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 rules for detecting duplicate customers, deciding which records to merge, and protecting useful data through confidence levels, human review, and traceability.
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Learn when a shared inbox no longer works and how to design a work queue with priorities, owners, and traceability that supports daily operations.
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A practical framework for choosing, preserving, and reconciling identifiers across CRM, ERP, ecommerce, and custom applications without confusing entities.
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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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Shadow mode compares an automated decision with real operations before activation, helping teams identify risks and make evidence-based choices.
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A spreadsheet can support useful processes for years. This framework helps identify when its flexibility becomes an operational risk.
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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 distinguishing a product gap from a process, data, permissions, user experience, or adoption issue before prioritizing development.
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Learn to distinguish functional history, audit trails, and operational traceability to record the right events, protect data, and provide useful evidence.
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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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Learn how to prioritize errors in digital processes using operational criteria to block, alert, or correct them without unnecessarily slowing the business.
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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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