What is it?
It is the plan that connects AI to business goals: which processes to change, in what order, with what investment and with what expected return.
AI strategy and value
AI strategy and value means deciding where AI pays off, what it costs and how to change the way people work to capture that return. Your scattered initiatives become integrated, measurable operations, connected to the same context.
You start with the process and the number it needs to move. The technology comes after.

What is it?
It is the plan that connects AI to business goals: which processes to change, in what order, with what investment and with what expected return.
Why does it matter?
Without a strategy, AI becomes a collection of pilots that never reach operations and never show up in the company’s results.
How does it work?
We assess how operations work today, design how they could work with AI, prioritize by return and follow the change through to results.
What changes?
Higher productivity, lower costs and real-time indicators showing the value of each initiative.
The same question from the board, with and without a strategy.
Today
After
Each initiative has a business indicator and an owner from day one.
Where this fits: this solution is part of the Data and AI front and is usually the first step for companies that don’t yet know where to start. The 1-minute assessment gives a first answer.
“The company has several AI pilots and none in production.”
“No one can say what results AI has delivered.”
“Processes are disconnected and depend on manual effort.”
“People resist the changes AI requires.”
From strategy in the boardroom to change in teams’ daily work.
Where AI creates value, what to tackle first and how to move toward increasingly autonomous operations.
Also known as: Strategic Consulting (C-level) · roadmap to autonomous operations
The expected return of each initiative, with investment, timeline and a success indicator.
Also known as: Business Case · ROI
How each process works today and how it could work with AI, from end to end.
Also known as: As-Is assessment · AI-Driven design
Preparing people to work with AI, through communication, training and follow-up.
Also known as: Change Management
The plan for data to support AI priorities, with governance and costs under control.
Also known as: Data & AI Strategy, Governance & FinOps
6%
of companies see a significant impact from AI on operating results
Source: McKinsey, State of AI 2025
61%
of companies do not yet report any impact of AI on operating results
Source: HBR Analytic Services
95%
of organizations face integration challenges
Source: Connectivity Benchmark 2026
We also use AI in the assessment itself: to map processes from system records, estimate gains and simulate scenarios before investing.
Where to start
We map current operations, identify where AI creates the most value and deliver a prioritized roadmap with the business case.
Request the assessment →Four steps, from assessment to continuous evolution.
How operations work today: processes, systems, data and where the bottlenecks are.
How each process could work with AI and agents, with people deciding where it matters.
What to do first, by return and risk, with a business case for each stage.
Tracking indicators, adjusting course and preparing teams for the change.
Professional layer
As-Is assessment and process mining · AI-driven and agentified process design · prioritization by value and risk · business case and ROI model · committee and governance of AI initiatives · change management · roadmap to autonomous operations.
We call this Business Consulting: strategy, processes and change for the AI era.
Frequently asked questions
With a process that happens often, follows known rules, has data available and does not cause serious harm if it goes wrong. The assessment points to that process and its expected return before any investment.
With a business indicator defined before the project — service time, cost per transaction, revenue — and tracked afterward. Without that number, AI stays a matter of perception.
Because they start with the technology, not the process. They lack prepared data, integration with systems, governance rules and people ready for the change. A strategy solves this before the pilot.
AI takes over repetitive and lookup tasks; people keep what requires judgment and relationships. Change management prepares teams for this new division of work.
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.
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