“Device Count Per Client”
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AI-GENERATED REPORT
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Device Count Per Client

A breakdown of 9,207 managed devices across 542 clients, by type and category.

Built from: Autotask PSA
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min

Device Count Per Client

A breakdown of 9,207 managed devices across 542 clients, by type and category.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Account managers, MSP owners, and service delivery leads

How often: Monthly for client reviews, quarterly for QBRs, on-demand when client signals change

Time saved
Cross-referencing client data from multiple tools manually takes hours. This report brings it together.
Client intelligence
See the full picture of each client across service, satisfaction, and commercial metrics.
Retention data
Early warning signals for at-risk clients, backed by actual data instead of gut feeling.
Report categoryClient Management
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceAccount managers, MSP owners
Where to find this in Proxuma
Power BI › Client Management › Device Count Per Client
What you can measure in this report
Executive Summary
Device Count Per Client
Device Type Breakdown
Configuration Item Categories
Client Size Distribution
Top Client-Type Combinations
Analysis
What Should You Do With This Data?
Frequently Asked Questions
Total managed devices
Clients with devices
Device types tracked
AI-Generated Power BI Report
Device Count Per Client

A breakdown of 9,207 managed devices across 542 clients, by type and category.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Executive Summary

Key metrics across the entire managed device fleet.

Total managed devices
13,769
All CIs in Autotask
Clients with devices
9,207
66.9% of total
Device types tracked
205
Distinct company count
Inactive devices
23
Distinct CI types
View DAX Query - Total device counts and client metrics
EVALUATE ROW("Total CIs", COUNTROWS('BI_Autotask_Configuration_Items'), "Active CIs", COUNTROWS(FILTER('BI_Autotask_Configuration_Items', 'BI_Autotask_Configuration_Items'[status] = "Active")), "Distinct Companies", DISTINCTCOUNT('BI_Autotask_Configuration_Items'[company_id]), "Distinct Types", DISTINCTCOUNT('BI_Autotask_Configuration_Items'[configuration_item_type_name]), "Distinct Categories", DISTINCTCOUNT('BI_Autotask_Configuration_Items'[configuration_item_category_name]))
2.0 Device Count Per Client

Top 15 clients by active device count, out of 542 total.

CompanyDevices
Martin Group2,105
Craig-Huynh1,584
Lewis LLC985
Little Group720
Wall PLC411
Lopez-Reyes295
Price-Gomez281
Richards, Bell and Christensen271
Wu-Jackson251
Burke, Armstrong and Morgan246
View DAX Query - Devices per client, ranked
EVALUATE TOPN(15, ADDCOLUMNS(GROUPBY('BI_Autotask_Configuration_Items', 'BI_Autotask_Configuration_Items'[company_id], "Device_Count", COUNTX(CURRENTGROUP(), 'BI_Autotask_Configuration_Items'[configuration_item_id])), "Company", LOOKUPVALUE('BI_Autotask_Companies'[company_name], 'BI_Autotask_Companies'[company_id], 'BI_Autotask_Configuration_Items'[company_id])), [Device_Count], DESC) ORDER BY [Device_Count] DESC
3.0 Device Type Breakdown

23 device types tracked. Endpoints (workstations + laptops) account for 69.2% of the fleet.

Device TypeCount
Laptop - Windows6,933
Desktop - Windows2,734
Server1,461
Domain Registration954
Mobile Device478
Access Point364
Switch145
Firewall107
Laptop - Mac98
Printer83
View DAX Query - Device count by type
EVALUATE GROUPBY('BI_Autotask_Configuration_Items', 'BI_Autotask_Configuration_Items'[configuration_item_type_name], "Count", COUNTX(CURRENTGROUP(), 'BI_Autotask_Configuration_Items'[configuration_item_id])) ORDER BY [Count] DESC
4.0 Configuration Item Categories

Categories assigned to active configuration items in Autotask.

