We connect your ERP, CRM and finance systems to a dashboard that updates itself and a chat where leadership asks questions in plain language. When no off-the-shelf software does the job, we build the system in stages, with you using it from the first few weeks.
The drop came from 3 factors:
I recommend renegotiating freight before Black Friday.
Illustrative example
From a dashboard that replaces the spreadsheet to a brand-new system. We always start with the smallest step that already solves the problem.
Sales, margin, inventory and cash updated straight from your systems, with no one building a spreadsheet on Mondays.
A chat connected to the ERP, CRM and finance. Ask why margin dropped and get the causes ranked by impact, with the source of every number.
When no off-the-shelf software fits the process: a customer portal, an internal system, a field app or a new product.
If two or more sound familiar, decisions are arriving late, and that costs more than any system.
Every week, someone pulls data from three systems to put together the same presentation.
Sales, finance and operations argue over which spreadsheet is right instead of making a decision.
When they go on vacation, nobody knows how to update the formulas.
The team keeps its own tracking on the side because the system doesn’t cover the process.
The data exists, but it takes so long to arrive that the decision gets made before it does.
A custom-built system is software built for your company’s process, instead of bending the process to fit an off-the-shelf product. It’s worth it when the process is what sets the business apart, when ready-made systems force the team to keep tracking on the side or when license costs exceed the cost of building and maintaining your own.
Each screen shows what your team needs, in the order they work, with your business rules.
It reads from and writes to the ERP, CRM and finance systems, so no one types the same information twice.
Code, data and documentation stay with you. No vendor lock-in.
Not every problem calls for a new system. Often a dashboard on top of what you already have solves it faster and for less.
| Off-the-shelf software | This pageDashboard on top of what you have | Custom-built system | |
|---|---|---|---|
| When it makes sense | The process is the market standard | The data exists but is scattered | The process is unique or sets the business apart |
| Typical timeline | Days, plus the time the team needs to adapt | 2 to 6 weeks | First version in weeks, continuous evolution |
| Cost | A per-user license, every month | Fixed-price project plus maintenance | Project in stages plus maintenance |
| Main risk | The process bends to fit the software | Messy source data | Scope that grows out of control |
When the bottleneck is manual work between systems, not a lack of information, the answer is usually process automation.
You use the system with real data from the first releases and decide the next step based on what worked.
Who will use it, what decision they need to make and where the data comes from.
You getThe scope of the first version.
A lean version, with real data, in the hands of the people who will use it.
You getThe dashboard or system up and running.
Each cycle adds what real use showed was missing, in the order of priority you set.
You getImprovements in your order of priority.
Monitoring, support, documentation and training for the people who will run it.
You getA stable, documented system.
The biggest risk with an AI dashboard is an answer that sounds convincing and is wrong. Three safeguards prevent that.
Every answer shows which system and which period each figure came from. Anyone reading it can check.
The AI fetches the number from the source system; it doesn’t calculate from memory. Without data, it says it doesn’t know.
Everyone sees only the data they could already see in the source system, and every query is logged.
We cover these safeguards in detail in our article on how to keep AI from making up data (in Portuguese).
“They delivered a working system, not a Figma mockup. In three weeks we were processing credit straight in the bank’s format.”
It depends on the size of the first version, the number of systems connected and how many people will use it. The proposal comes with fixed scope, timeline and price, and we start with the smallest version that already solves the problem.
A dashboard on top of the systems you already use is usually ready in 2 to 6 weeks. A new system is delivered in stages: the first version goes into use within weeks and evolves with each cycle.
Your company. We hand over the code, documentation and access. You can keep maintaining it with us, with your in-house team or with another vendor.
In most cases, yes. We connect through the official integration when there is one and through other secure routes when there isn’t. This is checked in the assessment, before any proposal.
The AI doesn’t calculate from memory: it looks up the data in the system and shows the source of every number. When the data can’t answer the question, it says it doesn’t know instead of making something up.
Traditional BI shows charts that someone has to interpret. Here, in addition to the dashboard, leadership asks questions in plain language and gets the cause and the source. And when the problem is the process, not just the data, we build the system that’s missing.
No. We take care of building, hosting and support. If you have an in-house team, we train them to take over whatever makes sense.
The free assessment shows whether the answer is a dashboard on top of what you already have or a new system, and where to start.
