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.
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A secure transfer separates organizational ownership from individual permissions, verifies the incoming administrator, and plans for disputes, mistakes, and orphaned accounts.
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Learn which tasks are best handled by rules, which may benefit from AI, and when to combine them based on data clarity, the cost of errors, and exception handling.
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Prioritize testing based on a failure’s impact, likelihood, and detectability. This practical framework helps validate changes without slowing releases or leaving critical risks uncovered.
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A practical framework for deciding when to let users undo, restore, or correct actions based on their impact, recovery costs, and effects on connected systems.
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A manual review queue turns automation exceptions into understandable, assignable, traceable cases, with clear actions and defined criteria for resolution.
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Define data freshness according to the decisions it supports. Set acceptable delays, make lag visible, and decide what to do when information becomes outdated.
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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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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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Compare shared databases, separate schemas, and dedicated databases to choose the data isolation model that fits your SaaS risks, customers, and team.
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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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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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