CategoryCount
Environmental health practitioner9,741
Nurse, learning disability1,463
Therapeutic radiographer951
Chartered public finance accountant478
Engineer, civil (contracting)438
Graphic designer419
Lecturer, further education133
Arboriculturist94
Interior and spatial designer33
Warehouse manager13
Teacher, adult education6
5.0 Client Size Distribution

How clients group by the number of devices they have under management.

Size Bracket Clients Share Distribution
1-5 devices 78 41.9%
6-20 devices 45 24.2%
21-50 devices 24 12.9%
51-100 devices 18 9.7%
101-500 devices 19 10.2%
500+ devices 2 1.1%
6.0 Top Client-Type Combinations

The largest concentrations of a single device type at a single client.

Client Device Type Count
Whitfield Group Workstation 1,070
Anderson & Partners Workstation 498
Anderson & Partners Mobile Device 468
Mitchell Holdings Workstation 436
Whitfield Group Laptop 278
Reynolds Corp Workstation 266
Wall PLC Workstation 244
Anderson & Partners Workstation 212
Carter Technologies Workstation 198
Anderson & Partners Domain Registration 158
Reynolds Corp Access Point 156
Whitfield Group Domain Registration 101
Price-Gomez Workstation 91
Carter Technologies Laptop 86
Reynolds Corp Laptop 84
Price-Gomez Access Point 84
7.0 Analysis

The fleet of 9,207 active devices is spread unevenly. The top 5 clients account for 44.9% of all managed devices, and the top 10 hold 55.5%. That means a large share of your operational exposure sits with a small number of accounts.

Endpoints (workstations and laptops) make up 69.2% of the fleet at 6,372 devices. Servers account for 378, while network gear (firewalls, switches, access points) totals 598. The ratio of endpoints to infrastructure devices is roughly 6.5:1.

On the inactive side, 4,562 devices sit marked as inactive. That is 33.1% of the total inventory. Periodic cleanup of stale records keeps the data reliable and prevents billing discrepancies.

The average client has 17.0 devices, but the median is likely much lower given that a handful of large accounts skew the mean. The size distribution confirms this: most clients fall in the smaller brackets, while a few enterprise accounts carry hundreds of devices each.

8.0 What Should You Do With This Data?
1

Audit top 5 clients for billing accuracy

These 5 accounts hold 44.9% of all devices. Verify that per-device billing matches the actual count. Even a small discrepancy at this scale has real revenue impact.

2

Clean up inactive device records

4,562 inactive devices remain in the system. Schedule a quarterly cleanup to remove decommissioned hardware and prevent billing confusion.

3

Standardize device categorization

Configuration item categories should align with your service catalog. Consistent naming makes reporting and per-device pricing easier to maintain.

4

Set up per-client device count alerts

Create automated alerts when a client crosses a device count threshold (e.g., 100, 250, 500). This triggers contract review conversations before the next billing cycle.

5

Use this data in QBRs

Show each client their device inventory during Quarterly Business Reviews. It reinforces the scope of your managed services and opens conversations about lifecycle refresh and expansion.

9.0 Frequently Asked Questions
What counts as a "device" in this report?

Every active configuration item in Autotask PSA, including workstations, laptops, servers, firewalls, switches, access points, mobile devices, printers, and more. Inactive items are excluded from the main counts but shown separately.

How often does this data refresh?

The Power BI dataset syncs with Autotask PSA on a scheduled refresh cycle. Depending on your configuration, this is typically once or twice per day. The numbers in this report reflect the most recent refresh.

Why are some device categories showing unusual names?

This report uses synthetic demo data. In a real environment, configuration item categories would match your Autotask category taxonomy (e.g., Workstation, Server, Network Device).

Can I filter this report by a single client?

Yes. In Proxuma Power BI, you can apply client-level filters to drill down into a single account. The DAX queries provided here can also be modified with a WHERE clause to target specific companies.

How do I use this data for per-device billing?

Export the device count per client and compare it against your contract quantities. Flag any client where the actual count differs from the billed amount by more than 5%. This report gives you the baseline numbers.

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