Reliable information
Consistent definitions, formats, and rules so different teams work from the same information.
Data · Information ready for operations
Put your data to work
Connect scattered files and systems into information your team can use. Consistent definitions, clear sources, and updates that support the work.
Data architecture
Example flow
Sources
Spreadsheets
Databases
Documents
ERP · CRM · APIs
→
Reliable foundation
Organize
Standardize
Consolidate
Quality · permissions · traceability
→
Uses
Reports
Systems
Integrations
AI agents
Result
A report that reconciles to its sources
One foundation, many uses
Connected systems
Data available for reports, applications, integrations, and operational processes.
Ready for AI
Structured, documented information with clear permissions for authorized models and agents.
The problem we solve
Stop rebuilding the same information
Information is often spread across spreadsheets, documents, and systems that do not communicate. This creates manual reports, conflicting versions, and fragile integrations.
Information lives in too many places
Finding and combining it depends on people who know every file and system.
The same data means different things
Customers, products, statuses, and dates change names or formats across teams.
Every new use requires manual work
Preparing a report, connecting a system, or testing an agent starts from scratch again.
Define the information once, then reuse it across reports, systems, and approved AI workflows.
What we build
Built around the information you need
The architecture follows your sources, update frequency, and intended use. We connect what is useful and make each transformation traceable.
-
01
SOURCES → INGESTION
We consolidate the sources
We connect spreadsheets, databases, documents, ERP, CRM, internal platforms, and external services.
-
02
MODEL → QUALITY
We standardize the information
We define common structures, identifiers, formats, and rules to reduce duplication and contradictions.
-
03
PIPELINES → CONTROL
We automate updates
We build flows to capture, transform, and keep data available at the required frequency.
-
04
DATA → USES
We make it available
We prepare the information for reports, systems, APIs, analytics tools, and AI agents.
The solution may include
Central repository Data warehouse Data lake or lakehouse Pipelines and APIs Data catalog and models Document base for AIAI-ready · Privacy and protection
Useful data, with clear boundaries
To be ready for AI, data must be organized, current, authorized, and traceable. Before connecting it to a model, we define what information may be used and how it must be protected.
Chilean law and contractual controls
We design solutions with applicable legislation in mind, including relevant requirements under Chilean Law No. 21,719 on the protection and processing of personal data.
TraceAI maintains a signed Data Processing Agreement with OpenAI for its corporate API organization.
View Law No. 21,719 Published December 13, 2024. Effective December 1, 2026.We reduce exposure before processing
We detect personal and sensitive data, remove unnecessary fields, and apply masking or pseudonymization before proceeding.
- Purpose-based minimization.
- Direct identifiers protected.
- Rules and reviews for higher-risk cases.
Not everything needs to be sent to a third party
When sensitivity requires it, we use locally executed models to identify protected fields within the approved infrastructure.
Only the sanitized or protected version continues to authorized systems and models.
01Original dataAuthorized sources
→
02Local detectionPersonal and sensitive fields
→
03ProtectionMinimize · mask · pseudonymize
→
The model receives only the information needed to perform the authorized task.
How we work
Start with one useful result
A real report, integration, or process lets us define the architecture from the value it must deliver—not from a list of technologies.
- 01Define the outcome
We agree on which report, integration, system, or process needs better data.
- 02Map sources and risks
We review where the information lives, how it is updated, and what restrictions it requires.
- 03Design and build
We implement models, rules, permissions, repositories, and update flows.
- 04Validate with real work
We test the solution through reports, queries, integrations, or agents.
The first step
Which report or process needs better data?
We build a foundation that can support your current tools and, when the process needs it, Tracey.