Automate the checks, the changes and the reports
Repeatable IT work should be a script that runs on a schedule, leaves a record, and tells a person only when something needs them. That frees the people who keep your systems running, and gives your compliance file dated evidence instead of good intentions.
Eight kinds of IT work that should not need a person
We start with the task that costs the most hours or gets forgotten most often, prove it, and only then move to the next.
Onboarding and offboarding
A new hire or a leaver starts a checklist from the roster: accounts, groups, devices and access created or removed the same day, with a record of who did what.
Configuration management
Firewall, switch and Wi-Fi settings templated, backed up on a schedule, and compared with the approved version so drift is found early.
Compliance evidence on a schedule
Automated checks of multi-factor coverage, patch status, backup freshness and guest accounts, saved as dated evidence for your risk analysis.
Monitoring that speaks up
Health checks for disks, certificates, backups and licenses, with alerts to a person. A weekly self-test confirms the checks themselves ran, so silence means success.
Reports and dashboards
A weekly status to email and Teams, and a dashboard of what ran, what it found, and what needs a decision.
Patching and updates
Staged rollouts in maintenance windows, with a plain report of what changed and what failed.
Cloud housekeeping
Budget alerts, unused licenses reclaimed, and cost and tag reports, so the cloud bill never arrives as a surprise.
Integrations and APIs
Connecting the systems you already have (Microsoft 365, EMR exports, phones, ticketing) with scripts and APIs where no product exists.
Automation you can trust, and audit
An automation that fails quietly is worse than none. Everything we build follows the same seven rules.
Standardize first, then automate
A messy process automated is a faster mess. We write the standard, then script it.
Dry run before a real run
Anything that changes something starts in preview mode and shows what it would do.
Least privilege
Each automation holds only the narrow permission it needs, for the one system it touches.
Every run leaves a record
An append-only log of what ran, with what, and what came out.
Check the result, not the exit code
A run counts only if the expected output exists and is fresh.
People approve what cannot be undone
Deletions, mass changes and anything sent outside the organization wait for a person.
Secrets stay out of the code
Keys and passwords live in a protected store, never in scripts, tickets or email.
What we build with
PythonPowerShellMicrosoft GraphREST APIsPower AutomateScheduled jobsTemplated device configurationGit
We choose the simplest tool that works, and we leave you something your own IT person can read and change.
The same method runs our own work. The operations dashboard in our case studies runs on a schedule, logs every run, and checks itself each week. See how it works.
Automation in practice
A dashboard with an audit trail, a weekly credential audit, and a regulation watcher that speaks up only when something changed.
A one-click operations dashboard with an audit trail for every run
Recurring compliance and admin tasks became buttons on a Teams page, and every run leaves an append-only record an auditor can be shown.
Press a button; 43 seconds later the email, the Teams post and the audit row exist.
Running in productionRead the case study ComplianceEvery caregiver credential in one trustworthy picture
A weekly audit and a color-coded board replace three sources that disagreed, and a monthly federal exclusion screen runs alongside.
Audit every Monday, board always current, exclusion screen monthly.
Running in productionRead the case study AI assistantsStaff get cited answers from the agency’s own policies, and learn when a regulation changes
Two closed-book assistants in Microsoft Teams answer only from the agency’s documents, with the source cited, and a weekly watcher flags when a saved regulation has changed.
Cited answers and a quiet watcher that speaks up only when it matters.
Running in productionRead the case study