministic, version-controlled code.
- Layer 2 — Applied AI Acceleration (Context & Triage): We apply AI specifically where inputs are unstructured—summarising multi-source endpoint diagnostic logs, classifying free-text service desk tickets, or mapping natural-language software requests to catalog items.
- Layer 3 — Human-in-the-Loop Governance (Accountability): High-impact actions—such as production ring promotions, privilege elevations, tenant-wide policy changes or destructive offboarding actions—pause at an explicit, auditable human approval gate.
3. What should the customer do next?
Audit your top five highest-volume operational workflows. Separate the steps that are strictly rule-based from the steps that require unstructured triage or human sign-off—then engineer the deterministic foundation first.