Repeat work absorbs specialist time
Troubleshooting, repeat questions, and documentation gaps create drag because the same work keeps landing on a small number of people.
Solution
Operations and compliance teams need faster troubleshooting, documentation, and workflow support, but they also need AI use to stay auditable, reviewable, and practical to govern.
Faster
first-touch triage with tenant-scoped answers and jump-to-admin links
Audit-ready
run history with redaction, approvals, and attribution
UK / EU / US
regional hosting options selectable on day one

The problem
IT and compliance teams face repeat questions, troubleshooting load, documentation gaps, and audit pressure, but generic AI tools create data-control concerns and manual work still absorbs specialist time.
Troubleshooting, repeat questions, and documentation gaps create drag because the same work keeps landing on a small number of people.
Teams want faster support, but unmanaged AI use creates data-control and auditability concerns that block adoption.
When tasks, scripts, and knowledge updates are not tied to one controlled execution trail, service quality and reviewability drift apart.
What changes
Give teams faster answers and more consistent handling for repeat operational issues.
Automate repeatable tasks with controls that preserve reviewability, service quality, and ownership.
Capture and retain operational context that supports policy work, framework readiness, and compliance reporting.
The operating view
Tickets, logs, and knowledge feed tenant-aware triage, workflow execution, and documentation capture - producing an audit-ready run history with owners, timestamps, and attribution across Microsoft 365, Intune, and Entra surfaces.

Walkthrough
A tour of EtherAssist for tenant-aware troubleshooting, workflow execution, and reviewable day-two history.
How we deliver it
This route is led by EtherAssist and focuses on secure AI for troubleshooting, workflow execution, documentation, and compliance-aware operations.
EtherAssist gives IT and compliance teams the speed of AI without giving up data control, auditability, or practical governance. It supports troubleshooting, scripting, documentation, policy work, and repeatable internal support workflows.
Start here
Map your service workflows, documentation gaps, and compliance needs to a practical rollout plan.