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.
Set RTO and RPO according to each process’s impact, dependencies, and actual recovery capacity. Learn how to agree on objectives and validate them through testing.
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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.
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Decide what to translate, adapt, or share based on clarity, risk, market differences, and maintenance. Use practical fallback criteria and a review workflow.
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Treat customer offboarding as a verifiable workflow. Revoke access, handle data and integrations, and confirm that no active dependencies remain.
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Choosing when to reserve inventory prevents overselling and inventory lockups. This framework helps define timing, expiration periods, priorities, and operational controls.
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Decide which systems should create, read, and update data to choose synchronization that is secure, manageable, and aligned with each process.
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Plan digital maintenance using impact, communication, rollback, and validation criteria to reduce technical and operational risks.
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Define users, cases, exceptions, and dependencies to run a representative, safe digital pilot that can guide the next decision.
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A practical framework for assigning autonomy to automations based on impact, reversibility, uncertainty, context, and the ability to correct errors.
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A practical framework for deciding which data travels in an event, which data is retrieved later, and how to avoid dependencies, stale data, and security risks.
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A practical framework for defining data retention, archiving, anonymization, and deletion without disrupting operations or increasing risk.
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A practical framework for deciding which internal processes require an SLA and which need reviewable operational targets, without inflating costs.
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