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.
Learn how to turn business goals into verifiable acceptance criteria, assign responsibility for validating each outcome, and handle changes without unexpected scope growth.
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A rollback plan defines when to stop a change, how to restore service, and what to do with data created during deployment to limit the impact.
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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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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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Define users, cases, exceptions, and dependencies to run a representative, safe digital pilot that can guide the next decision.
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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 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 deciding whether a process change should be addressed with code, manageable configuration, or a new product capability.
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A practical framework for deciding whether to retain, integrate, or replace internal tools before building a platform that amplifies existing problems.
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A guide to designing restoration tests, validating services and data, gathering evidence, and improving operational continuity.
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Design an exception queue to stop, explain, and recover automations with human control, traceability, and safe actions.
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