Autotask PSA Reporting: Turning Operational Data Into Client-Ready Reports

What Autotask PSA reporting actually gives you

Autotask PSA includes a full reporting infrastructure. The Live Reports module is the primary interface, providing access to dozens of pre-built report templates and a custom report builder. Reports pull live data against filters you define: account, date range, resource, ticket status, contract, priority. You can export to PDF, Excel, or CSV. For internal use, the depth here is genuine.

Specific capabilities worth crediting:

Live Reports module. The pre-built templates cover the full service delivery picture: ticket volume by account, SLA compliance summaries, time entry reports by resource, contract utilization, billing summaries, and more. For an operations manager reviewing performance at the start of each month, this is a solid starting point that requires no configuration to use.

Custom Report Builder. Autotask's drag-and-drop report builder allows you to create reports combining fields from across the PSA, group by any dimension, apply conditional formatting, and save templates for reuse. The builder gives technical MSP staff meaningful flexibility without requiring API work. For MSPs with a dedicated operations or vCIO function, this tool does what it says.

Dashboards and widgets. Autotask dashboards let you configure visual widgets: ticket queue health, SLA countdown timers, workload distribution, satisfaction scores from surveys. These are particularly useful for NOC visibility and internal QBR preparation. A well-configured dashboard surfaces the operational signals a service delivery manager needs to act on.

Scheduled report delivery. Autotask supports scheduled reports that run automatically and email the output to recipients you define. This is automation in a meaningful sense: you configure it once and the report runs without manual intervention. The configuration is accessible, not buried, and the schedule options cover daily, weekly, and monthly cadences.

Client Portal. Autotask includes a client-facing portal where contacts at your accounts can log tickets, view ticket status, and access documents you share. Reports can be made accessible through the portal. The portal is a legitimate channel for client communication that many MSPs underuse.

The translation problem: why rich data does not equal client-ready reports

Autotask's reporting architecture was designed around a specific audience: MSP operations staff. That design choice is visible in every layer of the system. Ticket aging queues, resource utilization percentages, SLA breach counts, contract hours consumed versus contracted, escalation paths, queue depth by board. These metrics are exactly what a service manager needs to run a clean operation.

They are not what a client's CFO or operations director needs to understand the value of their IT investment.

This distinction matters because the mental model most MSPs carry into reporting is: "If I show the client more data, they will see the value." The clients who actually read your reports are not interpreting raw operational data. They are looking for answers to two questions: Is my IT running well? Am I getting what I pay for? A native Autotask SLA compliance export answers neither question directly. It provides inputs from which a technically-minded reader could construct those answers. Most clients do not do that work.

The translation gap is not unique to Autotask. ConnectWise Manage has the same structural constraint. But Autotask MSPs often feel it more acutely because the Autotask interface is particularly operations-centric, and the visual output of its standard reports reflects that. The table headers, the column naming conventions, the absence of any summary layer: it reads as a data export because that is what it is.

Where the gap shows in practice

The Kaseya acquisition and what it changed

Autotask was originally developed independently, then became part of Datto. When Kaseya acquired Datto in 2022, Autotask became part of the Kaseya portfolio alongside a range of other MSP tools including Datto RMM, IT Glue, and BMS. The acquisition did not change Autotask's core feature set, but it did change something more important for many MSPs: confidence in the vendor relationship.

Pricing structures shifted post-acquisition for several Kaseya products. MSPs who had been running Datto RMM alongside Autotask began evaluating whether the integrated Kaseya stack was still the right economic choice. Some shops who were already on the fence about their PSA used the acquisition as a trigger to reassess the full toolset. Others stayed put and accepted the new terms.

For MSPs still running Autotask within the Kaseya ecosystem, the acquisition created an argument for deeper integration: if you are already on Datto RMM and Autotask, you are theoretically in a position to pull combined data from both tools. In practice, cross-tool client-facing reporting from this stack still requires work outside both platforms. The integration at the data layer exists; the client-report delivery layer does not.

