Enterprise assistants and agents
Support for defined queries and tasks, with appropriate boundaries, permissions and review points.
Applied Artificial Intelligence for Business
Artificial intelligence with a business purpose.
We identify where AI can add value and what must be ready to use it. We connect processes, data and human oversight before scaling a solution.
For businesses in Colombia, Venezuela and global markets
The starting point
The question is not which AI to buy. It is which problem to solve.
Adopting artificial intelligence without reviewing processes can accelerate errors or produce answers no one knows how to validate. We start with a specific need and assess data availability, responsibilities and conditions of use.
Do any of these situations sound familiar?
- 01Your team spends time finding and organizing scattered information.
- 02There is an automation opportunity, but you do not know whether it requires AI.
- 03You need to assess an initiative before putting it into operation.
What we can address
Scope connected to your needs.
A defined use case with criteria for assessing usefulness, quality and control.
Intelligent automation
AI applied within processes that have a clear need and a way to verify outcomes.
Analysis and decision support
Assessment of predictive and analytical uses based on data quality and availability.
Extended service capabilities
- Data integration and structuring
- Data governance and quality
- BI, dashboards, analytics and predictive models
- Intelligent process automation
- Enterprise assistants, copilots and agents
- Generative AI solutions
- AI-Dev Assessment for organizations using AI in software development
What you can move forward with
Deliverables that guide the next step.
We define scope and deliverables before starting, according to your company’s context and priorities.
The following components are a reference for this service. The specific proposal defines activities, owners, investment and terms.
- 01
Prioritized use case
The initiative’s problem, users, scope and expected outcome.
- 02
Readiness assessment
Review of the required processes, data and organizational conditions.
- 03
Solution validation
Tests and assessment criteria agreed for the selected case.
- 04
Governance recommendations
Responsibilities, human oversight and next steps for adoption.
An application scenario
Finding information without losing control of the answer.
A team consults internal documents to handle requests. We can assess an assistant with defined sources and human review, checking whether its answers are useful and when they should be escalated to a person.
What would be useful to observe
Answer quality, response time, review frequency and usefulness to users.
How we work
Business first. Then technology.
Select
We identify a need and an owner.
Prepare
We review data, processes and constraints.
Validate
We assess the case against explicit criteria.
Decide
We determine whether to adjust, scale or stop.
Before getting started
Questions worth addressing.
Should every process incorporate AI?
No. In some cases an integration, a business rule or a process change is a better fit. We assess the alternative before implementation.
Can AI operate without supervision?
The level of autonomy depends on risk and context. We design boundaries and review points; we do not promise absolute accuracy or autonomous decisions suitable for every scenario.
Do we need to have our data organized?
Data quality and availability shape the project. The consultation helps identify what needs preparation before moving forward.
Let’s take the first step
Let’s identify an AI use case that makes sense for your company.
An initial conversation to understand your context and assess how we can help.