I am currently testing an advanced reporting add-on for SuiteCRM 7 during a 30-day trial.
We use SuiteCRM in the financial sector, mainly to manage leads, clients, loan requests, quotes/preventivi, practices/pratiche, tasks, calls, meetings, and related operational activities.
Our CRM is fully configured in Italian, including the interface and user language settings. However, the reporting add-on interface appears mainly in English.
My goal is to create advanced reports, especially for custom modules such as “Pratiche”, where I need to show all important information together in one report, including related data from Leads, Clients, Preventivi, Tasks, Calls, Meetings, and other connected records.
For those who have experience with SuiteCRM reporting in real business environments:
What reporting solution do you recommend for SuiteCRM 7, especially for the financial sector?
Is it realistic to translate an advanced reporting add-on properly into Italian by modifying language files?
Are there reporting tools for SuiteCRM 7 that already support Italian better?
For reports involving custom modules and related records, would you recommend using the native SuiteCRM Reports module, an external reporting add-on, or another solution?
What should I check during the trial period before deciding whether to purchase the reporting add-on?
if you’ve already leveraged the standard SuiteCRM reports to the fullest, it’s time to look into a different solution.
In general, there are few to none really great reporting / BI / dashboarding solutions in PHP.
Given the stateless technology background and the requirements that people have / expect towards a BI solution it’s just not really possible to build sth. great / smooth / “real timey” in PHP.
You can take the standard reporting very far.
And you can even make it more powerful, but storing more data / data points directly in your CRM (look at concepts / keywords like “kimball data warehouse” / fact tables etc.)
If you’ve outgrown the standard reporting in Suite, try to find an IT solution, where you’ll get read access to the CRM data (and likely other systems to break down the silos and make reporting more useful) and connect to a BI solution.
There, you can build your data models and build up your reports.
MetaBase is incredibly easy, open source, self hosted and very powerful:
However, there are other solutions out there as well.
Most of the “big” software / standard systems nowadays are multi-language - no need to wrestle with old/small/… software which doesn’t meet your requirements.
I’m currently in a fintech as well - depending on your environment, compliance, GDPR etc. Metabase might just be your safest bet.
Additionally, depending on the size of your database, it could be that plugins in your CRM are overloading your web server.
Even around a few 100k - million records, depending on how you join and report there, you can potentially freeze your server.
(which can result into issues with other integrated systems if you don’t have proper request queues with retry mechanisms in place).
@rsp
You mean, via Claude Code (or any other AI agent system) to use the SuiteCRM API as sort of RAG system / build a dashboard with agents?
It should work, with some limitations and buts:
Not all modules are accessible via the JSON API. As long as you only need data from the API enabled modules, you’re in a good starting position.
In the standard API queries, you’ll have a lot of overhead inside the responses. This will consume tokens, take bigger / more expensive models to decide whether it’s relevant and make things slower.
None deterministic: For reporting, you’d usually want to have a dashboard / reports where you simply click, load and get every week / every day / every month the same structure / criteria. It’s repeatable and deterministic and therefore doesn’t match well with an AI approach with live queries.
What could work better: MCP vs. Skills vs. API implementation:
MCP: I’ve tried all MCP options I was able to find on Github and all failed and/or have been incredibly complex to implement. Plus: These are so far, just API wrappers. Hence, we’re looping back to the non deterministic / overhead issues from above.
Skills: It would be possible as well to define skills for your AI agent system (I’m using Hermes here) and tell it, how to access the API. However, the overhead and non-deterministic issues still remain.
API implementation: One could try to “vibe code” a reporting dashboard. The result would be some Python / JS code, which then connects to the API with predefined / pre-vibe coded queries and retrieves the data in a deterministic way. It’s still slower accessing the DB witht he limitations of pagination etc. but that would be a more solid approach then the ones before.
API implementation with GraphQL: That would be more efficient / easier than the vibe coded JSON API implementation, since GraphQL does have query / retrieval features built in. Conceptionally, this would be similar to the Suite 8 UI.
Over all, performance / timing wise:
Without having it tested and timed specifically:
If you wanted to report on something like:
All campaigns from 2026, with the leads, which turned into customers and deposited more then x €, sorted by summed deposits
with SQL / MetaBase, that query would probably take around 0.x - 2 seconds.
with the JSON API it might take 10 - 30 seconds (longer if there is plenty of pagination involved).
Additionally, one would be hitting the web server, so other CRM users could notice a performance drop.
as soon as the data model is properly defined inside a BI / MetaBase, using the tool via API / MCP / AI becomes fairly simple.
It’s turning into an easy RAG solution.
