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The Enterprise AI CompanyAgentified IT services

Agentified AMS · Applications and modernization

Old systems don’t have to hold back what comes next

Software and modernization means building new systems and renewing old ones step by step, without stopping operations. Your large, rigid systems become agile, secure solutions that are ready for agents.

Custom-built when it makes sense, on proven platforms when they solve the problem better.

Find where to start →

Development team reviewing code in front of monitors

What is it?

It is the work of writing, testing and renewing the systems a company uses — from apps to the internal systems nobody sees.

Why does it matter?

A system that is hard to change makes every new feature take months and eats up the budget that should go to innovation.

How does it work?

We map what exists, choose what to modernize first and replace it piece by piece, with automated tests and security from the start.

What changes?

New features go live often and with less risk, and the system starts to grow along with the business.

An example: changing a business rule

The same request, in two different systems.

Today

  1. Request from the business
  2. Change queue
  3. Change to the whole system
  4. Manual testing
  5. Deployment window

After

  1. Request from the business
  2. Change to the right part
  3. Automated testing
  4. Live in the same cycle

Each part of the system evolves at its own pace, with security checked at every delivery.

Where this fits: this solution is part of the Applications and SAP front, together with enterprise systems. Modernized systems connect faster to your operation’s context. This is where companies start when an old system is holding back operations.

Signs you need this

  • “Any change to the system turns into a months-long project.”

  • “No one wants to touch the old system for fear of breaking it.”

  • “Testing is manual and errors show up in production.”

  • “Most of the IT budget goes to maintaining, not creating.”

What we offer

To build what is missing and renew what already exists.

  • Modernize step by step

    We replace the old system piece by piece, without stopping operations and without betting everything on a single cutover.

    Also known as: Application Modernization · Wedge evolution

  • Platforms ready for AI

    Systems built from independent parts, in the cloud, with security built into the delivery pipeline.

    Also known as: AI-Native Platforms · Microservices · DevSecOps

  • Development teams with AI

    Teams that use AI every day to write, review and document code faster.

    Also known as: AI-Powered Squads

  • Continuous quality

    Automated, load and security tests at every delivery, so errors appear before the customer sees them.

    Also known as: Continuous Quality · Software QA · Performance engineering

  • A shared base for teams

    Standard tools and paths so each team can deliver without reinventing the infrastructure.

    Also known as: Platform Engineering

By the numbers

  • 70%

    of companies face bottlenecks and technical debt in old systems

    Source: Gartner / Forrester / IDC, 2025

  • 41%

    of the IT budget at large companies is consumed by technical debt

    Source: McKinsey & Company

  • 74%

    of organizations do not finish their modernization projects

    Source: OutSystems, The Growing Threat of Technical Debt

  • 12%

    of organizations have high maturity in platform engineering

    Source: Gartner / Forrester / IDC, 2025

Where AI comes in

AI comes in at two points: in the team, which writes, tests and documents code with AI support; and in the product, which is built from the start to work with AI agents and models.

Where to start

Assessment and architecture

We map the technical debt and security risks of the current system and design a step-by-step modernization path.

Request the assessment →

How we do it, step by step

The same path for new and old systems.

  1. 01

    Assess

    We map the technical debt, the security risks and what each part of the system does for the business.

  2. 02

    Design the platform

    We define how the system will look: independent parts, in the cloud, with governance and security from the start.

  3. 03

    Evolve step by step

    We modernize one part at a time, with the old system still running until the switch is safe.

  4. 04

    Ensure quality

    Automated and performance tests run at every delivery to keep the system resilient.

  5. 05

    Sustain

    We keep critical systems running with large-enterprise discipline and 24×7 support.

Who we build with

Development platforms and tools where we have certified teams.

Technologies in the Semantix ecosystem. Display of partner brands is subject to authorization.

How do we do it? See the technical detail →Hide the technical detail

Professional layer

Technical debt and security assessment · microservices and API architecture · containers and CI/CD pipelines with built-in security · strangler fig pattern for incremental modernization · automated, load and security testing · platform engineering and internal developer portals.

We call this Platforms & Software Development: Application Modernization, AI-Powered Squads, Continuous Quality and Platform Engineering.

Frequently asked questions

Common questions about software and modernization

Is it better to rewrite the system from scratch or modernize it gradually?

In most cases, modernize gradually. Rewriting everything at once is the path that fails most often: the old system keeps changing while the new one is being built. Step by step, each new part goes live and the risk stays under control.

What is technical debt?

It is the accumulated cost of shortcuts and technologies that have fallen behind. It shows up as slowness to change, frequent errors and dependence on a few people — and it consumes the budget that should go to new things.

Do you build custom software or use ready-made platforms?

Both. When a market platform does the job well, we build on it; when the business advantage lies in the software, we build it custom.

How does AI help in development?

Teams use AI to write, review, test and document code, which speeds up delivery and makes quality more consistent. People remain responsible for architecture decisions and the final review.

The Enterprise AI Company

Connected to your operation

This service is part of a single operating model, with AI agents and specialists on the Semantix AI Suite. Decisions made here feed your company’s shared context and make the other operations smarter.

  1. 01Service DeskField Services · Asset management · ITSM
  2. 02AMS · ApplicationsSupport · Modernization · QualityYou are here
  3. 03AMS SAPImplementation · Support · SAP Business AI
  4. 04NOC · Infrastructure and cloudCloudOps · FinOps · Observability
  5. 05SOC · Security24×7 monitoring · Identities · XDR and MDR
  6. 06DOC · Data and AIData platform · Analytics · AI governance
  7. 07Agentified business processesFinance · Customer service · Procurement and supply · People and HR · Legal and contracts · Risk and compliance

Agents on the volumeSpecialists on judgmentFrom platform to operations

One context for your companyEvery operation feeds the same context and runs on the same foundation: the Semantix AI Suite and Brazilian governance.Explore Semantix AI Suite →

Connect · Operate · Learn · Orchestrate

Not sure what a term means? That’s fine

Nobody should have to speak technology to understand a transformation.

Enterprise AI Company
A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
Hybrid workforce
AI agents handle the volume; specialists decide the exceptions and the risky cases.
Operation that learns
Every human decision becomes knowledge, so the next similar case is faster and cheaper.
Outcome-based contract
You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
Context
Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
AI
Computers able to perform tasks that would normally require human intelligence.
Agent
An AI system that can carry out tasks using tools.
Workflow
The path a piece of work travels inside a company.
API
A way of letting systems talk to each other.
Cloud
Computing and storage reached over the internet.
Data Platform
An environment that organizes and serves the company’s data.
Agentic AI
AI that can understand goals and carry out tasks within defined limits.
AI Harness
The structure that supplies the context, tools, rules and controls an agent needs to act safely.