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Service · AI & Automation

Stop building reports by hand. Let the data build itself.

Data pipelines and dashboards scripted so KPIs, inventory counts, and compliance evidence update on their own, instead of someone reassembling them in a spreadsheet every month.

What Analytics AI actually is

This is a newer service line, and we’d rather be plain about what it covers than oversell it. It’s the same automation discipline behind our RMM fleet scripting, pointed at reporting instead of maintenance: pulling data out of the systems you already use and scripting it into a dashboard or scheduled report, so nobody is manually copying numbers into a spreadsheet every month.

What it’s good for

Scoped, recurring reporting jobs. Not a full BI platform rollout.

  • Compliance and audit evidence: asset inventory, encryption status, and patch compliance pulled automatically instead of reconstructed by hand when an auditor asks. We’ve done this at scale. A 312-asset hardware inventory for an insurance audit came back in 47 minutes automated versus a two-week manual quote.
  • Operational monitoring evidence: automated speedtest logging and disk-usage analysis that turn a vague complaint (“the internet feels slow,” “the server’s full”) into a dated, defensible record.
  • Scheduled business reports: the monthly or weekly report someone currently builds by hand from RMM, ticketing, or backup data, scripted to generate and send itself.

What it’s not

We’re not going to sell a regulated 20-person firm an enterprise BI suite it will never fully configure. If your reporting need is small and scoped, we scope the project to match. If it’s bigger than what we do well, we’ll tell you that instead of taking the project anyway.

How it’s scoped

Standard managed clients already get monthly reporting as part of the month-to-month base plan. Custom Analytics AI projects (a compliance dashboard, a scheduled metrics report built around your specific KPIs) are quoted separately based on how many data sources are involved. We’ll walk the scope on a call.

Talk to Corey

Tell us what report you’re building by hand every month. We’ll tell you straight if it’s worth automating.

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Still copying numbers into a spreadsheet by hand?

Book fifteen minutes with Corey. Bring the report you dread building. We'll tell you honestly whether it's worth scripting.

Straight answers

Analytics AI, answered

This is a newer service line. We’re upfront about scope below.

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What is Analytics AI?

Analytics AI is our term for scripting the reporting and data-gathering work that's normally done by hand, pulling numbers from your RMM, backups, and line-of-business systems into a dashboard or scheduled report instead of someone building it in a spreadsheet every month.

Is this a full business intelligence platform?

No. This is a newer service line built for specific, scoped reporting problems (a compliance dashboard, a monthly metrics report, an inventory pull), not an enterprise BI rollout. If your need is bigger than that, we'll tell you plainly.

Can you automate compliance and audit reporting?

Yes, for the kind of data we already touch as your MSP (asset inventory, encryption status, patch compliance). We've automated a 312-asset hardware inventory for an insurance audit in 47 minutes instead of the two weeks quoted for manual collection. That's the same scripting discipline this service applies to reporting.

Do you build custom dashboards from scratch?

We build data pipelines and reports scoped to what you actually need tracked, using the sources you already have. We're not going to sell you a generic BI suite you'll never fully configure.

How does this fit with the managed IT plan?

The base plan covers monitoring, patching, and security, including the monthly reporting every client already gets. Analytics AI is for reporting needs beyond that baseline: custom dashboards or scheduled reports built around your specific KPIs, quoted separately on a call.

What's the timeline for a reporting project?

It depends on scope and how many data sources are involved, but most engagements start with a short data audit to confirm what's available before any dashboard work begins. Ask us for a timeline once we know your sources.