Utility
We verify what problem must be solved, for whom and with what measured result.
Decisions and feasibility
AI project assessment
We help enterprises and entities understand whether an artificial intelligence project responds to a real need, if it can work in the expected process and what conditions it requires before investing time and resources.
When needed
Before the solution comes the problem, process and data.
An idea may seem promising but not be sustainable in the real process. Unclear objectives, inadequate data, hidden costs or undefined responsibilities can compromise the project before development.
Facts
We analyze process, data, skills, integrations, times and resources available.
Liability
We highlight risks, human controls, roles and decisions to be taken.
What includes
Understand if a project deserves to leave.
The evaluation is built on the concrete case and returns usable elements to proceed, correct the setting or stop.
We clarify the case of use
We define the problem, users, the expected result and the criteria to evaluate it with.
Let's examine the process
We reconstruct activities, decision points, data availability and operational dependencies.
We evaluate the conditions
We make explicit resources, expected benefits, constraints, responsibilities and major risks.
We compare alternatives
We indicate the checks and options to be considered before any development.
How we work
A preliminary analysis to decide with greater awareness.
- 01
Brief initial
We collect goals, contexts, people involved and materials already available.
- 02
Operating Comparison
We listen to the functions involved and rebuild the real process.
- 03
Evaluation
We analyze feasibility, expected value, dependencies, risks and possible alternatives.
- 04
Conclusions
We present priority and a clear proposal for the next step.
What do you get
Concrete elements to decide whether to proceed.
Evaluation Note
Objective, conditions, constraints and assumptions described in an understandable way.
Map of critical issues
Missing data, risks, dependencies and checks to be completed.
Next steps
Motivated indication on experimentation, revision, deepening or stop.
Enterprises, startups, agencies and public administrations.
The service is useful when there is a case of use, an evaluation project or a proposal received by a supplier and serves an independent reading before making commitments.
Let's talk about it.
Do you have an AI project to evaluate?
Describe the problem, the process involved, the state of the project and the decision you have to make.
Request an assessment