AI implementation consultancy
AI that reaches operations. Implemented, measured, in use.
We implement artificial intelligence in companies that are past curiosity and want results: faster processes, less manual work, better-informed decisions.
- Customer supportRequest answered
- DocumentsData posted to the system
- SalesProposal awaiting validation
- ReportingPreparing the report
4
processes running every day
- Focus
- AI implementation
- Support
- Strategy · IT · Web
- Method
- Diagnosis → Plan → Implementation → Operation
Companies we work with
The problem
Most AI projects die in the pilot.
Not for lack of technology. They die because nobody dealt with what comes before and after the model.
The data is not ready
The pilot works on a clean spreadsheet. The operation lives in five systems that do not talk to each other.
Nobody owns the result
Without a business owner and an agreed metric, the project stays a technical exercise.
The team does not change how it works
A tool that never enters people’s routine is abandoned within three months.
That is why we handle the whole implementation: from diagnosis to daily operation.
The method
Four stages, with a decision at the end of each.
Each stage has a timeframe and a deliverable. At the end we decide together: continue, adjust or stop.
- 012 weeks
Diagnosis
Before moving ahead we learn the ground: processes, data, systems and where AI pays back the investment.
DeliverableOpportunity map with estimated return
- 021–2 weeks
Plan
We choose one use case, agree the success metric and design the solution and its integrations.
DeliverableImplementation plan and fixed budget
- 036–10 weeks
Implementation
We build with real data, inside your systems, with the team that will use the solution.
DeliverableSolution in production with real users
- 04Ongoing
Operation
We monitor, tune and train the team. When it makes sense, we move on to the next use case.
DeliverablePerformance report and evolution plan
Business cases
Work done.
Each case with the problem, the approach and the numbers.
−58%
average response time
An assistant that resolves six in ten customer support requests
National furniture retailer, 40 stores
Illustrative exampleRead the case3 dias → 20 min
posting time per invoice
Supplier invoices posted in minutes, not days
Logistics operator, 120 employees
Illustrative exampleRead the case5
initiatives prioritised
An AI roadmap with five initiatives ranked by return
Family-owned industrial group, three production sites
Illustrative exampleRead the caseSupporting capabilities
What makes AI possible.
A model alone does not change a company. So our team also works on everything around it.
Strategy consulting
Where to invest, in what order and with what expected return.
IT & integration
Data, infrastructure and connections between systems, so AI works with real information.
Web development
Websites, portals and internal tools where solutions get an interface.
Team
People, not a black box.
You always know who you are talking to.
Rodrigo Almeida
Chief Executive Officer
João Bernardes
Commercial Director
Miguel Paulino
Technology Director
Which process costs you the most today?
Thirty minutes is enough to see whether AI solves it. If it does not, we will say so.
Book a diagnosis