In a business universe increasingly dependent on data, the (so-called ERPs) are the operational heart of companies of all sizes. They concentrate financial, tax, inventory, sales and management analysis information in a single environment, allowing crucial decisions to be made with speed and precision.
In practice, one ERP (Enterprise Resource Planning) works like a big corporate brain. It connects different areas of the company, centralizes processes previously spread across multiple tools and automates routines ranging from accounting closing to tax calculation. The promise is simple: have everything in a single system, with reliable data, updated in real time and ready for analysis.
But although indispensable, ERPs carry a reputation that has haunted managers for decades: implementation is long, expensive and exhausting. In many cases, it takes months, and sometimes years, of manual parameterization, data migration and point-to-point adjustments so that the system can finally start running.
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And it is in this scenario that a promise of disruption emerges: technology created by the Brazilian Sankhya. The product uses Artificial intelligence to automate practically the entire ERP implementation process. What reduces a complex cycle to something that can be completed in “he’s zero”.
The historical deployment bottleneck
Implementing ERPs is traditionally an expensive process in terms of human capital and time. External consultants and internal teams spend months analyzing documents, in addition to deciding tax rules, filling out registrations, mapping flows and testing each step to ensure compliance.
According to Sankhya’s CTO, Claudio Gualbertothis pain is not the result of bad technology, but of the historical design of the systems themselves. “The ERP system itself is extremely powerful. The problem has always been the way it is implemented. Everything was done manually, one configuration at a time, one rule at a time, one registration at a time”, he states.
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He explains that, although each company has specific needs, many of the initial parameterizations follow similar patterns, and it is precisely this pattern that AI can interpret and automate. “It makes no sense to manually repeat a process that technology is already capable of executing with precision and at scale,” he says.
What is the Deploy Agent?
The works as an “intelligent coordinator” of the implementation. It analyzes the company’s tax documents, such as incoming and outgoing notes, product codes, tax regimes, cost structure, among others, and automatically reconstructs the business’s operational logic. This is the point that, according to Sankhya, breaks decades of inefficiency in the sector.
“Deploy Agent allows the customer to start using the system on the same day of hiring, because Artificial Intelligence identifies how the company works and already parameters everything for it”
The tool eliminates most of the tasks that consumed teams’ time and effort, such as:
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- creation of records based on tax data;
- automatic definition of tax rules;
- generation of financial flows;
- structuring cost centers;
- assembly of initial management dashboards;
- configuration of the first reports.
ERP that is born ready to operate
Therefore, instead of delivering a “blank” system that needs to be filled in field by field, o delivers an ERP that is already functional. According to Felipe CalixtoCEO of Sankhya, this is the most profound paradigm shift in innovation.
“The big difference is that the ERP is ready-made. On day zero, the client already has tax audits, cost calculations, analytical dashboards and the entire core of the system ready for use”
Automation does not mean loss of control. Teams can tweak details later, but the important thing is that the bulk of the work is already done.
Bia’s strength: AI acting as co-pilot
It also integrates with BiaSankhya’s virtual assistant. She acts as a kind of internal consultant who is always available. Bia then guides the use of the system, answers complex questions about tax and financial processes, suggests operational improvements, generates reports and analyzes on demand, identifies bottlenecks and interprets performance indicators.
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“With Bia, the manager gains additional intelligence on a daily basis. It reduces time spent on operational tasks and accelerates strategic decisions”, explains Calixto.
This layer of continuous use complements the initial impact of the Deploy Agent, which enters precisely the most critical phase, which is the beginning.
Prepared for the 2026 tax reform
From January 2026, Brazilian companies will have to live with new taxes and new tax structures, such as IBS, CBS and credit mechanisms that will require more precision in data. And according to Sankhya, the Deploy Agent is already prepared for this. After all, the company is one of 127 companies that are participating in the government’s pilot program to implement tax reform.
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“Artificial Intelligence quickly interprets new documents and adapts tax flows. This will be essential to ensure compliance and reduce risks in the transition”, says Calixto.
For many companies, this agility can mean significant financial and operational savings.
The Leap to Enterprise Intelligence
With Deploy Agent, Sankhya argues that the market is entering a new era. “We are ushering in the era of Enterprise Intelligence Platform. Traditional ERP is not going away. It evolves. AI becomes a protagonist not only in the operation, but in the adoption of the system itself”, says Calixto.
And this movement, according to him, is irreversible. “It doesn’t make sense that, in 2025, companies still need to spend months implementing a management system. This is left behind”, he concludes.
By transforming deployment into an automatic, fast and intelligent process, the Deploy Agent not only solves a historical pain, but repositions ERP as a product that is immediately usable, accessible and much more aligned with the speed demands of the current market.
