Software and SaaS development
Digital products that solve, scale and evolve.
Insights
Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
Editorial themes
Digital products that solve, scale and evolve.
AI systems for real-world processes.
Demand, catalogue, partners and conversion.
Every conversation in the right channel.
Available, observable and ready services.
A practical framework for deciding whether to fix an individual incident, eliminate its root cause, or redesign the process based on frequency, impact, and risk.
↗
Set rules for detecting duplicate customers, deciding which records to merge, and protecting useful data through confidence levels, human review, and traceability.
↗
An integration sandbox lets you validate connections without affecting live operations. Learn when to use one, what it should reproduce, and how to manage differences from production.
↗
Learn how to assess whether you can replace a SaaS solution without losing data or disrupting workflows by reviewing exports, dependencies, exit tests, and responsibilities.
↗
Decide which systems should create, read, and update data to choose synchronization that is secure, manageable, and aligned with each process.
↗
Shadow mode compares an automated decision with real operations before activation, helping teams identify risks and make evidence-based choices.
↗
A practical framework for assigning autonomy to automations based on impact, reversibility, uncertainty, context, and the ability to correct errors.
↗
A practical framework for defining data retention, archiving, anonymization, and deletion without disrupting operations or increasing risk.
↗
Operational framework for inventorying, replacing, and retiring exposed credentials with validation, traceability, and preventive controls.
↗
Design web application load tests with real user journeys, verifiable thresholds, and useful evidence to make decisions before a usage spike.
↗
Design verifiable attribution rules, conversion statuses, and evidence to settle affiliate commissions with fewer disputes.
↗
Guide to planning, testing, and validating a data migration between systems, with controlled parallel operation and evidence-based rollback.
↗