Assessment and IT architecture
Put processes, systems and data in order, and decide what to modernize, integrate or replace.
- A shared view of the current state
- Priorities justified by impact and dependencies
- A plan with owners and progress criteria
B2B services
Software, automation and AI for your company.
We solve operational challenges with IT consulting, development and integration. From Santiago, Chile, for small and mid-sized companies across LATAM.
To decide
Clarity before you invest.
AI consulting
Find the AI opportunities worth pursuing, assess data and risk, and get a roadmap you can act on.
- Opportunities ranked by impact and feasibility
- Risks and dependencies visible before building
- Measurable criteria to decide whether a pilot moves forward
Data and analytics
Put your data sources in order and turn them into dashboards, indicators and queries you can trust.
- One source of truth per indicator, with an owner
- Dashboards that refresh themselves and flag missing data
- Natural-language queries where the case justifies them
To build
Software that fits your operation.
Custom software
Applications, internal tools and portals built around your process, not around a template.
- A workflow shaped to how you actually work
- Permissions and validations built into the product
- A documented base you can maintain and extend
Web and portals
Corporate sites, web applications and B2B portals connected to your processes.
- An offer that is easy to understand and explore
- Flows usable on mobile and by keyboard
- Contact and requests wired into the business
System integration
Connect applications, CRM, ERP and data sources with validation, traceability and error recovery.
- Less duplicate data entry
- Clear rules on the source of truth
- Visible errors and a way to recover
To automate
Less repetitive work, with AI where it helps.
Process automation
Cut manual work and connect your operation, with AI only where it earns its place.
- Fewer manual steps between systems
- Validations and owners for every exception
- Metrics to compare time and errors against the baseline
AI agents and assistants
Document assistants and AI agents wired into your operation, with permissions and quality criteria.
- Faster access to authorized knowledge
- Bounded actions and explicit approvals
- Quality evaluation and incident logging
Formats of work
Three ways to start, with timelines and ranges.
Almost every project fits one of these three formats. Prices are reference values in UF — Chile’s inflation-indexed unit, roughly USD 42 — excluding VAT. They adjust to scope and we confirm them in writing before starting.
When it isn't clear yet what to solve, or with which technology.
from25 UFtotal
1 to 2 weeks- Review of processes, systems and data
- Opportunities ranked by impact and feasibility
- Proposed architecture and alternatives
- Roadmap with timelines and progress criteria
When something has to be built and left running in your operation.
from120 UFby scope
4 to 10 weeks- Agreed scope and acceptance criteria
- A demo every two weeks
- Tests for the exceptions, not just the happy path
- Documentation, training and handover
When something is in production and has to keep running.
from15 UFper month
Month to month- Agreed monthly hours for improvements
- Monitoring and infrastructure cost control
- Incident response with committed times
- Monthly report of usage and hours
Third-party licences and platform usage (clouds, models, telephony) are not included: they are paid directly to each provider and estimated during the assessment.
How we work
Three stages to get it into production.
- 01
Assessment and roadmap
We understand the problem, review processes, systems and data, and rank opportunities by impact and feasibility.
Assessment, proposed architecture and action plan - 02
Design and implementation
We build the solution end to end, in short validation cycles alongside your team.
Validated solution deployed in your environment - 03
Operation and evolution
We measure usage, correct with evidence and support your team to sustain and extend what was built.
Monitoring, documentation and operational handover
Before you start
How much does it cost to implement AI or automation?
It depends on the process, the integrations, usage volume and security requirements. Our proposal separates implementation, operation and maintenance once the scope is defined, and we publish reference ranges for each format of work.
How does an engagement start?
With an assessment of the process, the systems and the data. Then we define scope, a pilot, and the criteria that will tell us whether it's worth going further.
How long does a project take?
An assessment takes 1 to 2 weeks and a project usually runs 4 to 10 weeks, depending on scope, access and integrations. We agree milestones before building.
What results can my company expect?
Less manual work, fewer errors and faster response times. We measure against a baseline; results depend on the process, data quality and how the team adopts it.
How is our information protected?
We define permissions, data handling, activity logs and provider conditions based on the information and its risk. Sensitive actions can require human approval. The details are on our security page.
Will it fit how we work?
Scope can include your rules, interfaces and flows. We assess when configuring existing tools is enough and when custom software is the better answer.
Can it integrate with the tools we already use?
That depends on each system's APIs, permissions and limits. We verify the connections before committing to the implementation.
How is return on investment calculated?
We compare realizable benefits against implementation and operating costs over a defined period. Freed-up time is capacity, and it doesn't automatically become cash savings.
Not sure where to start?
Give us 30 minutes and we’ll frame the problem together before talking about tools.