If your MSP evaluated alternatives after the acquisition, the Datto alternative post covers what shops were actually switching to and why pricing pressure was the dominant factor rather than feature gaps.

Three approaches to automating Autotask client reports

1. Manual exports and reformatting. Pull reports from the Live Reports module each month, copy relevant figures into a Word or PowerPoint template, add a narrative summary, and email the PDF to each client. For an MSP with fewer than eight clients, this is feasible. Above that count, it becomes a reliable time sink: the average MSP with 20 clients spends over 70 hours per month on manual reporting activity, most of which is reformatting and distribution rather than analysis. The work does not get easier as you grow because each new client adds to it proportionally.
2. Autotask with a BI or reporting add-on. Tools like IT Glue's reporting capabilities, or a dedicated BI layer connected to Autotask via the REST API, can produce more polished output than native Autotask exports. The Autotask API is well-documented and exposes the full object model: tickets, accounts, contracts, resources, SLAs, surveys. A reporting integration built on the API can pull exactly the data you need and transform it into client-ready format. The tradeoff is development time: a properly built integration requires 40 to 80 hours of initial engineering plus ongoing maintenance. Most MSPs do not have that bandwidth sitting idle, and redirecting it to a reporting system means redirecting it away from service delivery or growth work.
3. Done-for-you reporting service. A service that connects to Autotask via read-only API access, pulls your monthly data, combines it with RMM data, and delivers branded PDF reports to your clients on a fixed schedule. The economics work because the service cost is lower than the internal labor cost of manual reporting, and the output quality is higher than either manual or DIY automation at comparable budgets. The tradeoff is the opposite of the build-it-yourself approach: you own less of the process, which is precisely the point for teams that want reporting handled rather than managed.

What Autotask data translates well to client reports

Not all of Autotask's data is equally useful in a client-facing context. The following fields and metrics translate directly into language that clients understand without interpretation:

The Autotask fields that do not translate well without a narrative layer include ticket aging queues (which signal backlog health to your team, not value to the client), resource utilization rates (an internal capacity metric), and escalation counts (which require context to interpret as positive or negative). These are useful to your operations team and actively confusing to a client who has no frame of reference for what the numbers should look like.

How Roviret integrates with Autotask

Roviret connects to Autotask PSA using read-only API credentials. The integration uses Autotask's REST API to pull ticket data, account records, SLA metrics, and contract information on a monthly schedule. Read-only access means no write operations of any kind: Roviret cannot create, modify, or delete any record in your Autotask environment. This is the only configuration Roviret will use, and we document exactly which API endpoints we call so you can verify the scope before and after onboarding.

Setup works like this:

1. Create a read-only API user in Autotask. In Autotask PSA, navigate to Admin, then Resources, and create a new API-only resource. Assign a security level with read access to the ticket, account, contract, and SLA modules only. This takes under 15 minutes and creates a credential set scoped specifically to reporting.
2. Provide credentials during onboarding. Share the API username and key with Roviret through a secure credential handoff. Onboarding takes 48 hours from credential receipt to first sample report.
3. Approve your sample. Before any report goes to clients, you review and approve a sample built from your actual Autotask data. You can adjust what is included, what is omitted, and how the report is branded.
4. Reports deliver on a fixed monthly schedule. From that point, branded PDF reports go to your clients on the schedule you define. When you onboard a new client, we add them to the automation. When Autotask updates their API, our team handles the maintenance.

Roviret also connects to your RMM. If you are running Datto RMM, NinjaRMM, or N-able alongside Autotask, we pull endpoint health, patch compliance, and backup status from the RMM layer and combine it with Autotask's service desk data in one report. The cross-tool aggregation is what makes the report complete: PSA data answers the service desk question; RMM data answers the infrastructure question. Both belong in a client report.

Frequently asked questions