How to engage
From platform to operations, at your pace
You can start at any stage: assess, use the platform with your team, build with Semantix, contract the operation or extend your team with professionals who work with AI. The technology is the same in all of them, and the contract can evolve to outcome-based whenever it makes sense for you.
Clients with a services contract with Semantix evolve to this model without starting from scratch.
From platform to operations: the ways to work with Semantix
You choose how far Semantix goes: the assessment sets the path, your team can build on the platform, Semantix can build alongside you or operate, and the extended team speeds up any of them.
- 01
Assess
When it is not yet clear where to start.
Short work with a fixed scope, ending in a prioritized plan and a business case.
- 02
Use the platform
When your team wants to build autonomously.
Your team creates its own workflows on the Semantix AI Suite, in your company’s environment, with Semantix support and governance.
- 03
Build
When what needs to be done is already defined.
A project with a beginning, middle and end: migrate, implement, integrate, modernize or put agents into production.
- 04
Operate
When what exists needs to work every day.
We take over operations with agreed service targets: applications, service desk, cloud, data, security or business processes.
- 05
Extend the team
When you lack people — or capacity — to deliver.
Professionals and squads who work with AI built into their daily work, with productivity measured from the start.
From effort to results, at your pace
We measure the baseline before we start and track the gains throughout the contract. That way, part of the payment can start to depend on business targets, such as service time or cost per transaction, as the operation matures.
76%
of clients want outcome-based models, but only 5% of current contracts work that way
Source: Gartner, 2024–2026
98%
of companies struggle to hire professionals with the right profile
Source: Brasscom, 2025
50%
of IT professionals lose more than 10 hours a week to documentation, meetings and alignment
Source: Datafolha/Ford, 2026
Professionals augmented by AI
More capacity to deliver results with the team you already have: our professionals work with an in-house AI suite and deliver more, better and faster.
Squads with AI
Complete teams, with AI built into their work, to deliver digital products.
Also known as: Squad as a Service (Augmented)
Code and quality with AI
Development, review and testing accelerated by AI, with more consistent quality.
Also known as: Augmented Code & Quality
Service with AI
Service teams supported by agents that resolve the repetitive cases.
Also known as: Augmented Service
Modernization with AI
AI reading and documenting old systems to speed up modernization.
Also known as: Augmented Modernization
Decisions with AI
Managers asking the data questions in plain language, without waiting for reports.
Also known as: Augmented Decision (DashToChat)
How we measure the gain
Productivity is measured before, during and after.
- 01
Identify the opportunities
Where AI can speed up the team’s work.
- 02
Measure current productivity
The baseline used for comparison.
- 03
Work with AI built in
Professionals using the AI suite every day.
- 04
Measure the gains continuously
Results compared to the baseline, throughout the contract.
Where to start, solution by solution
Each solution has an entry point with a fixed scope.
Architecture assessment
Environment, costs and risks, with a migration plan.
Cloud and infrastructure →Discovery consulting
Preparation and financial planning for the ERP’s evolution.
SAP →Software assessment and architecture
Technical debt, risks and the modernization path.
Software and modernization →Exposure assessment
Entry points and access rights, with the list of what to fix first.
Cybersecurity →Governance assessment
Data, AI tools in use and current rules.
Data and AI governance →IT maturity assessment
Processes, projects and continuity, with an improvement plan.
IT management and continuity →Data maturity assessment
Where the data is and what is missing for AI.
Data and knowledge →Assessment and business case
Where AI creates the most value, with a prioritized roadmap.
AI strategy and value →Application portfolio assessment
Applications in four quadrants, with targets for each group.
Service Desk →
Tools our teams use
Our professionals work on the platforms the client already uses, with our AI suite built in.
Technologies in the Semantix ecosystem. Display of partner brands is subject to authorization.
Frequently asked questions
Common questions about how to engage
Do I need to hire everything at once?
No. Most clients start with a fixed-scope assessment and decide the next step with the plan in hand.
I already have a contract with Semantix. Can I evolve to the outcome-based model?
Yes. We start from the operation you already have: we measure the baseline, bring agents to the volume with specialists on the exceptions and, once the gains are measured, part of the payment starts to depend on agreed targets.
What is an outcome-based contract?
It is a contract where part of the payment depends on agreed business targets — such as service time or productivity — and not only on the hours or people assigned. To make this work, we measure the baseline before we start.
What is the difference between an AI squad and traditional staffing?
In traditional staffing, capacity only grows by adding people. In an AI squad, professionals work with an AI suite and productivity is measured from the start, so each person delivers more.
Can the same team build and then operate?
Yes, and that is what we recommend: the people who built the solution know it, and the handover to operations happens without losing knowledge.